AI Technology & Industry Review
Because training deep learning models requires intensive computation, AI researchers are always on the lookout for new and better hardware and software platforms for their increasingly sophisticated models.
At the IFA 2018 in Berlin today Huawei unveiled the new Kirin 980, the world’s first 7nm smartphone SoC (system-on-a-chip) with a dual-core NPU (Neural Network Processing Unit).
DeepMind’s 2018 AlphaGo Zero requires 300,000 times more computing power than AlexNet did in 2013. With larger-than-ever datasets and demandingContinue Reading
Chip giant NVIDIA Founder and CEO Jensen Huang created a bit of a stir at yesterday’s GPU Technology Conference in Santa Clara, USA, when he appeared to dis one of these chips’ appropriateness for autonomous vehicle system development: “FPGA is not the right answer,” he said.
Embedded AI can transform a tabletop speaker into a personal assistant; give a robot brains and dexterity; and turn a smartphone into a smart camera, music player, or game console. Traditional processors, however, lack the computational power to support many of these intelligent features.
On November 6 in Beijing, China’s rising semiconductor unicorn Cambricon released new state-of-art AI processors.
The annual NVIDIA GTA Conference opened in Beijing on September 26th.
China’s biggest domestic mobile phone maker, Huawei, is now powering its phones with artificial intelligence (AI) engines. The Chinese techContinue Reading