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’[…]

People are remarkably good at focusing their attention on a particular person in a noisy environment, mentally “muting” all other voices and sounds. Known as the cocktail party effect, this capability comes natural to us humans. However, automatic speech separation — separating an audio signal into its individual speech sources — while a well-studied problem, Read more about Google uses AI to seperate out audio from a single person in a high noise rate video[…]

Transporting yourself into a video game, body and all, just got easier. Artificial intelligence has been used to create 3D models of people’s bodies for virtual reality avatars, surveillance, visualizing fashion, or movies. But it typically requires special camera equipment to detect depth or to view someone from multiple angles. A new algorithm creates 3D models Read more about Watch artificial intelligence create a 3D model of a person—from just a few seconds of video[…]

Researchers have successfully trained artificial intelligence to generate new clips of the prehistoric animated series based on nothing but random text descriptions of what’s happening in a scene. A team of researchers from the Allen Institute for Artificial Intelligence, and the University of Illinois Urbana-Champaign, trained an AI by feeding it over 25,000 three-second clips Read more about This AI Can Automatically Animate New Flintstones Cartoons[…]

30.3 million Americans have diabetes according to a 2015 CDC study. An additional 84.1 million have prediabetes, which often leads to the full disease within five years. It’s important to detect diabetes early to avoid health complications like heart disease, stroke, amputation of extremities and vision loss. Technology increasingly plays an important role in early Read more about FDA approves AI-powered software to detect diabetic retinopathy[…]

Using well-established machine learning techniques, researchers from University of California, Berkeley have taught simulated humanoids to perform over 25 natural motions, from somersaults and cartwheels through to high leg kicks and breakdancing. The technique could lead to more realistic video gameplay and more agile robots. […] UC Berkeley graduate student Xue Bin “Jason” Peng, along Read more about After Millions of Trials, These Simulated Humans Learned to Do Perfect Backflips and Cartwheels[…]

Researchers can estimate your expected lifespan based on physiological traits like your genes or your circulating blood factor, but that’s not very practical on a grand scale. There may be a shortcut, however: the devices you already have on your body. Russian scientists have crafted an AI-based algorithm that uses the activity tracking from smartphones Read more about AI predicts your lifespan using activity tracking apps[…]

On Thursday, Emmanuel Macron, the president of France, gave a speech laying out a new national strategy for artificial intelligence in his country. The French government will spend €1.5 billion ($1.85 billion) over five years to support research in the field, encourage startups, and collect data that can be used, and shared, by engineers. The Read more about Emmanuel Macron Q&A: France’s President Discusses Artificial Intelligence Strategy[…]

A team of astroboffins have built artificial neural networks that estimate the probability of exoplanets harboring alien life. The research was presented during a talk on Wednesday at the European Week of Astronomy and Space Science in Liverpool, United Kingdom. The neural network works by classifying planets into five different conditions: the present-day Earth, the Read more about Is there alien life out there? Let’s turn to AI, problem solver du jour[…]

Analysis IBM boasts that machine learning is not just quicker on its POWER servers than on TensorFlow in the Google Cloud, it’s 46 times quicker. Back in February Google software engineer Andreas Sterbenz wrote about using Google Cloud Machine Learning and TensorFlow on click prediction for large-scale advertising and recommendation scenarios. He trained a model Read more about IBM claims its machine learning library is 46x faster than TensorFlow • The Register[…]