Amid the rapid digitalisation of China’s economy, the second-biggest in the world, Midea’s factory represents a snapshot of the future – one in which manufacturing processes and employees need to adapt to increased automation and machine-driven learning.
Machines are increasingly taking over China’s assembly lines as manufacturers upgrade and prepare for fewer, higher-skilled workers.
At Google’s workshop on the conceptual understanding of deep learning, award-winning computer scientist Christos Papadimitriou discussed brain assemblies and their correspondence with artificial intelligence.
Researchers from Zurich have developed a compact, energy-efficient device made from artificial neurons that is capable of decoding brainwaves. The chip uses data recorded from the brainwaves of epilepsy patients to identify which regions of the brain cause epileptic seizures. This opens up new perspectives for treatment.
Current neural network algorithms produce impressive results that help solve an incredible number of problems. However, the electronic devices used to run these algorithms still require too much processing power. These artificial intelligence (AI) systems simply cannot compete with an actual brain when it comes to processing sensory information or interactions with the environment in real time.
AI and cloud-based computing are saving billions of dollars in lost commuting time—and keeping you on your way.
In the welding field, however, some argue that a robot takeover might be beneficial, and even necessary.
Columbus startup Path Robotics believes AI is one solution to the shortage of skilled labor that plagues welding. Path boasts the “world’s first truly autonomous robotic welding system.” Conceived after 18 months in the basement of a foundry, its system identifies what needs to be welded, welds it and learns along the way.
Path Robotics CEO Andy Lonsberry said he and his brother, Alex Lonsberry, chief technology officer at Path Robotics, always wanted to start a business.
The US Department of Energy on Thursday is officially dedicating Perlmutter, a next-generation supercomputer that will deliver nearly four exaflops of AI performance. The system, based at the National Energy Research Scientific Computing Center (NERSC) at Lawrence Berkeley National Laboratory, is the world’s fastest on the 16-bit and 32-bit mixed-precision math used for AI.
The HPE Cray system is being installed in two phases. Each of Phase 1’s GPU-accelerated nodes has four Nvidia A100 Tensor Core GPUs, for a total of 6159 Nvidia A100 Tensor Core GPUs. Each Phase 1 node also has a single AMD Milan CPU.
It’s only the country’s second new fighter design since the end of the Cold War.
Russia’s famed Sukhoi Design Bureau is reportedly working on a brand-new, fifth-generation fighter jet: a lightweight fighter capable of flying faster than Mach 2.
The unnamed fighter would likely complement the larger, heavier Su-57 fighter jet (pictured above) and would use at least some of the same components.
According to an industry source via Russian state media’s RIA Novosti, the fifth-gen fighter will have one engine, a reduced radar signature, “super maneuverability,” and thrust vectoring capabilities. The source also said the plane could be offered in manned and unmanned versions.
Benjamin, as the AI is known, assembled ‘Zone Out’ from thousands of hours of old films and green-screen footage of professional actors—in 48 hours.
Microsoft reveals plans to bring GPT-3, best known for generating text, to programming. “The code writes itself,” CEO Satya Nadella says.
