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  1. Microsoft develops new machine learning model to detect password spray attacks Over the past few weeks, Microsoft has been promoting digital security efforts as a part of its observance of the National Cyber Security Awareness Month (NCSAM) in October. It has announced new initiatives to promote cybersecurity awareness, unveiled Zero Trust Deployment Center, released an Adversarial ML Threat Matrix, and launched a fairly successful offensive against the malicious Trickbot botnet. Now the company has stated that it has developed a new machine learning-based algorithm
  2. Despite protests from its staff in the past leading to its pulling out from controversial US Government projects, Google has now made a deal for its artificial technology to be used by the Trump administration to fortify the US-Mexico border, The Intercept reports, based on documents obtained under a FOIA request. The website said the US Customs and Border Protection had decided to use Google Cloud technology in August and deploy it through the CBP Innovation Team which is working to devise a virtual wall that has both surveillance towers and dr
  3. Nvidia will build the 'world's fastest AI supercomputer' Cineca and Nvidia team up for a European Exascale supercomputer for AI (Image credit: Atos) Nvidia and Cineca, an Italian inter-university consortium and major supercomputing center, have announced plans to build ‘the world’s fastest AI supercomputer.’ The upcoming Leonardo system will use nearly 14,000 Nvidia A100 GPUs for a variety of high-performance computing tasks. The peak performance of the system is expected to hit 10 FP16 ExaFLOPS. The s
  4. The social network teams up with Carnegie Mellon University to find new ways to store and use renewable energy. Facebook has researchers who are trying to advance artificial intelligence through various projects. Facebook said Wednesday it will use artificial intelligence to help scientists find new ways to store and use renewable energy as part of project that could help combat climate change. The social network is partnering with Carnegie Mellon University to spur the use of solar and wind energy, which are cleaner than burning fossil fuels t
  5. If artificial intelligence will destroy humanity, it probably won’t be through killer robots and the incarnation—it will be through a thousand paper cuts. In the shadow of the immense benefits of advances in technology, the dark effects of AI algorithms are slowly creeping into different aspects of our lives, causing divide, unintentionally marginalizing groups of people, stealing our attention, and widening the gap between the wealthy and the poor. While we’re already seeing and discussing many of the negative aspects of AI, not enough is being done to address them. A
  6. The projects aim to build more inclusive datasets Microsoft has announced a series of new efforts to make AI systems more inclusive of people with disabilities. The initiatives aim to combat the so-called “data desert” that’s left machine learning algorithms without enough relevant training data to be effective for people with conditions such as ALS. One project, called Object Recognition for Blind Image Training (ORBIT), seeks to change this by building a new public dataset of videos submitted by people who are blind or have low vision. The dat
  7. Nvidia says its AI can fix some of the biggest problems in video calls Face alignment, noise reduction, and AI-powered superresolution Nvidia will use AI to make sure you’re always looking at your camera. Image: Nvidia Nvidia has announced a new videoconferencing platform for developers named Nvidia Maxine that it claims can fix some of the most common problems in video calls. Maxine will process calls in the cloud using Nvidia’s GPUs and boost call quality in a number of ways with the hel
  8. These Robots Use AI to Learn How to Clean Your House At Toyota, researchers are experimenting with prototypes that swoop from the ceiling to take care of chores with the help of machine learning. A Toyota robot suspended from the ceiling gets to work wiping a counter.Photograph: Toyota Research Institute Inside an ordinary-looking home, a robot suspended from the ceiling slowly expands arms holding a sponge, before carefully wiping a kitchen
  9. Google is bringing back human moderators to oversee YouTube content, taking over from automated systems that were given more responsibilities at the onset of the COVID-19 pandemic. YouTube revealed in late August that in the three months prior, 11.4 million videos have been removed from the platform for violating its Community Guidelines. This is the highest number of videos taken down from YouTube over a three-month period since the service was launched in 2005, and it was attributed to the higher reliance on A.I. as the pandemic prevented human reviewers from going t
  10. This tiny AI chip obliterates Google rival in a crucial metric Kneron’s KL720 outperforms Google’s Coral TPU by two times at half the power (Image credit: Kneron) Kneron, a startup from California, has introduced its new neural processing unit (NPU) for edge AI applications. The KL720 NPU promises to enable sophisticated AI-enhanced applications that do not use the cloud, so the chip has more compute horsepower onboard than competitors and consumes less power. Today, there are numerous cloud-enabled AI
  11. This Algorithm Doesn't Replace Doctors—It Makes Them Better An artificial intelligence system has outperformed physicians when detecting skin lesions. The results are changing how one school trains dermatologists. Illustration: Ariel Davis Dermatologist Harald Kittler draws on more than a decade of experience when he teaches students at the Medical University of Vienna how to diagnose skin lesions. His classes this fall will include a tip he
  12. A Council of Citizens Should Regulate Algorithms To ensure our AI-driven future is just and equitable, we should borrow from ancient Athens. Athens’ democracy reminds us that we have been outsourcing governance for two and a half millennia, first to kings, then to experts, and now to machines.Illustration: WIRED Staff; Getty Images Are machine-learning algorithms biased, wrong, and racist? Let citizens decide.
