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Killexams : IBM Information teaching - BingNews Search results Killexams : IBM Information teaching - BingNews Killexams : IILM University partners with IBM to provide students skill training on new-age technologies No result found, try new keyword!The program will help students gain competitive edge over others during interviews, internships along with IBM's globally-recognised Digital Badge, in addition to the degree offered by the University. Mon, 08 Aug 2022 19:19:21 -0500 en-in text/html Killexams : NetSPI rolls out 2 new open-source pen-testing tools at Black Hat

Were you unable to attend Transform 2022? Check out all of the summit sessions in our on-demand library now! Watch here.

Preventing and mitigating cyberattacks is a day-to-day — sometimes hour-to-hour — endeavor for enterprises. New, ever-more-advanced techniques are revealed constantly, especially with the rise in ransomware-as-a-service, crime syndicates and cybercrime commoditization. Likewise, statistics are seemingly endless, with a regular churn of new, updated reports and research studies revealing worsening conditions. 

According to Fortune Business Insights, the worldwide information security market will reach just around $376 billion in 2029. And, IBM research revealed that the average cost of a data breach is $4.35 million.

The harsh truth is that many organizations are exposed due to common software, hardware or organizational process vulnerabilities — 93% of all networks are open to breaches, according to one exact research report

Cybersecurity must therefore be a team effort, said Scott Sutherland, senior director at NetSPI, which specializes in enterprise penetration testing and attack-surface management. 

The company today announced the release of two new open-source tools for the information security community: PowerHuntShares and PowerHunt. Sutherland is demoing both at Black Hat USA this week. 

These new tools are aimed at helping defense, identity and access management (IAM) and security operations center (SOC) teams discover vulnerable network shares and Strengthen detections, said Sutherland. 

They have been developed — and released in an open-source capacity — to “help ensure our penetration testers and the IT community can more effectively identify and remediate excessive share permissions that are being abused by bad actors like ransomware groups,” said Sutherland. 

He added, “They can be used as part of a regular quarterly cadence, but the hope is they’ll be a starting point for companies that lacked awareness around these issues before the tools were released.” 

Vulnerabilities revealed (by the good guys)

The new PowerHuntShares capability inventories, analyzes and reports excessive privilege assigned to server message block (SMB) shares on Microsoft’s Active Directory (AD) domain-joined computers. 

SMB allows applications on a computer to read and write to files and to request services from server programs in a computer network.

NetSPI’s new tool helps address risks of excessive share permissions in AD environments that can lead to data exposure, privilege escalation and ransomware attacks within enterprise environments, explained Sutherland. 

“PowerHuntShares is focused on identifying shares configured with excessive permissions and providing data insight to understand how they are related to each other, when they were introduced into the environment, who owns them, and how exploitable they are,” said Sutherland. 

For instance, according to a exact study from cybersecurity company ExtraHop, SMB was the most prevalent protocol exposed in many industries: 34 out of 10,000 devices in financial services; 7 out of 10,000 devices in healthcare; and 5 out of 10,000 devices in state, local and education (SLED).

Enhanced threat hunting

Meanwhile, PowerHunt is a modular threat-hunting framework that identifies signs of compromise based on artifacts from common MITRE ATT&CK techniques. It also detects anomalies and outliers specific to the target environment.

The new tool can be used to quickly collect artifacts commonly associated with malicious behavior, explained Sutherland. It automates the collection of artifacts at scale using Microsoft PowerShell remoting and by performing initial analysis. It can also output .csv files that are easy to consume. This allows for additional triage and analysis through other tools and processes.

“While [the PowerHunt tool] calls out suspicious artifacts and statistical anomalies, its greatest value is simply producing data that can be used by other tools during threat-hunting exercises,” said Sutherland.

NetSPI offers penetration testing-as-a-ervice (PTaaS) through its ResolveTM penetration testing and vulnerability management platform. With this, its experts perform deep-dive manual penetration testing across application, network and cloud attack surfaces, said Sutherland. Historically, they test more than one million assets to find 4 million unique vulnerabilities.

The company’s global penetration testing team has also developed several open-source tools, including PowerUpSQL and MicroBurst. 

Sutherland underscored the importance of open-source tool development and said that NetSPI actively encourages innovation through collaboration.

Open source offers “the ability to use tools for free to better understand a concept or issue,” he said. And, while most open-source tools may not end up being an enterprise solution, they can bring awareness to specific issues and “encourage exploration of long-term solutions.” 

The ability to customize code is another advantage — anyone can get an open-source project and customize it to their needs. 

Ultimately, open source offers an “incredibly powerful” ability, said Sutherland. “It’s great to be able to learn from someone else’s code, build off that idea, collaborate with a complete stranger, and produce something new that you can share with thousands of people instantly around the world.”

Specifically relating to PowerHuntShares and PowerHunt, he urged the security community to check them out and contribute to them. 

“This will allow the community to better understand our SMB share attack surfaces and Strengthen strategies for remediation — together,” he said.

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Tue, 09 Aug 2022 02:00:00 -0500 Taryn Plumb en-US text/html
Killexams : Edology partners with IBM to launch Post Graduate Certificate Program in Data Science

Gurugram (Haryana) [India], July 30 (ANI/NewsVoir): Edology has announced a partnership with IBM, one of the world's top leading and reputed corporations, to introduce its Post Graduate Certificate Program in Data Science for working professionals and everyone wanting to enter the field of Data Science. Developed by IBM inventors and experts who hold numerous patents in the field of Data Science, this is the first IBM programme that has been completely designed by IBM and is being delivered by its faculty.

