Micron CEO Sanjay Mehrotra sees smart loos in our future and is anxious to sell the chips they will need.

Using an AI design process, engineers at software company Autodesk and NASA’s Jet Propulsion Laboratory came up with a new interplanetary lander concept that could explore distant moons like Europa and Enceladus. Its slim design weighs less than most of the landers that NASA has already sent to other planets and moons.

The debate over the effects of artificial intelligence has been dominated by two themes. One is the fear of a singularity, an event in which an AI exceeds human intelligence and escapes human control, with possibly disastrous consequences. The other is the worry that a new industrial revolution will allow machines to disrupt and replace humans in every—or almost every—area of society, from transport to the military to healthcare.

In 2016, McKinsey analyzed over 800 professions in the US and discovered machines could automate 45 percent of the activities, while 60 percent could see 30 percent or more of their jobs automated. Such a grim forecast doesn’t add a positive light on the role AI will play in the future, even for writers.

We say a lot with our hands. We spread them wide to indicate size, stab the air for emphasis and reach out to draw people in. Waving our hands about when we speak makes us appear less robotic – and that’s true for robots too.

Amazon decided to shut down its experimental artificial intelligence (AI) recruiting tool after discovering it discriminated against women. The company created the tool to trawl the web and spot potential candidates, rating them from one to five stars. But the algorithm learned to systematically downgrade women’s CV’s for technical jobs such as software developer.

The New York Times has somewhere in the realm of five to seven million physical photos in its enormous archive, many of which date back more than a century. The images document vital moments and contain valuable records of our recent history, but the hard copies are vulnerable to deterioration (they fortunately survived flooding in 2015). To protect the photos, the Times is digitizing the archive with Google Cloud.

The traditional hiring process is failing candidates, companies and recruiters. It revolves around human interpretation of complex data that is too susceptible to prejudices and mental shortcuts. A hiring process assisted by machine learning could eliminate systemic biases that put social status over skill. However, in recent news, algorithms have failed at that task. A resume screening algorithm developed at Amazon became biased against female applicants. Another such algorithm favored candidates named Jared who played lacrosse.

As if we didn’t already have enough to worry about when it comes to artificially intelligent machines being able to perform many tasks faster and better than humans can, potentially stealing our jobs in the future, and presenting what some technologists worry is an existential threat to humanity, now it appears AI will soon be able to match humans at being, well, human, too.

Holding the opinion that I do still believe Self-Driving or Autonomous Vehicles are a luxury rather than a necessity; vehicle manufacturers continue to make the argument that AI vehicles are superior to non-autonomous vehicles. Though, consider that is the case — in certain situations, if the driver is handicapped, under the influence, or just plain tired, let AI take the wheel (Pathetic Carrie Underwood Pun intended).

Researchers at the University of Waterloo have developed a new system that could significantly speed up the discovery of new drugs and reduce the need for costly and time-consuming laboratory tests.

Chinese authorities have begun deploying a new surveillance tool: "gait recognition" software that uses people's body shapes and how they walk to identify them, even when their faces are hidden from cameras. Already used by police on the streets of Beijing and Shanghai, "gait recognition" is part of a push across China to develop artificial-intelligence and data-driven surveillance that is raising concern about how far the technology will go.

With Chinese tech giants Baidu, Alibaba, and Tencent focused on developing sophisticated AI-driven systems in the coming decade, the rest of the world can only watch while China builds the computer systems that will run our world in the decades to come.

With the advent of machine learning, computers can think — sort of. Here’s what that means for the future

Teaching AI how to combine smaller models to understand complex situations has been a major stumbling block for machine learning research.

Musk talks about his "excruciating" 2018, fighting with journalists on Twitter, why Tesla won’t build an electric scooter and much more.

London’s unpredictable pedestrians are teaching driverless cars to avoid hitting people. Software is being developed by a start-up based at Imperial College to scan and analyse footage of people walking along the capital’s busiest streets. It is then used to help autonomous vehicles better predict human behaviour and decision-making just before they dart across the road.

Artificial intelligence has been around for half a century, but it has only recently become a real player in the healthcare space. Harjinder Sandhu, the CEO and founder of SayKara, says that’s all down to data. “The data never really existed” for AI to take off, Sandhu said on a panel about AI and the future of healthcare at the 2018 GeekWire Summit. “In healthcare specifically, if you look back 20 years, virtually every medical record was on paper.”

