A group of scientists have built a neural network to sniff out any unusual nuclear activity. Researchers from the Pacific Northwest National Laboratory (PNNL), one of the United States Department of Energy national laboratories, decided to see if they could use deep learning to sort through the different nuclear decay events to identify any suspicious Read more about Skynet for the win? AI hunts down secret testing of nuclear bombs[…]

The AI, called Project Debater, appeared on stage in a packed conference room at IBM’s San Francisco office embodied in a 6ft tall black panel with a blue, animated “mouth”. It was a looming presence alongside the human debaters Noa Ovadia and Dan Zafrir, who stood behind a podium nearby. Although the machine stumbled at Read more about IBM AI Project Debater scores 1 – 1 vs man in 2 debates[…]

An artificially intelligent system has been demonstrated generating URLs for phishing websites that appear to evade detection by security tools. Essentially, the software can come up with URLs for webpages that masquerade as legit login pages for real websites, when in actual fact, the webpages simply collect the entered username and passwords to later hijack Read more about Here’s some phish-AI research: Machine-learning code crafts phishing URLs that dodge auto-detection[…]

Following an open selection process, the Commission has appointed 52 experts to a new High-Level Expert Group on Artificial Intelligence, comprising representatives from academia, civil society, as well as industry. The High-Level Expert Group on Artificial Intelligence (AI HLG) will have as a general objective to support the implementation of the European strategy on AI. Read more about EU sets up High-Level Group on Artificial Intelligence[…]

Researchers from NVIDIA developed a deep learning-based system that can produce high-quality slow-motion videos from a 30-frame-per-second video, outperforming various state-of-the-art methods that aim to do the same. The researchers will present their work at the annual Computer Vision and Pattern Recognition (CVPR) conference in Salt Lake City, Utah this week.  “There are many memorable Read more about Transforming Standard Video Into Slow Motion with AI[…]

A new piece of software has been trained to use wifi signals — which pass through walls, but bounce off living tissue — to monitor the movements, breathing, and heartbeats of humans on the other side of those walls. The researchers say this new tech’s promise lies in areas like remote healthcare, particularly elder care, Read more about A.I. Can Track Human Bodies Through Walls Now, With Just a Wifi Signal[…]

In these scenarios, a deep-learning machine is given the rules of the game and then plays against itself. Crucially, it is rewarded at each step according to how it performs. This reward process is hugely important because it helps the machine to distinguish good play from bad play. In other words, it helps the machine Read more about A machine has figured out Rubik’s Cube all by itself – using a reverse technique called autodictic iteration[…]

Video Machine-learning experts have built a neural network that can manipulate facial movements in videos to create fake footage – in which people appear to say something they never actually said. It could be used to create convincing yet faked announcements and confessions seemingly uttered by the rich and powerful as well as the average Read more about Uh oh! Here’s yet more AI that creates creepy fake talking heads[…]

Deep reinforcement learning methods traditionally struggle with tasks where environment rewards are particularly sparse. One successful method of guiding exploration in these domains is to imitate trajectories provided by a human demonstrator. However, these demonstrations are typically collected under artificial conditions, i.e. with access to the agent’s exact environment setup and the demonstrator’s action and Read more about AI learns to copy human gaming behaviour by watching Youtube[…]

or the first time, new research suggests artificial intelligence may be better than highly-trained humans at detecting skin cancer. A study conducted by an international team of researchers pitted experienced dermatologists against a machine learning system, known as a deep learning convolutional neural network, or CNN, to see which was more effective at detecting malignant Read more about AI better than dermatologists at detecting skin cancer, study finds[…]

Human footsteps can provide a unique behavioural pattern for robust biometric systems. We propose spatio-temporal footstep representations from floor-only sensor data in advanced computational models for automatic biometric verification. Our models deliver an artificial intelligence capable of effectively differentiating the fine-grained variability of footsteps between legitimate users (clients) and impostor users of the biometric system. Read more about AI can tell who you are by your gait using only floor sensors[…]