"The programme for the Edology x IBM Data Science course is a very special offering from IBM, and this is one-of-a-kind initiative," according to Hari Ramasubramanian, Leader, Business Development and Academia Relationships, IBM Expert Labs, India/South Asia. He further added, "There is a strong demand for skilled technology and trained professionals across the industry. Data science is not confined to IT. It includes all the verticals one can imagine-from board meetings to sports, data science brings a lot of value to organizations worldwide. For students, as well as professionals with experience, if you want to fast track your career on to the next level, this is the course you should be doing."

"The IBM Data Science certificate program through the Edology platform, will equip to adapt to the dynamics in the industry and drive technology innovation," said, Vithal Madyalkar, Program Director, IBM Innovation Centre for Education, India/South Asia. "The Data Science course modules will provide deep practical knowledge, coupled with broad-based industry alignment, interaction, talent discoverability as well as excellence in their professional practice."

A global Ed-Tech company, Edology helps students and professionals all around the world advance their careers in a variety of subjects, including data science, artificial intelligence, machine learning, cyber security, and more.

Unique Offerings of the IBM x Edology PG Certificate Programme in Data Science:

- 100+ hours of Live classes by IBM experts

- Globally recognized IBM digital badge

- Job opportunities with 300+ corporate partners

- Edology-IBM Award for Top Performers

- 1 on 1 mentorship from industry experts

- 1 day networking session with IBM team

- Guaranteed interview with IBM for top performers in each cohort

- Dedicated career assistance team

Sumanth Palepu, the Business Head at Edology, states, "Statistical estimates reveal that the worldwide market size for Data Science and analytics is anticipated to reach around a whopping $450 billion by 2025, which also means that the rivalry would be quite severe at the employee level, the competition will be very fierce. Thus, this collaboration with IBM is now more essential than ever, so that we are collectively able to deliver advanced level teaching to the students and working professionals and they get first-hand industry knowledge with our IBM experts."


Edology is a Global Ed-Tech Brand that provides industry-powered education and skills to students and professionals across the world, to help them achieve fast-track career growth. Launched in 2017, Edology connects professionals from across the globe with higher education programmes in the fields of law, finance, accounting, business, computing, marketing, fashion, criminology, psychology, and more.

It's a part of Global University Systems (GUS), an international network of higher-education institutions, brought together by a shared passion of providing industry-driven global education accessible and affordable. All the programs of Edology are built with the objective of providing its learners career enhancement and strong CV credentials, along with a quality learning experience.

The courses offered by Edology include Data Science, Certification in AI and Machine Learning, Data Analytics, PGP in International Business, PGP in Renewable Energy Management, PGP in Oil and Gas Management among others. These offerings are done through hands-on industry projects, interactive live classes, global peer-to-peer learning and other facilities.

This story is provided by NewsVoir. ANI will not be responsible in any way for the content of this article. (ANI/NewsVoir)


(This story has not been edited by Business Standard staff and is auto-generated from a syndicated feed.)

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Fri, 29 Jul 2022 21:40:00 -0500 text/html
Killexams : Colorado’s P-TECH Students Graduate Ready for Tech Careers (TNS) — Abraham Tinajero was an eighth grader when he saw a poster in his Longmont middle school’s library advertising a new program offering free college with a technology focus.

Interested, he talked to a counselor to learn more about P-TECH, an early college program where he could earn an associate’s degree along with his high school diploma. Liking the sound of the program, he enrolled in the inaugural P-TECH class as a freshman at Longmont’s Skyline High School.

“I really loved working on computers, even before P-TECH,” he said. “I was a hobbyist. P-TECH gave me a pathway.”

He worked with an IBM mentor and interned at the company for six weeks as a junior. After graduating in 2020 with his high school diploma and the promised associate’s degree in computer science from Front Range Community College, he was accepted to IBM’s yearlong, paid apprenticeship program.

IBM hired him as a cybersecurity analyst once he completed the apprenticeship.

“P-TECH has given me a great advantage,” he said. “Without it, I would have been questioning whether to go into college. Having a college degree at 18 is great to put on a resume.”

Stanley Litow, a former vice president of IBM, developed the P-TECH, or Pathways in Technology Early College High Schools, model. The first P-TECH school opened 11 years ago in Brooklyn, New York, in partnership with IBM.

Litow’s idea was to get more underrepresented young people into tech careers by giving them a direct path to college while in high school — and in turn create a pipeline of employees with the job skills businesses were starting to value over four-year college degrees.

The program, which includes mentors and internships provided by business partners, gives high school students up to six years to earn an associate's degree at no cost.


In Colorado, St. Vrain Valley was among the first school districts chosen by the state to offer a P-TECH program after the Legislature passed a bill to provide funding — and the school district has embraced the program.

Colorado’s first P-TECH programs started in the fall of 2016 at three high schools, including Skyline High. Over the last six years, 17 more Colorado high schools have adopted P-TECH, for at total of 20. Three of those are in St. Vrain Valley, with a fourth planned to open in the fall of 2023 at Longmont High School.

Each St. Vrain Valley high school offers a different focus supported by different industry partners.

