Pony.ai, the first public autonomous car service in China, has launched in Guangzhou with partners including Velodyne and GAC Group.
Pony.ai, the first public autonomous car service in China, has launched in Guangzhou with partners including Velodyne and GAC Group.
Another milestone in the race to artificial superintelligence:
A study conducted by legal AI platform LawGeex in consultation with law professors from Stanford University, Duke University School of Law, and University of Southern California, pitted twenty experienced lawyers against an AI trained to evaluate legal contracts. Their 40 page report details how AI has overtaken top lawyers for the first time in accurately spotting risks in everyday business contracts.
Competitors were given four hours to review five non-disclosure agreements (NDAs) and identify 30 legal issues, including arbitration, confidentiality of relationship, and indemnification. They were scored by how accurately they identified each issue.
The artificial intelligence craze isn’t just hitting Silicon Valley—the Justice Department wants to get in on the action, too.
The agency announced today that it will put $2 million towards research on AI, which it believes could be used to fight human trafficking, illegal border crossings, drug trafficking, and child pornography.
National Institute for Justice, the DoJ’s research wing, is funding the initiative in the hopes that it will help address the opioid crisis and fight crime by helping investigators sift through massive amounts of data.
CIMON (Crew Interactive Mobile CompanioN) is a mobile and autonomous assistance system designed to aid astronauts with their everyday tasks on the ISS. This will be the first form of Artificial Intelligence (AI) on an ISS mission. CIMON is an experiment overseen by Space Administration at the German Aerospace Center (DLR) in cooperation with Airbus (Friedrichshafen/Bremen, Germany) as the prime contractor. CIMON is a free flyer fueled with Artificial Intelligence, enhancing human expertise. AI-based technology is about constantly understanding, reasoning and learning, so CIMON is designed to assist and to create a feeling of talking to a crew mate.

Finkbeiner’s success highlights how deep learning, one of the most promising branches of artificial intelligence (AI), is making inroads in biology. The algorithms are already infiltrating modern life in smartphones, smart speakers and self-driving cars. In biology, deep-learning algorithms dive into data in ways that humans can’t, detecting features that might otherwise be impossible to catch. Researchers are using the algorithms to classify cellular images, make genomic connections, advance drug discovery and even find links across different data types, from genomics and imaging to electronic medical records.
A popular artificial-intelligence method provides a powerful tool for surveying and classifying biological data. But for the uninitiated, the technology poses significant difficulties.
To better protect against the rise of ill-intended AI, policymakers ought to be working closely with technical specialists to be aware of potential applications of machine intelligence. Also, technical developers ought to be proactively reaching out to appropriate leaders when they understand the technology they are developing can have negative applications, the report says.
New report from 26 technology experts issues dire warning about the potential of malicious artificial intelligence.
Of $15.2 billion invested in AI startups globally in 2017, 48 percent went to China and just 38 percent to America. So says a new report from CB Insights about the state of AI.
So long, America: It’s the first time China’s AI startups surpassed those in the US in terms of funding. While America still has more AI startups than China, they’re starting to lose out in striking equity deals: the US accounted for 77 percent of them in 2013, but that fell to 50 percent last year.
Fierce competition: AI startup investment rose 141 percent in 2017 compared with 2016—but with 1,100 new startups appearing last year, AI appearing in business models everywhere, and Big Tech’s enterprise AI offerings gaining traction, it’s harder than ever to snag funds.
A friendly robot is helping the elderly stay connected to family and friends.