Showing posts with label #AI. Show all posts
Showing posts with label #AI. Show all posts

Wednesday, October 10, 2018

Intel Vision Accelerator targets AI inference on edge devices

Intel unveiled its family of Intel Vision Accelerator Design Products targeted at artificial intelligence (AI) inference and analytics performance on edge devices. Two acceleration solutions are being introduced: one that features an array of Intel Movidius vision processors and one built on the high-performance Intel Arria 10 FPGA.

The devices could be used to build vision-based AI accelerator cards that collect and analyze data right on edge devices for real-time decision-making. AI workloads are offloaded from the system CPU.

“Until recently, businesses have been struggling to implement deep learning technology. For transportation, smart cities, healthcare, retail and manufacturing industries, it takes specialized expertise, a broad range of form factors and scalable solutions to make this happen. Intel’s Vision Accelerator Design Products now offer businesses choice and flexibility to easily and affordably accelerate AI at the edge to drive real-time insights,” stated Jonathan Ballon, Intel vice president and general manager, Internet of Things Group

Intel said developers it is working with have achieved up to 9.6X times using accelerator cards powered by these devices.

Wednesday, December 20, 2017

Anodot raises $23M for AI-driven analytics

Anodot, a start-up based in Ra'anana, Israel with offices in Sunnyvale, California announced $23 million in Series B funding for its AI-powered analytics.

Anodot's AI-powered analytics tracks and correlates massive volumes of business and technical data in real time to identify business incidents, such as e-commerce glitches. The company recently achieved Amazon Web Services' Machine Learning competency, a status held by only 17 companies globally.

Anodot cited several examples: it insights enabled a retailer to update its pricing to address competitor's bidding activity that was affecting product revenue; a mobile games company to resolve customer engagement drops resulting from its AB tests, and a fintech company to protect its revenue by reducing incident resolution time by 99%.

Over the past year, Anodot says it has more than tripled its revenues, with customers such as Foursquare, Lyft, Microsoft, Upwork and Waze (Google).

The most recent investment was led by Redline Capital Management together with existing investors Aleph Venture Capital and Disruptive Technologies Venture Capital.

Anodot is led by David Drai, co-founder and CEO who previously co-founded Cotendo (acquired by Akamai). Also on the Anodot founding team are Ira Cohen, formerly Chief Data Scientist at HP, and software R&D executive Shay Lang.

Monday, December 12, 2016

AMD Outlines Strategy for GPU-Accelerated Machine Learning

AMD outlined its strategy to accelerate the machine intelligence era in server computing through a new suite of hardware and open-source software offerings. Plans include new AMD Radeon Instinct GPU accelerators for deep learning inference and training.

Along with the new hardware offerings, AMD announced MIOpen, a free, open-source library for GPU accelerators intended to enable high-performance machine intelligence implementations, and new, optimized deep learning frameworks on AMD's ROCm software to build the foundation of the next evolution of machine intelligence workloads.

"Radeon Instinct is set to dramatically advance the pace of machine intelligence through an approach built on high-performance GPU accelerators, and free, open-source software in MIOpen and ROCm," said AMD President and CEO, Dr. Lisa Su. "With the combination of our high-performance compute and graphics capabilities and the strength of our multi-generational roadmap, we are the only company with the GPU and x86 silicon expertise to address the broad needs of the datacenter and help advance the proliferation of machine intelligence."

http://www.amd.com

Thursday, November 17, 2016

Intel Nervana Aims for AI

Intel introduced its "Nervana" platform and outlined its broad for artificial intelligence (AI), encompassing a range of new products, technologies and investments from the edge to the data center.

Intel currently powers 97 percent of data center servers running AI workloads on its existing Intel Xeon processors and Intel Xeon Phi processors, along with more workload-optimized accelerators, including FPGAs (field-programmable gate arrays).

Intel said the breakthrough technology acquired from Nervana earlier this summer will be integrated into its product roadmap. Intel will test first silicon (code-named “Lake Crest”) in the first half of 2017 and will make it available to key customers later in the year. In addition, Intel announced a new product (code-named “Knights Crest”) on the roadmap that tightly integrates best-in-class Intel Xeon processors with the technology from Nervana. Lake Crest is optimized specifically for neural networks to deliver the highest performance for deep learning and offers unprecedented compute density with a high-bandwidth interconnect.

“We expect the Intel Nervana platform to produce breakthrough performance and dramatic reductions in the time to train complex neural networks,” said Diane Bryant, executive vice president and general manager of the Data Center Group at Intel. “Before the end of the decade, Intel will deliver a 100-fold increase in performance that will turbocharge the pace of innovation in the emerging deep learning space.”

Bryant also announced that Intel expects the next generation of Intel Xeon Phi processors (code-named “Knights Mill”) will deliver up to 4x better performance1 than the previous generation for deep learning and will be available in 2017.

In addition, Intel announced it is shipping a preliminary version of the next generation of Intel Xeon processors (code-named “Skylake”) to select cloud service providers. With AVX-512, an integrated acceleration advancement, these Intel Xeon processors will significantly boost the performance of inference for machine learning workloads. Additional capabilities and configurations will be available when the platform family launches in mid-2017 to meet the full breadth of customer segments and requirements.

Intel also highlighted its Saffron Technology, which leverages memory-based reasoning techniques and transparent analysis of heterogeneous data.

https://newsroom.intel.com/editorials/krzanich-ai-day/

Intel to Acquire Nervana for AI

Intel agreed to acquire Nervana Systems, a start-up based in San Diego, California, for their work in machine learning. Financial terms were not disclosed.

Nervana, which was founded in 2014, developed a software and hardware stack for deep learning.

Intel said the Nervana technology would help optimize the Intel Math Kernel Library and its integration into industry standard frameworks, advancing the deep learning performance and TCO of the Intel Xeon and Intel Xeon Phi processors.

http://www.intel.com

Thursday, September 29, 2016

Microsoft Creates AI and Research Group

Microsoft has formed a new research organization with more than 5,000 computer scientists and engineers focused on the company’s AI product efforts.001

The Microsoft AI and Research Group, which will be led by computer vision luminary Harry Shum, is dedicated "to democratizing AI for every person and organization, making it more accessible and valuable to everyone and ultimately enabling new ways to solve some of society’s toughest challenges."

“We live in a time when digital technology is transforming our lives, businesses and the world, but also generating an exponential growth in data and information,” said Satya Nadella, CEO, Microsoft. “At Microsoft, we are focused on empowering both people and organizations, by democratizing access to intelligence to help solve our most pressing challenges. To do this, we are infusing AI into everything we deliver across our computing platforms and experiences.”

http://www.microsoft.com


Wednesday, September 28, 2016

Fast Forward Labs: The Growing Impact of AI on Networks

Kathryn Hume, President of NYC-based Fast Forward Labs, discusses the growing impact of artificial intelligence on the world of networking.  We're already seeing the first applications, such as resource optimization.

Filmed at Net Events' Global Press & Analyst Summit in California.




See video: https://youtu.be/C-ZJO7K3sck

http://www.netevents.org
http://www.fastforwardlabs.com/


See also