Skyline partners with IBM, with students earning an associate’s degree in Computer Information Systems from Front Range. Along with being the first, Skyline’s program is the largest, enrolling up to 55 new freshmen each year.

Programs at the other schools are capped at 35 students per grade.

Frederick High’s program, which started in the fall of 2019, has a bioscience focus, partners with Aims Community College and works with industry partners Agilent Technologies, Tolmar, KBI Biopharma, AGC Biologics and Corden Pharma.

Silver Creek High’s program started a year ago with a cybersecurity focus. The Longmont school partners with Front Range and works with industry partners Seagate, Cisco, PEAK Resources and Comcast.

The new program coming to Longmont High will focus on business.

District leaders point to Skyline High’s graduation statistics to illustrate the program’s success. At Skyline, 100 percent of students in the first three P-TECH graduating classes earned a high school diploma in four years.

For the 2020 Skyline P-TECH graduates, 24 of the 33, or about 70 percent, also earned associate’s degrees. For the 2021 graduating class, 30 of the 47 have associate’s degrees — with one year left for those students to complete the college requirements.

For the most exact 2022 graduates, who have two years left to complete the college requirements, 19 of 59 have associate’s degrees and another six are on track to earn their degrees by the end of the summer.


Louise March, Skyline High’s P-TECH counselor, keeps in touch with the graduates, saying 27 are working part time or full time at IBM. About a third are continuing their education at a four year college. Of the 19 who graduated in 2022 with an associate’s degree, 17 are enrolling at a four year college, she said.

Two of those 2022 graduates are Anahi Sarmiento, who is headed to the University of Colorado Boulder’s Leeds School of Business, and Jose Ivarra, who will study computer science at Colorado State University.

“I’m the oldest out of three siblings,” Ivarra said. “When you hear that someone wants to provide you free college in high school, you take it. I jumped at the opportunity.”

Sarmiento added that her parents, who are immigrants, are already working two jobs and don’t have extra money for college costs.

“P-TECH is pushing me forward,” she said. “I know my parents want me to have a better life, but I want them to have a better life, too. Going into high school, I kept that mentality that I would push myself to my full potential. It kept me motivated.”

While the program requires hard work, the two graduates said, they still enjoyed high school and had outside interests. Ivarra was a varsity football player who was named player of the year. Sarmiento took advantage of multiple opportunities, from helping elementary students learn robotics to working at the district’s Innovation Center.

Ivarra said he likes that P-TECH has the same high expectations for all students, no matter their backgrounds, and gives them support in any areas where they need help. Spanish is his first language and, while math came naturally, language arts was more challenging.

“It was tough for me to see all these classmates use all these big words, and I didn’t know them,” he said. “I just felt less. When I went into P-TECH, the teachers focus on you so much, checking on every single student.”

They said it’s OK to struggle or even fail. Ivarra said he failed a tough class during the pandemic, but was able to retake it and passed. Both credited March, their counselor, with providing unending support as they navigated high school and college classes.

“She’s always there for you,” Sarmiento said. “It’s hard to be on top of everything. You have someone to go to.”

Students also supported each other.

“You build bonds,” Ivarra said. “You’re all trying to figure out these classes. You grow together. It’s a bunch of people who want to succeed. The people that surround you in P-TECH, they push you to be better.”


P-TECH has no entrance requirements or prerequisite classes. You don’t need to be a top student, have taken advanced math or have a background in technology.

With students starting the rigorous program with a wide range of skills, teachers and counselors said, they quickly figured out the program needed stronger support systems.

March said freshmen in the first P-TECH class struggled that first semester, prompting the creation of a guided study class. The every other day, hour-and-a-half class includes both study time and time to learn workplace skills, including writing a resume and interviewing. Teachers also offer tutoring twice a week after school.

“The guided study has become crucial to the success of the program,” March said.

Another way P-TECH provides extra support is through summer orientation programs for incoming freshmen.

At Skyline, ninth graders take a three-week bridge class — worth half a credit — that includes learning good study habits. They also meet IBM mentors and take a field trip to Front Range Community College.

“They get their college ID before they get their high school ID,” March said.

During a session in June, 15 IBM mentors helped the students program a Sphero robot to travel along different track configurations. Kathleen Schuster, who has volunteered as an IBM mentor since the P-TECH program started here, said she wants to “return some of the favors I got when I was younger.”

“Even this play stuff with the Spheros, it’s teaching them teamwork and a little computing,” she said. “Hopefully, through P-TECH, they will learn what it takes to work in a tech job.”

Incoming Skyline freshman Blake Baker said he found a passion for programming at Trail Ridge Middle and saw P-TECH as a way to capitalize on that passion.

“I really love that they provide you options and a path,” he said.

Trail Ridge classmate Itzel Pereyra, another programming enthusiast, heard about P-TECH from her older brother.

“It’s really good for my future,” she said. “It’s an exciting moment, starting the program. It will just help you with everything.”

While some of the incoming ninth graders shared dreams of technology careers, others see P-TECH as a good foundation to pursue other dreams.

Skyline incoming ninth grader Marisol Sanchez wants to become a traveling nurse, demonstrating technology and new skills to other nurses. She added that the summer orientation sessions are a good introduction, helping calm the nerves that accompany combining high school and college.