In a field of sugar beet in Switzerland, a solar-powered robot that looks like a table on wheels scans the rows of crops with its camera, identifies weeds and zaps them with jets of blue liquid from its mechanical tentacles. Undergoing final tests before the liquid is replaced with weedkiller, the Swiss robot is one Read more about Robots fight weeds in challenge to agrochemical giants[…]

Computer vision has advanced significantly that many discriminative approaches such as object recognition are now widely used in real applications. We present another exciting development that utilizes generative models for the mass customization of medical products such as dental crowns. In the dental industry, it takes a technician years of training to design synthetic crowns Read more about Using generative models to make dental crowns better than humans can[…]

Joint Concept Note (JCN) 1/18, Human-Machine Teaming articulates the challenges and opportunities that robotic and artificial intelligence (AI) technologies offer, and identifies how we achieve military advantage through human-machine teams. Its purpose is to guide coherent future force development and help frame defence strategy and policy. The JCN examines: economic and technological trends and the Read more about Human-Machine Teaming Joint Concept Note by UK MoD[…]

As part of the MOD’s commitment to pursue and deliver future capabilities, the Defence Secretary announced the launch of AI Lab – a single flagship for Artificial Intelligence, machine learning and data science in defence based at Dstl in Porton Down. AI Lab will enhance and accelerate the UK’s world-class capability in the application of Read more about Flagship AI Lab announced as Defence Secretary hosts first meet between British and American defence innovators[…]

A team of computer scientists have built the smallest completely autonomous nano-drone that can control itself without the need for a human guidance. Although computer vision has improved rapidly thanks to machine learning and AI, it remains difficult to deploy algorithms on devices like drones due to memory, bandwidth and power constraints. But researchers from Read more about Boffins build smallest drone to fly itself with AI[…]

Now that DeepMind has solved Go, the company is applying DeepMind to navigation. Navigation relies on knowing where you are in space relative to your surroundings and continually updating that knowledge as you move. DeepMind scientists trained neural networks to navigate like this in a square arena, mimicking the paths that foraging rats took as Read more about AI trained to navigate develops brain-like location tracking[…]

Ultimately, AI systems are only useful and safe as long as the goals they’ve learned actually mesh with what humans want them to do, and it can often be hard to know if they’ve subtly learned to solve the wrong problems or make bad decisions in certain conditions. To make AI easier for humans to Read more about Why Scientists Think AI Systems Should Debate Each Other[…]

Researchers at Endgame, a cyber-security biz based in Virginia, have published what they believe is the first large open-source dataset for machine learning malware detection known as EMBER. EMBER contains metadata describing 1.1 million Windows portable executable files: 900,000 training samples evenly split into malicious, benign, and unlabeled categories and 200,000 files of test samples Read more about Infosec brainiacs release public dataset to classify new malware using AI[…]

researchers at software infrastructure firm Pivotal have taught AI to locate this accidentally public sensitive information in a surprising way: By looking at the code as if it were a picture. Since modern artificial intelligence is arguably better than humans at identifying minute differences in images, telling the difference between a password and normal code Read more about Artificial intelligence can scour code to find accidentally public passwords[…]

In the city of Xichang, located in the southwestern Sichuan province, there is a massive, artificial intelligence-powered roach breeding farm that is producing more than six billion cockroaches per year. The facility, which is described by the South China Morning Post as a multi-story building about the size of two sports fields, is being operated Read more about This AI-Controlled Roach Breeding Site Is a Nightmare Factory[…]

While autonomous robots with humanlike, all-encompassing capabilities are still decades away, European lawmakers, legal experts and manufacturers are already locked in a high-stakes debate about their legal status: whether it’s these machines or human beings who should bear ultimate responsibility for their actions. The battle goes back to a paragraph of text, buried deep in a European Read more about Europe divided over robot ‘personhood’[…]