This market research report was originally published at Tractica's website. It is reprinted here with the permission of Tractica. As the AI chipset market is becoming crowded, many AI companies have started creating solutions that cater to a niche market. The needs for chipset power, performance, software, and other attributes vary greatly depending on the […]
New Architectures Emerge in the AI Chipset Race Read More +
This blog post was originally published at Intel's website. It is reprinted here with the permission of Intel. Quantized neural networks (QNNs) are regularly used to improve network efficiency in deep learning. Though there has been much research into different quantization schemes, the number of bits required and the best quantization scheme is still unknown.
Scalable Methods for 8-bit Training of Neural Networks Read More +
This market research report was originally published at Tractica's website. It is reprinted here with the permission of Tractica. High mask costs made it hard for chipset startups to raise capital during the early 2000s. Today, mask costs can range up to $25 million and, by some estimates, the design costs for a 12-nanometer (nm)
AI Chip Companies Continue to Raise More Capital Read More +
This blog post was originally published at Intel's website. It is reprinted here with the permission of Intel. We are pleased to announce the open source release of HE-Transformer, a homomorphic encryption (HE) backend to nGraph, Intel’s neural network compiler. HE allows computation on encrypted data. This capability, when applied to machine learning, allows data
HE-Transformer for nGraph: Enabling Deep Learning on Encrypted Data Read More +
This market research report was originally published at Tractica's website. It is reprinted here with the permission of Tractica. The application of reinforcement learning (RL) in an enterprise context has been limited. Back in 2017 when Tractica blogged about RL in the enterprise, it was mostly about exploring use cases and development platforms. For the
Reinforcement Learning: A Trend to Watch in 2019 Read More +
The Self-Driving Service Provider Will Display aiDrive2, aiSim2, and the Silicon-proven aiWare Hardware IP Core on Booth #7538 December 19, 2018 – AImotive, the full-service autonomous driving technology provider, will showcase its new next-generation products at CES 2019 in Las Vegas Nevada, January 8–12. The newly announced modular self-driving software stack aiDrive will be demoed alongside
AImotive to Showcase the Next Generation of Automated Driving Technology at CES Read More +
San Francisco – 19 December 2018: BrainChip Holdings Ltd. (“BrainChip” or the “Company”) (ASX: BRN), the leading neuromorphic computing company, today announced the BrainChip Studio 2018.3 update for its award-winning BrainChip Studio AI-powered video analysis software. The latest update boasts a powerful new mode that improves the software’s face classification accuracy by 10-30 percent. To
BrainChip Studio 2018.3 Improves Facial Classification Accuracy Read More +
This blog post was originally published at Intel's website. It is reprinted here with the permission of Intel. Deep Learning (DL) computational performance is critical for scientists and engineers applying deep learning techniques to many challenges in healthcare, commerce, autonomous driving, and other domains. This is why in March, we released an early version of
nGraph Compiler Stack–Beta Release Read More +
This market research report was originally published at Tractica's website. It is reprinted here with the permission of Tractica. At the Huawei Connect 2018 conference, apart from announcing a broad full-stack AI strategy, Huawei also talked about upcoming support for on-device training capabilities for its Ascend Lite chipset that is targeted at smartphones supporting 1
Huawei Is Pushing for AI Training at the Edge Read More +
News highlights: Arm introduces latest addition to the Arm Safety Ready program, a new “Automotive Enhanced” processor designed to help enable safe next generation driver experiences Optimized for 7nm: Cortex-A65AE is Arm’s first multithreaded processor with integrated safety for handling sensor data in autonomous and high throughput needs in IVI/cockpit systems Simultaneous multithreading optimized for
Here you’ll find a wealth of practical technical insights and expert advice to help you bring AI and visual intelligence into your products without flying blind.
1646 N. California Blvd.,
Suite 360
Walnut Creek, CA 94596 USA