“There’s a lot of team building,” she said. “It’s getting us all stronger together as a group and introducing everyone.”


Silver Creek’s June camp for incoming ninth graders included field trips to visit Cisco, Seagate, PEAK Resources, Comcast and Front Range Community College.

During the Front Range Community College field trip, the students heard from Front Range staff members before going on a scavenger hunt. Groups took photos to prove they completed tasks, snapping pictures of ceramic pieces near the art rooms, the most expensive tech product for sale in the bookstore and administrative offices across the street from the main building.

Emma Horton, an incoming freshman, took a cybersecurity class as a Flagstaff Academy eighth grader that hooked her on the idea of technology as a career.

“I’m really excited about the experience I will be getting in P-TECH,’ she said. “I’ve never been super motivated in school, but with something I’m really interested in, it becomes easier.”

Deb Craven, dean of instruction at Front Range’s Boulder County campus, promised the Silver Creek students that the college would support them. She also gave them some advice.

“You need to advocate and ask for help,” she said. “These two things are going to help you the most. Be present, be engaged, work together and lean on each other.”

Craven, who oversees Front Range’s P-TECH program partnership, said Front Range leaders toured the original P-TECH program in New York along with St. Vrain and IBM leaders in preparation for bringing P-TECH here.

“Having IBM as a partner as we started the program was really helpful,” she said.

When the program began, she said, freshmen took a more advanced technology class as their first college class. Now, she said, they start with a more fundamental class in the spring of their freshman year, learning how to build a computer.

“These guys have a chance to grow into the high school environment before we stick them in a college class,” she said.

Summer opportunities aren’t just for P-TECH’s freshmen. Along with summer internships, the schools and community colleges offer summer classes.

Silver Creek incoming 10th graders, for example, could take a personal financial literacy class at Silver Creek in the mornings and an introduction to cybersecurity class at the Innovation Center in the afternoons in June.

Over at Skyline, incoming 10th graders in P-TECH are getting paid to teach STEM lessons to elementary students while earning high school credit. Students in the fifth or sixth year of the program also had the option of taking computer science and algebra classes at Front Range.


And at Frederick, incoming juniors are taking an introduction to manufacturing class at the district's Career Elevation and Technology Center this month in preparation for an advanced manufacturing class they’re taking in the fall.

“This will provide them a head start for the fall,” said instructor Chester Clark.

Incoming Frederick junior Destini Johnson said she’s not sure what she wants to do after high school, but believes the opportunities offered by P-TECH will prepare her for the future.

“I wanted to try something challenging, and getting a head start on college can only help,” she said. “It’s really incredible that I’m already halfway done with an associate’s degree and high school.”

IBM P-TECH program manager Tracy Knick, who has worked with the Skyline High program for three years, said it takes a strong commitment from all the partners — the school district, IBM and Front Range — to make the program work.

“It’s not an easy model,” she said. “When you say there are no entrance requirements, we all have to be OK with that and support the students to be successful.”

IBM hosted 60 St. Vrain interns this summer, while two Skyline students work as IBM “co-ops” — a national program — to assist with the P-TECH program.

The company hosts two to four formal events for the students each year to work on professional and technical skills, while IBM mentors provide tutoring in algebra. During the pandemic, IBM also paid for subscriptions to so students could get immediate help while taking online classes.

“We want to get them truly workforce ready,” Knick said. “They’re not IBM-only skills we’re teaching. Even though they choose a pathway, they can really do anything.”

As the program continues to expand in the district, she said, her wish is for more businesses to recognize the value of P-TECH.

“These students have had intensive training on professional skills,” she said. “They have taken college classes enhanced with the same digital credentials that an IBM employee can learn. There should be a waiting list of employers for these really talented and skilled young professionals.”

©2022 the Daily Camera (Boulder, Colo.). Distributed by Tribune Content Agency, LLC.

Thu, 04 Aug 2022 02:41:00 -0500 en text/html
Killexams : IILM University signs MoU with IBM, illuminating students about new-age technologies and the exclusive IBM Digital Badge

Greater Noida : IILM University, Greater Noida, signed a Memorandum of Understanding (MoU) with IBM Innovation Centre for Education in August , 2022. The MoU was signed by Vice-Chancellor, IILM University, Dr. Taruna Gautam and Program Director, IBM Innovation Centre for Education, Mr. Vithal Madyalkar. Among those who attended the formal signing ceremony included Mr. R. Hari, IBM leader for Business Development & Academia relationships, Dr. Raveendranath Nayak, Director-IILM Graduate School of Management and Dr. Shilpy Agrawal, Head of Computer Science and Engineering Department, IILM University, Greater Noida.

Commenting over the collaboration between the two knowledge hubs, Dr. Taruna Gautam, Vice-Chancellor IILM University, Greater Noida, IILM University, said, “We are extremely excited about the new development as it aligns with our core aim to raise a race of competent professionals and make them future-ready. As part of the newly formed alliance, IBM would offer the university students much-needed applied IT knowledge, establishing a structured learning pathway. IBM’s Innovation Centre for Education Programs would impart students with information about the emerging technologies and in-demand industry domains like Cloud Computing and Virtualization, Data Sciences & Business Analytics, Graphics and Gaming Technology, Artificial Intelligence, Machine Learning, Blockchain, Cyber Security and Forensics, IT Infrastructure management, and Internet of Things.”

