Robots are replacing human manufacturing workers in France, and making companies more productive in the process.
Daron Acemoglu at the Massachusetts Institute of Technology and his colleagues analysed more than 55,000 French manufacturing firms, noting which ones bought robots between 2010 and 2015 and what impacts the purchases had.
A Google AI tool that can recognise and label what’s in an image will no longer attach gender tags like “woman” or “man” to photos of people. Google’s Cloud Vision API is a service for developers that allows them to, among other things, attach labels to photos identifying the contents. The tool can detect faces, landmarks, brand logos, and even explicit content, and has a host of uses from retailers using visual search to researchers identifying animal species.
A deep-learning model identifies a powerful new drug that can kill many species of antibiotic-resistant bacteria.
China is deploying robots and drones to remotely disinfect hospitals, deliver food and enforce quarantine restrictions as part of the effort to fight coronavirus.
Chinese state media has reported that drones and robots are being used by the government to cut the risk of person-to-person transmission of the disease.
There are 780 million people that are on some form of residential lockdown in China. Wuhan, the city where the viral outbreak began, has been sealed off from the outside world for weeks.
With some reports predicting the precision agriculture market will reach $12.9 billion by 2027, there is an increasing need to develop sophisticated data-analysis solutions that can guide management decisions in real time. A new study from an interdisciplinary research group at University of Illinois offers a promising approach to efficiently and accurately process precision ag data.
The majority have focused on outlining high-level principles that should guide those building these systems. W hether by chance or by design, the principles they have coalesced around closely resemble those at the heart of medical ethics. But writing in Nature Machine Intelligence, Brent Mittelstadt from the University of Oxford points out that AI development is a very different beast to medicine, and a simple copy and paste won’t work.
The four core principles of medical ethics are respect for autonomy (patients should have control over how they are treated), beneficence (doctors should act in the best interest of patients), non-maleficence (doctors should avoid causing harm) and justice (healthcare resources should be distributed fairly).
The more than 80 AI ethics reports published are far from homogeneous, but similar themes of respect, autonomy, fairness, and prevention of harm run through most. And these seem like reasonable principles to apply to the development of AI. The problem, says Mittelstadt, is that while principles are an effective tool in the context of a discipline like medicine, they simply don’t make sense for AI.
Robotic spacecraft will be able to communicate with the dish using radio waves and lasers.
Surrounded by California desert, NASA officials broke ground Tuesday, Feb. 11, on a new antenna for communicating with the agency’s farthest-flung robotic spacecraft. Part of the Deep Space Network (DSN), the 112-foot-wide (34-meter-wide) antenna dish being built represents a future in which more missions will require advanced technology, such as lasers capable of transmitting vast amounts of data from astronauts on the Martian surface. As part of its Artemis program NASA will send the first woman and next man to the Moon by 2024, applying lessons learned there to send astronauts to Mars.
Using massive antenna dishes, the agency talks to more than 30 deep space missions on any given day, including many international missions. As more missions have launched and with more in the works, NASA is looking to strengthen the network. When completed in 2½ years, the new dish will be christened Deep Space Station-23 (DSS-23), bringing the DSN’s number of operational antennas to 13.