  13. Walmart Employees Are Out to Show Its Anti-Theft AI Doesn't Work The retailer denies there is any widespread issue with the software, but a group expressed frustration—and public health concerns. Illustration: Sam Whitney; Getty Images In January, my coworker received a peculiar email. The message, which she forwarded to me, was from a handful of corporate Walmart employees calling themselves the “Concerned Home Office Associates.” (Walmart’s headquarters in B
  14. Microsoft lays off journalists to replace them with AI Microsoft News and MSN is increasingly being run by robots Illustration by Alex Castro / The Verge Microsoft is laying off dozens of journalists and editorial workers at its Microsoft News and MSN organizations. The layoffs are part of a bigger push by Microsoft to rely on artificial intelligence to pick news and content that’s presented on MSN.com, inside Microsoft’s Edge browser, and in the company’s various Microsoft News apps. Many of the affected workers ar
  15. Good luck guys...here is the great news for IQ > Springer has released dozens books in: Computer Science Data Science Machine Learning domain AI ....and that for u too... for FR33. [Personally, I found the Ebook's collection very impressive and hope you also...] Site: https://pastebin.com Sharecode: /kivNFYRh 4ll 0f U5 4r3 b0T5 1N TH3 $1MUL4T10n
  16. After watching 50,000 hours of Pac-Man, Nvidia’s AI generated a playable clone Could a blurry, 128×128 version of a 1980 arcade game change the future of game dev? Enlarge / To rebuild Pac-Man, you must watch a lot of Pac-Man. Nvidia / Bandai-Namco 70 with 52 posters participating You may be familiar with the Infinite Monkey Theorem, an oft-cited (and often incorrectly quoted) claim that thousands of monkeys could bang on thousands of typewriters and eventually produce a work of art equivalent to William Shakespe
  17. Covid-19 Will Accelerate the AI Health Care Revolution Disease diagnosis, drug discovery, robot delivery—artificial intelligence is already powering change in the pandemic’s wake. That’s only the beginning. On New Year’s Eve of last year, the artificial intelligence platform BlueDot picked up an anomaly. It registered a cluster of unusual pneumonia cases in Wuhan, China. BlueDot, based in Toronto, Canada, uses natural language processing and machine learning to track, locate, and report on infectious disease spread. It sends ou
  18. AI-Powered Biotech Can Help Deploy a Vaccine In Record Time Simulators that can rapidly test trillions of options would accelerate the slow and costly process of human clinical trials. A human doctor may come up with a few dozen drugs that may treat a disease. The actual number of theoretical drug possibilities is in the trillions.Photograph: Justin Sullivan/Getty Images The magnitude of the Covid-19 pandemic will largely depend on how quickly safe and effect
  19. Amazon, Microsoft, and IBM are under pressure to follow Google and drop gender labels like 'man' and 'woman' from their AI Google's API no longer uses gendered labels for photos Microsoft, IBM, and Amazon are under pressure to stop using gender labels such as "man" or "woman" for their facial recognition and AI services. Google announced its AI tool would stop adding gender classification tags in mid-February, instead tagging images of people with neutral terms such as "person." Joy Buolamwini, a researcher who found AI tools misclassified people's gender,
  20. SAN FRANCISCO (Reuters) - Dozens of employers looking to hire the next generation of tech employees descended on the University of California, Berkeley in September to meet students at an electrical engineering and computer science career fair. Boris Yue, 20, was one of thousands of student attendees, threading his way among fellow job-seekers to meet recruiters. But Yue wasn’t worried about so much potential competition. While the job outlook for those with computer skills is generally good, Yue is in an even more rarified category: he is studying
  21. Most AI processing for mobile devices is currently handled by cloud servers, enabling companies such as Google and Amazon to monitor users’ requests as they come in. But privacy-focused Apple has been working on ways to build AI directly into its devices and has acquired a small company called Silk Labs to aid its efforts, the Information reports. Above: Silk Labs developed Sense, a unique-looking home monitoring camera, but cancelled it months after announcing it. Most AI processing for mobile devices is currently handled by cloud servers, enabling companie
  22. Artificial intelligence technology has the capability to be the most impactful software advance in history and the US government has no idea how to properly regulate it. The US does know that it doesn’t want other countries using its own AI against it. A new proposal published (Nov. 19) by the Department of Commerce (pdf) lists wide areas of AI software that could potentially require a license to sell to certain countries. These categories are as broad as “computer vision” and “natural language processing.” It also lists military-specific products like adaptive camoufl
  23. Banks and lenders that want to put more profitable ML models to work no longer have to be held back by concerns over ML’s lack of transparency. Today, ZestFinance announced a strategic collaboration with Microsoft to deploy Zest’s machine learning (ML) software tools directly on Microsoft Azure and Machine Learning Server platforms to deliver the first fully explainable AI for highly regulated industries, starting with the financial sector. Financial institutions will now be able to use Zest’s ZAML suite of tools to build, deploy, and monitor transparent ML credit models on Azure and Mach
  24. Today's AI is technically "weak"—but it's complex and can have a great societal impact. Enlarge / You don't have to be Keir Dullea to know that fully grasping artificial intelligence can be intimidating. George Rinhart/Corbis via Getty Images AI, or artificial intelligence, is huge right now. “Unsolvable” problems are being solved, billions of dollars are being invested, and Microsoft even hired Common to tell you how great its AI is with spoken wo
  25. Just wait until the algorithms can spot a guilty conscience A password for Netflix or HBO Go can be a precious thing that’s offered to a romantic partner or gifted from a family member (and saved for future use). But for UK company Synamedia, a password like that is a password to be hunted down. At CES this year, the firm unveiled a new service that uses machine learning to spot shared passwords. It works like this: a streaming service buys access to Synamedia’s platform, which analyzes data from all its users. It looks at a range of factors, like where an a
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