The students will also get a chance to enhance their skills pertaining to information technology required for operating different business domains such as Telecom informatics, Banking, Financial services and Insurance informatics, e-commerce & Retail Informatics, and Healthcare Informatics.

IBM Innovation Centre for Education offers various unique, time-tested initiatives and skills developed by IBM Trained & Certified faculty & Technology Experts. The in-depth and applied courseware powered by IBM will be exclusively available to the students at IILM University. The new progression is in line with the NEP 2020 norms, promoting the project and lab-based learning combined with Instructor-led classroom training.

The program will help students gain not only a competitive edge over others during interviews, internships as well as national and International contests, but also IBM’s globally-recognized Digital Badge, in addition to the degree offered by the University.

Mon, 08 Aug 2022 06:06:00 -0500 en-US text/html
Killexams : Welcome Our Robot Overlords: Why I Think AI Creative Apps Are About to Disrupt the Business of Content

Opinions expressed are solely those of the author and do not reflect the views of Rolling Stone editors or publishers.

I so perfectly recall the magical day I bought my first computer. I was about 13 years old and had scrimped and saved from my teenage moneymaking schemes to assemble a grand total of $115. At the local big box store, that would get me a Timex Sinclair 1000.

Now understand that I am a digital fossil, but if you’ll just imagine all of this through the early Eighties lens of a Stranger Things episode, it will start to come into focus. These were days when there wasn’t any dominant computer platform. Steve Jobs and Steve Wozniak were just coming out of the garage with the Apple 1. IBM earnestly presented its plain vanilla IBM 5150 (which we can only assume it didn’t realize was also the police Welfare and Institution Code). At the fringes were all kinds of nascent and primitive magical bits of kit from companies like Atari, Commodore and Sinclair. They were cheap, a bit brutalist and required a nerdy dedication to make work.

From the very first, I wanted one thing from my computer: I wanted a friend. I desperately wanted to teach that computer to talk to me. In an adolescence marked by movies like Wargames and episodes of Star Trek, I had developed a mind that wanted to see these dreams of a technological future come to life.

I wrote a conversation bot. I typed “Hello”and it responded, “Hi there, how are you?” Then, magic happened. It would look for words like “happy” or “sad” selections based on my 13-year-old responses and it would respond with “that’s great!” or “sorry to hear that!

The next summer I attended a weekend camp at MIT for kids and computers. Most of the kids wanted to create space games. But I was still chasing my talking computer friend — and I had ambitions beyond that. I wanted to teach my friend how to paint with pixels. If I could ever describe a scene from a movie to a computer, could it make the movie? The camp counselors at MIT, beleaguered undergrads making some financial aid money, weren’t going to get me there. Space warfare it was.

Flash Forward

Last January, I got a message from a friend. He had found a pulsing little community of code freaks who were using machine learning apps to make pictures based on a description or prompt. He sent me a few pictures. My mind was blown. They were amazing. Some were painterly, delicate brushstrokes and surprising compositions that seemed to be the undiscovered work of masters. Others were photographic, high-resolution images of strange characters or steampunk jewelry, with a deep and luscious depth of field.

Then began a month of sleep deprivation and family abandonment. I could do nothing beyond experimenting with this incredible new image creating “friend.” I tried feeding it fragments of poetry and song, which led to the creation of images I could never imagine but which were spot-on visual representations of narrative. I probed further — what happened if I wanted to create 25 variations of a logo or sample renderings of architectural space by Zaha Hadid? The results kept amazing me. Unexpected results would often bubble up, ranging from hilarious misunderstandings to strange interpretations — or just wrong guesses. But sometimes they were creative leaps that I hadn’t ever thought of.

The Rolling Stone Culture Council is an invitation-only community for Influencers, Innovators and Creatives. Do I qualify?

How did all of this work? One thing to understand is that it’s not creative intelligence. This is pattern matching, or maybe more appropriately pattern finding. These code engines have been exposed to massive datasets: famous art, artists, design movements, contemporary culture, architectural styles, historical events, and consumer information. The more the code can be exposed to and cataloged, the more raw materials it has. In most cases, it starts with visual noise: foggy static that the code chips away at like a sculptor, creating composition, shape and points of view. Then within it, based on the user input, the specifics of the image and style are revealed.

Similar tools abound: copywriting apps that could create blog posts, listicles and long-form writing; teaching apps that take a script and provide a virtual actor speaking and explaining it with convincing sincerity; musical scoring tools that translate a few twists of whimsical emotion and vibe knobs into complete pieces of a song.

So, for real, if you’re a graphic artist, a copywriter or a musician, is this robot coming for your job?

That’s a complicated question. The tech needs more development. Getting specific outcomes out of it isn’t always straightforward. But the quality of the output is impressive. The rate of advancement is a bit blinding. The big purveyors of creative toolsets are already moving fast to deploy this functionality. From word processors to photo retouching to film and game development software, I believe we are about to see an ability to promote the computer from tool to collaborator.

At that point, it does seem inevitable that what humans work on and what computers do will change. Concept art, project treatments, outlines, drafts, social media copy, thumbnail graphic creation, mood boards and elements of game-level design — these are already starting to be tasks that are being taken on by AI.

Humans still need to do the describing. While I think the computers will get there too, in their own way, I am still a believer in something ineffable in the human soul. Maybe because we are a crazy soup of evolution and weird world views, there is poetry, song, beats and ideas that silicon can’t quite get because being messed up in that tragically human kind of way is actually maybe the secret sauce.

