Don't-Miss Processor Stories
Connected cameras are among the hardest-working IoT devices. They’re the target of chip and software enhancements that Qualcomm is introducing on Tuesday.
Mobileye is designing a next-generation chip called EyeQ5, which will be the brains for fully autonomous cars by 2020. It has a new MIPS CPU.
Intel has introduced a company-branded commercial drone, the Falcon 8+ in North American markets, with the eventual aim to lead in the unmanned aerial vehicle (UAV) segment, particularly in the commercial space.
At last week's Linaro Connect conference, Linus Torvalds preferred x86 because of the supporting ecosystem and infrastructure, something ARM lacks.
The 1,024-core mega-chip called Epiphany V from small chipmaker Adapteva can outperform the latest gaming and server processors with its new chip
It seems the chip war between Intel and ARM is slowly winding down, at least for the time being.
AMD wants to make it easier for PC users to upgrade to upcoming Zen chips.
The internet of things market is becoming too big to ignore for AMD and Qualcomm. The companies this week announced CPUs and GPUs adapted from PCs and mobile devices for use in IoT devices.
Nvidia's current Pascal GPUs are generating a lot of enthusiasm, but its successor, the Volta GPU architecture, is on its way next year, and there's a lot to be excited about.
These are great! But be patient, 'cause they need a bit more time to be fully baked.
Developing a computer that can be as decisive and intelligent as humans is on IBM's mind, and it's making progress toward achieving that goal.
Forget PCs and servers: D-Wave Systems is looking into the future with its quantum computer, up to 1,000 times faster than an earlier model.
Autonomous cars don't have the benefit of humans slamming on brakes to avoid accidents; chips will need to swiftly crunch sensor data and algorithms.
IDG News Service spoke with Venkata Renduchintala, Intel's second-in-command, on a range of topics including VR headsets, IoT, automotive cars and competitors and the decision to cut products.
Recent accidents involving Tesla cars may have been a setback for self-driving cars, but Nvidia believes a fast computer under the hood could make autonomous cars and cabs truly viable.