What does AI look like? You might say it looks like a robot, or flashing LEDs, or a waveform on a screen. But what would AI say AI looks like? To find out, IBM Research asked AI to draw us a picture… of itself. AI’s self-portrait was published in The New York Times today and, looking at the image, I am amazed not only with the result, but also the journey we took to get there.

Hossein Rahnama knows a CEO of a major financial company who wants to live on after he’s dead, and Rahnama thinks he can help him do it. Rahnama is creating a digital avatar for the CEO that they both hope could serve as a virtual “consultant” when the actual CEO is gone. Some future company executive deciding whether to accept an acquisition bid might pull out her cell phone, open a chat window, and pose the question to the late CEO. The digital avatar, created by an artificial-intelligence platform that analyzes personal data and correspondence...

“IT’S CHEATING.” That’s the response you’ll hear from self-proclaimed music purists talking about technological innovation in song creation. Sampling, synthesizers, drum machines, Auto-Tune—all have been derided as lazy ways to make chart-topping hits because they take away the human element. (With apologies to Vanilla Ice, Gary Numan, Prince, and T-Pain.)

Christie’s has sold its first piece of AI art, a canvas named the Portrait of Edmond Belamy, for $432,500. The sale is unusual not only as a first for the 252-year-old auction house, but because the expected price for the print was between $7,000 and $10,000.

Christie’s has sold its first piece of AI art, a canvas named the Portrait of Edmond Belamy, for $432,500. The sale is unusual not only as a first for the 252-year-old auction house, but because the expected price for the print was between $7,000 and $10,000.

Companies slow to adopt AI-based productivity improvements be warned: Artificial intelligence is the biggest commercial opportunity for companies, industries and nations over the next few decades, according to a recent report from PwC. AI advances will increase global GDP by up to 14% between now and 2030, the equivalent of an additional $15.7 trillion contribution to the world’s economy.

Anonymous machine learning engineers wrote 'The Blowjob Paper' to try to make this bj machine more lifelike.

According to a research paper on the project, entitled “Analysis of Movement in Oral Sex Performed Upon Men,” sixteen distinct motions were discovered.

Will your job be done by a robot 10 years from now? If so, what will you end up doing? Over and over, experts have assured us that robots are not going to take over the world in the foreseeable future, but for some industries, the impact of robots will still be felt. "The angst that many people are feeling in a world where machines can do everything can only be calmed by creating new, better work for people to do," said Ben Pring, vice president director of Cognizant's Centre for the Future of Work.

Algorithms are getting good at churning out video that convincingly shows a real person doing something they’ve never done in reality. In a paper posted to the arXiv preprint server this week, researchers at the University of California Berkeley demonstrate how they designed AI that, given video of an expert dancer and an amateur, can transfer the moves from one to the other and create convincing video of the amateur pulling off some seriously impressive rug-cutting. But that’s not all.

Should you sacrifice your livelihood to save the world? Or is there a responsible way to bring your work to life?

The death of a woman hit by a self-driving car highlights an unfolding technological crisis, as code piled on code creates ‘a universe no one fully understands’

When a police officer begins to raise a hand in traffic, human drivers realize that the officer is about to signal them to stop. But computers find it harder to work out people's next likely actions based on their current behavior. Now, a team of A*STAR researchers and colleagues has developed a detector that can successfully pick out where human actions will occur in videos, in almost real-time.

It's a really important first step towards artificial general intelligence, algorithms that can do more than a single narrowly-defined task.

Don't worry, killer robots only came up twice.

Artificial Intelligence is a greater concern than antibiotic resistance, climate change or terrorism for the future of Britain, the incoming president of the British Science Association has warned. Jim Al-Khalili, Professor of physics and public engagement at the University of Surrey, said the unprecedented technological progress in AI was ‘happening too fast’ without proper scrutiny or regulation.

Nvidia today debuted the Tesla T4 graphics processing unit (GPU) chip to speed up inference from deep learning systems in datacenters. The T4 GPU is packed with 2,560 CUDA cores and 320 Tensor cores with the power to process queries nearly 40 times faster than a CPU. Inference is the process of deploying trained AI models to power the intelligence imbued in services like visual search engines, video analysis tools, or questions to an AI assistant like Alexa or Siri.