In the meantime, I am joyfully playing with my creative robot “friends.” Maybe later on, when they are in charge, they will still come around and make time to play with me.

Mon, 08 Aug 2022 08:30:00 -0500 en-US text/html
Killexams : AI In Education Market Is Expected to Boom- Amazon Web Services, Inc., IBM Corporation

New Jersey, N.J., July 13, 2022 The AI In Education Market research report provides all the information related to the industry. It gives the outlook of the market by giving authentic data to its client which helps to make essential decisions. It gives an overview of the market which includes its definition, applications and developments, and manufacturing technology. This AI In Education market research report tracks all the exact developments and innovations in the market. It gives the data regarding the obstacles while establishing the business and guides to overcome the upcoming challenges and obstacles.

AI provides the ability to have 24-hour access to teachers and lessons anytime, anywhere. AI can be used as an educational tool that guides students towards their goals by providing personalized feedback on assignments, quizzes, etc. based on AI algorithms.

The industrys growth is likely to be fueled by increasing investments in AI technology. Leaders in the digital economy and tech behemoths like Google, Amazon, and Apple are driving investments in the technology. They are collectively pouring billions of dollars into a diverse range of artificial intelligence (AI) applications, from robotics to machine learning, virtual assistance, autonomous vehicles, and computer vision to natural language processing.

Get the PDF sample Copy (Including FULL TOC, Graphs, and Tables) of this report @:

Competitive landscape:

This AI In Education research report throws light on the major market players thriving in the market; it tracks their business strategies, financial status, and upcoming products.

Some of the Top companies Influencing this Market include:Amazon Web Services, Inc., IBM Corporation, Microsoft Corporation, Cognizant, Google LLC, Pearson Plc, BridgeU, DreamBox Learning, Inc., Carnegie Learning, Inc., Nuance Communications, Inc., Blackboard Inc.

Market Scenario:

Firstly, this AI In Education research report introduces the market by providing an overview which includes definition, applications, product launches, developments, challenges, and regions. The market is forecasted to reveal strong development by driven consumption in various markets. An analysis of the current market designs and other basic characteristics is provided in the AI In Education report.

Regional Coverage:

The region-wise coverage of the market is mentioned in the report, mainly focusing on the regions:

  • North America
  • South America
  • Asia and Pacific region
  • Middle East and Africa
  • Europe

Segmentation Analysis of the market

The market is segmented on the basis of the type, product, end users, raw materials, etc. the segmentation helps to deliver a precise explanation of the market

Market Segmentation: By Type



Market Segmentation: By Application

Learning Platform & Virtual Facilitators

Intelligent Tutoring System (ITS)

Smart content

Fraud and Risk Management


For Any Query or Customization:

An assessment of the market attractiveness with regard to the competition that new players and products are likely to present to older ones has been provided in the publication. The research report also mentions the innovations, new developments, marketing strategies, branding techniques, and products of the key participants present in the global AI In Education market. To present a clear vision of the market the competitive landscape has been thoroughly analyzed utilizing the value chain analysis. The opportunities and threats present in the future for the key market players have also been emphasized in the publication.

This report aims to provide:

  • A qualitative and quantitative analysis of the current trends, dynamics, and estimations from 2022 to 2029.
  • The analysis tools such as SWOT analysis, and Porter’s five force analysis are utilized which explain the potency of the buyers and suppliers to make profit-oriented decisions and strengthen their business.
  • The in-depth analysis of the market segmentation helps to identify the prevailing market opportunities.
  • In the end, this AI In Education report helps to save you time and money by delivering unbiased information under one roof.

Table of Contents

Global AI In Education Market Research Report 2022 – 2029

Chapter 1 AI In Education Market Overview

Chapter 2 Global Economic Impact on Industry

Chapter 3 Global Market Competition by Manufacturers

Chapter 4 Global Production, Revenue (Value) by Region

Chapter 5 Global Supply (Production), Consumption, Export, Import by Regions

Chapter 6 Global Production, Revenue (Value), Price Trend by Type

Chapter 7 Global Market Analysis by Application

Chapter 8 Manufacturing Cost Analysis

Chapter 9 Industrial Chain, Sourcing Strategy and Downstream Buyers

Chapter 10 Marketing Strategy Analysis, Distributors/Traders

Chapter 11 Market Effect Factors Analysis

Chapter 12 Global AI In Education Market Forecast

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Wed, 13 Jul 2022 01:13:00 -0500 A2Z Market Research en-US text/html
Killexams : Average Data Breach Costs Hit a Record $4.4 Million, Report Says

What's happening

The average cost of a data breach rose to $4.4 million this year, according to a new report from IBM Security.

Why it matters

More than half of the companies surveyed for the report admitted to passing on those higher costs to customers in the form of higher prices.

Data breach costs keep going up, and consumers are likely paying for them.

The average cost of a data breach rose to an all-time high of $4.4 million this year, according to the IBM Security report released Wednesday. That marked a 2.6% increase from a year ago and a 13% jump since 2020.

More than half of the organizations surveyed acknowledged they had passed on those costs to their customers in the form of higher prices for their products and services, IBM said.

