The Singapore government is setting up an advisory council to assess the ethical and legal use of artificial intelligence (AI) and data as well as recommend policies and governance. This would help build “a trusted ecosystem” and ensure consumer confidence, as the country continued to develop its digital economy and new business models emerged, said industry regulator Infocomm Media Development Authority (IMDA).
It added that various stakeholders including consumers, ethics boards of private organisations, and academia would be approached for feedback–specifically, on a discussion paper to be released by the Personal Data Protection Commission (PDPC), detailing the development and adoption of AI, and support the advisory council’s efforts.
Japan is to begin testing a self-driving car programme this year, according to a government plan announced on Monday. The government strategic review, which aims at driving economic growth by spurring investment in new technologies, would seek to put a self-driving car system on public roads in time for the 2020 Olympics.
The strategy was presented at a meeting chaired by Japan’s prime minister, Shinzo Abe, Reuters reported. It’s part of a larger package the government aims to compile by the end of this month.
Around the world, mines are often dark, dangerous places where humans fear to tread. Mapping them can be a perilous task, involving surveyors who must enter with equipment at the risk of personal injury. But now, a Philadelphia company has developed a drone system that can enter a mine and, at the touch of a button, fly autonomously through the darkness and fully map the space in 3D.
The company, Exyn Technologies, was born out of the GRASP Laboratory at the University of Pennsylvania, which has done cutting-edge research on autonomous flying robots. The system it has developed has wide application in other industries like construction and warehouse management, where autonomous mapping and real-time situational awareness could be of immense value. The robot uses a series of onboard sensors and cameras that rapidly scan an area, gathering 300,000 data points per second, and mapping as it goes along.
Artificial intelligence systems meant to analyse medical images are vulnerable to attacks designed to fool them in ways that are imperceptible to humans, a new study warns. There may be enormous incentives to carry out such attacks for healthcare fraud and other nefarious ends, the researchers say.
“The most striking thing to me as a researcher crafting these attacks was probably how easy they were to carry out,” says study lead author Samuel Finlayson, a computer scientist and biomedical informatician at Harvard Medical School in Boston. “This was in practice a relatively simple process that could easily be automated.”
A slew of AI weed killers are on the horizon and have the potential to disrupt the multibillion dollar pesticides business. Among them is Swiss-company ecoRobotix and its weed-killing robot.
It’s solar-powered and can kill weeds for 12 hours straight without an operator at the helm. Through artificial intelligence, cameras and two robotic arms, the table-looking robot sprays a dose of herbicide on weeds but not the crops. EcoRobotix uses 20 times less herbicide than traditional methods that spray entire fields.