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  1. Yet another Google AI leader has defected to Apple He will work under John Giannandrea, who also left Google for Apple. Enlarge / AI researcher Samy Bengio (left) poses with his brother Yoshua Bengio (right) for a photo tied to a report from cloud-platform company Paperspace on the future of AI. Paperspace Apple has hired Samy Bengio, a prominent AI researcher who previously worked at Google. Bengio will lead "a new AI research unit" within Apple, according to a recent report in Reuters. He is just the latest i
  2. The Foundations of AI Are Riddled With Errors The labels attached to images used to train machine-vision systems are often wrong. That could mean bad decisions by self-driving cars and medical algorithms. Photograph: Julian Stratenschulte/Getty Images The current boom in artificial intelligence can be traced back to 2012 and a breakthrough during a competition built around ImageNet, a set of 14 million labeled images. In the competition,
  3. This article will introduce two interesting websites. The first is a technique that uses AI to turn simple strokes into colorful images, like the one shown below. Were you surprised?Yes, it's just that powerful.A number of different sample graphics have been added to the site, as shown above.There is an edit option under each of the sample graphics (I missed this option when I shot it) that we can edit ourselves to get our own images.We can even try coloring in some shapes!However, it takes a long time for the world to download the output image after we've edited it.The Web
  4. ENISA Highlights AI Security Risks for Autonomous Cars Automakers Should Employ Security-By-Design to Thwart Cyber Risks Localization of vehicle sensors and their main uses. Source: ENISA Autonomous vehicle manufacturers are advised to adopt security-by-design models to mitigate cybersecurity risks, as artificial intelligence is susceptible to evasion and poisoning attacks, says a new ENISA report. The study from the European Union Agency for Cybersecurity and the European Commission's Joint Research Centre warns that autonomous cars are susceptib
  5. Researchers are working on a chess-playing AI that emulates human-level skill Maia doesn't try to make the perfect moves In brief: AI has been kicking our collective butt in just about every classic board game imaginable for many years now. That's no surprise, though -- when you tell an AI to learn from the best with no checks or balances, that's precisely what it will do. Now, though, researchers are looking for a way to handicap Chess-playing AI and teach a new model to make more human-like decisions. This is certainly a novel concept: again, most ch
  6. Karlston

    Why AI is so power-hungry

    Why AI is so power-hungry It takes a lot of energy for machines to be trained with data sets. Enlarge pitju / Adobe Stock 70 with 31 posters participating This month, Google forced out a prominent AI ethics researcher after she voiced frustration with the company for making her withdraw a research paper. The paper pointed out the risks of language-processing artificial intelligence, the type used in Google Search and other text analysis products. Among the risks is the large carbon foo
  7. DeepMind's MuZero conquers and learns the rules as it does Albert Einstein once said, "You have to learn the rules of the game, and then you have to play better than anyone else." That could well be the motto at DeepMind, as a new report reveals it has developed a program that can master complex games without even knowing the rules. DeepMind, a subsidiary of Alphabet, has previously made groundbreaking strides using reinforcement learning to teach programs to master the Chinese board game Go and the Japanese strategy game Shogi, as well as chess and challen
  8. JERUSALEM (Reuters) - Intel Corp’s Habana Labs business said on Wednesday it would take time to gain market share from Nvidia in cloud and data centre computing but its deal this week with Amazon Web Services (AWS) was a solid first step. Intel in December bought Israel-based artificial intelligence firm Habana for about $2 billion, seeking to expand its AI portfolio to bolster its data-centre business. Habana’s Gaudi AI training processor, launched in June 2019, has faster processing speeds to compete with similar products from Intel rival Nvidia.
  9. DeepMind AI handles protein folding, which humbled previous software Google's AI specialists tackle biology's toughest computational problem. Enlarge / Proteins rapidly form complicated structures which had proven difficult to predict. Argonne National Lab / Flickr 68 with 47 posters participating Today, DeepMind announced that it has seemingly solved one of biology's outstanding problems: how the string of amino acids in a protein folds up into a three-dimensional shape that enables their complex functions. It's
  10. AI excels at interpreting high volume, high velocity, complex data – which is just the ticket here Computer scientists have long been interested in the human body's immune system. It fights off an incredible range of attacks spanning from the common cold to flu, measles, and worse. As companies face a rising tide of cyber attacks, a new approach to email defence developed by cybersecurity company Darktrace uses our own ability to fight off external threats and replicates this ‘immune system’ approach in the digital world. Just as human beings have a protect
  11. The battle of the algorithms has begun It was 2017 and a hacker had gained access to a digital system at an organization in India. At first it seemed like just a normal intrusion - the kind that happens thousands of times each day. But this one was different. When it examined the hacking incident, cybersecurity company Darktrace found that the attacker had analysed the organization’s digital behaviour so that they could mimic it to stay hidden. They hadn't done this manually - they'd used machine learning software to do it for them. Darktrace spotted the at
  12. Amazon today announced a new Alexa feature for U.S.-based English-language users that enables devices powered by the assistant to infer latent goals, or goals implicit in requests but not directly expressed. For instance, if a user says “How long does it take to steep tea?,” Alexa might follow up with “Five minutes is a good place to start” and the question “Would you like me to set a timer for five minutes?” According to Amazon, dialog transitions like these require a number of AI algorithms under the hood. A machine learning-based trigger model decides whether to ant
  13. 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
  14. 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
  15. 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
  16. 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
  17. 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
  18. 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
  19. 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
  20. 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
  21. 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
  22. 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
  23. 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
  24. 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
  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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