The annual report is based on an analysis of data breaches experienced by 550 organizations around the world between March 2021 and March 2022. The research, which was sponsored and analyzed by IBM, was conducted by the Ponemon Institute.

The cost estimates are based on both immediate and longer-term expenses. While some costs like the payment of ransoms and those related to investigating and containing the breach tend to be accounted for right away, others such as regulatory fines and lost sales can show up years later. On average, those polled said they accrued just under half of the costs related to a given breach more than a year after it occurred. 

Case in point, T-Mobile said Friday it would pay $500 million to settle a class action lawsuit filed by customers over a data breach revealed nearly a year ago that exposed the personal information of an estimated 76.6 million people.

Pending judicial approval that could come before the end of the year, T-Mobile will pay $350 million to settle the customers' claims and an additional $150 million to upgrade its data protection. The breach, disclosed in August, exposed information such as customer names, Social Security numbers, phone numbers, addresses and dates of birth.

Many of the highest-cost breaches analyzed in the IBM study involved critical infrastructure within the financial services, industrial, technology, energy, transportation, communication, healthcare, education and public-sector industries.

Those breaches had an average cost of $4.8 million, about $1 million more than the average cost paid by organizations outside of critical infrastructure, IBM said.

Part of that stems from the particularly high costs of health care industry breaches. Healthcare, which is considered to be critical infrastructure, had the highest average per-breach cost of $10.1 million, up from $9.2 million in 2021. 

Critical infrastructure has become an increasingly tempting target for both nation-state attackers and cybercrime gangs in exact years. Last year, ransomware attacks against Colonial Pipeline and meat processor JBS USA shut down both companies for days, even though they both paid the equivalent of millions of dollars in ransom to get their data unlocked. 

The shutdowns sparked panic buying among consumers, causing both gasoline and meat prices to spike in parts of the US.

Cybersecurity and government officials also warn that the risk of cyber attacks against critical infrastructure in the US and other countries supporting Ukraine could increase if Russia's war against that country continues to drag on.

Eleven percent of the data breaches analyzed in this year's study stemmed from ransomware attacks, up from 7.8% in 2021. Almost a fifth of the breaches were the result of stolen or compromised credentials. Another 16% stemmed from phishing attacks.

Tue, 26 Jul 2022 16:02:00 -0500 See full bio en text/html
Killexams : SVVSD embraces early college P-TECH program No result found, try new keyword!In Colorado, St. Vrain Valley was among the first school districts chosen by the state to offer a P-TECH program after the Legislature passed a bill to provide funding — and the school ... Sat, 30 Jul 2022 15:39:40 -0500 en-us text/html Killexams : Alexa and Siri, listen up! Research team is teaching machines to really hear us

University of Virginia cognitive scientist Per Sederberg has a fun experiment you can try at home. Take out your smartphone and, using a voice assistant such as the one for Google's search engine, say the word "octopus" as slowly as you can.

Your device will struggle to reiterate what you just said. It might supply a nonsensical response, or it might provide you something close but still off—like "toe pus." Gross!

The point is, Sederberg said, when it comes to receiving auditory signals like humans and other animals do—despite all of the computing power dedicated to the task by such heavyweights as Google, Deep Mind, IBM and Microsoft—current artificial intelligence remains a bit hard of hearing.

The outcomes can range from comical and mildly frustrating to downright alienating for those who have .

But using exact breakthroughs in neuroscience as a model, UVA collaborative research has made it possible to convert existing AI into technology that can truly hear us, no matter at what pace we speak.

The deep learning tool is called SITHCon, and by generalizing input, it can understand words spoken at different speeds than a network was trained on.

This new ability won't just change the end-user's experience; it has the potential to alter how artificial neural networks "think"—allowing them to process information more efficiently. And that could change everything in an industry constantly looking to boost processing capability, minimize and reduce AI's massive carbon footprint.

Sederberg, an associate professor of psychology who serves as the director of the Cognitive Science Program at UVA, collaborated with graduate student Brandon Jacques to program a working demo of the technology, in association with researchers at Boston University and Indiana University.

"We've demonstrated that we can decode speech, in particular scaled speech, better than any model we know of," said Jacques, who is first author on the paper.

Sederberg added, "We kind of view ourselves as a ragtag band of misfits. We solved this problem that the big crews at Google and Deep Mind and Apple didn't."

The research was presented Tuesday at the high-profile International Conference on Machine Learning, or ICML, in Baltimore.

Current AI training: Auditory overload

For decades, but more so in the last 20 years, companies have built complex artificial neural networks into machines to try to mimic how the recognizes a changing world. These programs don't just facilitate basic information retrieval and consumerism; they also specialize to predict the stock market, diagnose medical conditions and surveil for national security threats, among many other applications.

"At its core, we are trying to detect meaningful patterns in the world around us," Sederberg said. "Those patterns will help us make decisions on how to behave and how to align ourselves with our environment, so we can get as many rewards as possible."

Programmers used the brain as their initial inspiration for the technology, thus the name "neural networks."

"Early AI researchers took the basic properties of neurons and how they're connected to one another and recreated those with ," Sederberg said.

For complex problems like teaching machines to "hear" language, however, programmers unwittingly took a different path than how the brain actually works, he said. They failed to pivot based on developments in the understanding of neuroscience.

"The way these large companies deal with the problem is to throw computational resources at it," the professor explained. "So they make the neural networks bigger. A field that was originally inspired by the brain has turned into an engineering problem."

