AI

ASUS and Google have joined forces to develop a new project that the companies are calling ‘Tinker Board’ single board computers (SBCs). With a footprint not much larger than a credit card, the systems are designed for building small systems to work on AI inference applications like image recognition. The systems in question are the Tinker Edge T and Tinker Edge R. The former is based on the NXP i.MX8M with an Edge TPU chip that accelerates TensorFlow Lite, whereas the Tinker Edge R is powered by the Rockchip RK3399 Pro processor with an NPU for 4K machine learning. The SBCs officially support Android and Debian operating system, though nothing prevents them from running Linux or other OSes. Both Tinker Edge T and Tinker Edge R...

New Uses for Smartphone AI: A Short Commentary on Recording History and Privacy

This opinion piece is reactionary to recent announcements. Having just attended the Huawei keynote here at the IFA trade show, there were a couple of new features enabled through AI...

25 by Dr. Ian Cutress on 9/6/2019

Hot Chips 31 Live Blogs: Xilinx Versal AI Engine

Xilinx, the manufacturer of FPGAs, announced its new Versal AI engine last year as a way of moving FPGAs into the AI domain. This talk is set to expand...

0 by Dr. Ian Cutress on 8/20/2019

Honor Set to Enter TV Market with New Honghu 8K CPU

Not being shy to take some gambles, this one appears to be its biggest yet: Honor is going to be developing both TVs and display scalers for the consumer...

9 by Dr. Ian Cutress on 7/30/2019

Intel's Xeon Cascade Lake vs. NVIDIA Turing: An Analysis in AI

It seems like the new motto for Silicon Valley for the last few years has been “Data is the new oil,” and for good reason. The number of companies...

56 by Johan De Gelas on 7/29/2019

Intel Acquires Omnitek: FPGA Video Acceleration and Inferencing

One of the characteristics of Intel is its investment into new IP. This usually takes several forms, such as internal R&D, investing in other companies through Intel Capital, or...

10 by Ian Cutress on 4/16/2019

AI On The Edge: New Flex Logix X1 Inference AI Chip For Fanless Designs

A large number of inference demonstrations published by the big chip manufacturers revolve around processing large batch sizes of images on trained networks. In reality, when video is being...

1 by Ian Cutress on 4/10/2019

The AI Race Expands: Qualcomm Reveals “Cloud AI 100” Family of Datacenter AI Inference Accelerators for 2020

This morning at their first AI Day, the 800lb gorilla of the mobile world, Qualcomm announced that they are getting into the AI accelerator market, and in an aggressive...

26 by Ryan Smith on 4/9/2019

BlackBerry Acquires Cylance, Gets AI & ML Security Technology

BlackBerry Limited has announced that it had completed acquisition of Cylance, a company developing machine learning and artificial intelligence-based security technology. The move adds valuable IP and technologies to...

7 by Anton Shilov on 2/25/2019

Scaling Inference with NVIDIA’s T4: A Supermicro Solution with 320 PCIe Lanes

When visiting the Supercomputing conference this year, there were plenty of big GPU systems on display for machine learning. A large number were geared towards the heavy duty cards...

12 by Ian Cutress on 11/19/2018

Huawei’s GPU Turbo: Valid Technology with Overzealous Marketing

One of the biggest announcements from Huawei this year is that of its new GPU Turbo technology. The claims that it could provide more performance at less power, without...

64 by Ian Cutress & Andrei Frumusanu on 9/4/2018

IFA 2018: Honor Play Launch, a Live Blog

After some meetings this morning, the next event on our list is the western launch of the Honor Play: a Kirin 970 smartphone that focuses on AI. Honor is...

2 by Ian Cutress on 8/30/2018

Khronos Group Releases Neural Network Exchange Format 1.0, Showcases First Public OpenXR Demo

Today at SIGGRAPH the Khronos Group, the industry consortium behind OpenGL and Vulkan, announced the ratification and public release of their Neural Network Exchange Format (NNEF), now finalized as...

8 by Nate Oh on 8/14/2018

Xilinx Acquires DEEPhi Tech ML Startup

Xilinx this week announced that it had taken over DeepPhi Technology, a machine learning startup from China. DEEPhi has been using Xilinx FPGA for its ML projects since its...

5 by Anton Shilov on 7/19/2018

AMD Demos 7nm Vega GPU: Betting Big on Machine Learning for Radeon Instinct; Shipping This Year

In a fairly unexpected move, AMD formally demonstrated at Computex its previously-roadmapped 7nm-built Vega GPU. As per AMD's roadmaps on the subject, the chip will be used for AMD’s...

29 by Anton Shilov on 6/6/2018

Cambricon, Makers of Huawei's Kirin NPU IP, Build A Big AI Chip and PCIe Card

Cambricon Technologies, the company in collaboration with HiSilicon / Huawei for licensing specialist AI silicon intellectual property for the Kirin 970 smartphone chipset, have gone solo and created their...

27 by Ian Cutress on 5/26/2018

Honor 10 Launch and Hands On: Kirin 970, More AI, More Notch

In a world filled with rectangular blocks with displays, it takes a large effort to differentiate. The new Honor 10, launched today at an event in London, follows the...

34 by Ian Cutress on 5/15/2018

Interview with Aicha Evans, Intel’s Chief Strategy Officer

Expanding into several different new markets has challenges that only the most well positioned and structured companies can achieve. Having covered the growth of Intel over the last ten...

30 by Ian Cutress on 4/4/2018

Huawei P20 and P20 Pro Hands-On: Embrace the Notch

It’s time to have a serious discussion about the Notch. Love it or hate it, the Notch is going to be a defining element of major smartphones this year...

76 by Ian Cutress on 3/27/2018

Microsoft Announces AI Platform for Windows Developers: Machine Learning On The Edge

Today Microsoft is hosting a developer day, and one of the highlights they are showcasing is a new API called WinML. Artificial Intelligence and Machine Learning are two of...

10 by Brett Howse on 3/7/2018

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