Essentially, programmers input a multitude of different voices using different words at different speeds and train the large networks through a process called back propagation. The programmers know the responses they want to achieve, so they keep feeding the continuously refined information back in a loop. The AI then begins to provide appropriate weight to aspects of the input that will result in accurate responses. The sounds become usable characters of text.

"You do this many millions of times," Sederberg said.

While the training data sets that serve as the inputs have improved, as have computational speeds, the process is still less than ideal as programmers add more layers to detect greater nuances and complexity—so-called "deep" or "convolutional" learning.

More than 7,000 languages are spoken in the world today. Variations arise with accents and dialects, deeper or higher voices—and of course faster or slower speech. As competitors create better products, at every step, a computer has to process the information.

That has real-world consequences for the environment. In 2019, a study found that the carbon dioxide emissions from the energy required in the training of a single large deep-learning model equated to the lifetime footprint of five cars.

Three years later, the data sets and neural networks have only continued to grow.

How the brain really hears speech

The late Howard Eichenbaum of Boston University coined the term "time cells," the phenomenon upon which this new AI research is constructed. Neuroscientists studying time cells in mice, and then humans, demonstrated that there are spikes in neural activity when the brain interprets time-based input, such as sound. Residing in the hippocampus and other parts of the brain, these individual neurons capture specific intervals—data points that the brain reviews and interprets in relationship. The cells reside alongside so-called "place cells" that help us form mental maps.

Time cells help the brain create a unified understanding of sound, no matter how fast or slow the information arrives.

"If I say 'oooooooc-toooooo-pussssssss,' you've probably never heard someone say 'octopus' at that speed before, and yet you can understand it because the way your brain is processing that information is called 'scale invariant,'" Sederberg said. "What it basically means is if you've heard that and learned to decode that information at one scale, if that information now comes in a little faster or a little slower, or even a lot slower, you'll still get it."

The main exception to the rule, he said, is information that comes in hyper-fast. That data will not always translate. "You lose bits of information," he said.

Cognitive researcher Marc Howard's lab at Boston University continues to build on the time cell discovery. A collaborator with Sederberg for over 20 years, Howard studies how human beings understand the events of their lives. He then converts that understanding to math.

Howard's equation describing auditory memory involves a timeline. The timeline is built using time cells firing in sequence. Critically, the equation predict that the timeline blurs—and in a particular way—as sound moves toward the past. That's because the brain's memory of an event grows less precise with time.

"So there's a specific pattern of firing that codes for what happened for a specific time in the past, and information gets fuzzier and fuzzier the farther in the past it goes," Sederberg said. "The cool thing is Marc and a post-doc going through Marc's lab figured out mathematically how this should look. Then neuroscientists started finding evidence for it in the brain."

Time adds context to sounds, and that's part of what gives what's spoken to us meaning. Howard said the math neatly boils down.

"Time cells in the brain seem to obey that equation," Howard said.

UVA codes the voice decoder

About five years ago, Sederberg and Howard identified that the AI field could benefit from such representations inspired by the brain. Working with Howard's lab and in consultation with Zoran Tiganj and colleagues at Indiana University, Sederberg's Computational Memory Lab began building and testing models.

Jacques made the big breakthrough about three years ago that helped him do the coding for the resulting proof of concept. The algorithm features a form of compression that can be unpacked as needed—much the way a zip file on a computer works to compress and store large-size files. The machine only stores the "memory" of a sound at a resolution that will be useful later, saving storage space.

"Because the information is logarithmically compressed, it doesn't completely change the pattern when the input is scaled, it just shifts over," Sederberg said.

The AI training for SITHCon was compared to a pre-existing resource available free to researchers called a "temporal convolutional network." The goal was to convert the network from one trained only to hear at specific speeds.

The process started with a basic language—Morse code, which uses long and short bursts of sound to represent dots and dashes—and progressed to an open-source set of English speakers saying the numbers 1 through 9 for the input.

In the end, no further training was needed. Once the AI recognized the communication at one speed, it couldn't be fooled if a speaker strung out the words.

"We showed that SITHCon could generalize to speech scaled up or down in speed, whereas other models failed to decode information at speeds they didn't see at training," Jacques said.

Now UVA has decided to make its code available for free, in order to advance the knowledge. The team says the information should adapt for any neural network that translates voice.

"We're going to publish and release all the code because we believe in open science," Sederberg said. "The hope is that companies will see this, get really excited and say they would like to fund our continuing work. We've tapped into a fundamental way the brain processes information, combining power and efficiency, and we've only scratched the surface of what these AI models can do."

But knowing that they've built a better mousetrap, are the researchers thinking at all about how the new technology might be used?

Sederberg said he's optimistic that AI that hears better will be approached ethically, as all technology should be in theory.

"Right now, these companies have been running into computational bottlenecks while trying to build more powerful and useful tools," he said. "You have to hope the positives outweigh the negatives. If you can offload more of your thought processes to computers, it will make us a more productive world, for better or for worse."

Jacques, a new father, said, "It's exciting to think our work may be giving birth to a new direction in AI."

Citation: Alexa and Siri, listen up! Research team is teaching machines to really hear us (2022, July 20) retrieved 9 August 2022 from

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Wed, 20 Jul 2022 05:54:00 -0500 en text/html
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