Daily News Digest Featured News

Google’s AI reduces translation errors by 87%; CEVA launches 5th generation chip; Microsoft betting big on AI; AR companies in the UK;

Google’s new translation software is powered by brainlike artificial intelligence, (Science Mag)

The new system, a deep learning model known as neural machine translation, effectively trains itself—and reduces translation errors by up to 87%.

CEVA Launches Fifth-Generation Machine Learning Image and Vision DSP Solution: CEVA-XM6, (Anadtech)

The CEVA-XM4 DSP was aimed at being the first programmable DSP to support deep learning, and the new XM6 IP (along with the software ecosystem) is being launched today under the heading of stronger efficiency, compute, and new patents regarding power saving features.

Two of the big competitors for CEVA in this space, for automotive image/visual processing, is MobilEye and NVIDIA, with the latter promoting the TX1 for both training and inference for neural networks. Based on TX1 on a TSMC 20nm Planar process at 690 MHz, CEVA states that their internal simulations give a single XM6 based platform as 25x the efficiency and 4x the speed based on AlexNet and GoogleNet (with the XM6 also at 20nm, even though it will most likely be implemented at 16nm FinFET or 28nm). This would mean, extrapolating the single batch TX1 data published, that XM6 using AlexNet at FP16 can perform 268 images a second compared to 67, at around 800 mW compared to 5.1W. At 16FF, this power number is likely to be significantly lower (CEVA told us that their internal metrics were initially done at 28nm/16FF, but were redone on 20nm for an apples-to-apples with the TX1). It should be noted that TX1 numbers were provided for multi-batch which offered better efficiency over single batch, however other comparison numbers were not provided. CEVA also implements power gating with a DVFS scheme that allows low power modes when various parts of the DSP or accelerators are idle.

ceva-5th-generation-vision-platform-media-briefings-092116-final-07_575px

 

ceva-5th-generation-vision-platform-media-briefings-092116-final-08

ceva-5th-generation-vision-platform-media-briefings-092116-final-10_678x452ceva-5th-generation-vision-platform-media-briefings-092116-final-11 ceva-5th-generation-vision-platform-media-briefings-092116-final-12_575px ceva-5th-generation-vision-platform-media-briefings-092116-final-17_575px ceva-5th-generation-vision-platform-media-briefings-092116-final-22_575px

 

Microsoft CEO Satya Nadella on artificial intelligence, algorithmic accountability, and what he learned from Tay, (QZ)

In his second keynote on the subject this year, CEO Satya Nadella yesterday (Sept. 26) stood in front of IT professionals and reiterated the company’s commitment to infuse every part of Microsoft’s business, from cloud services to Microsoft Word, with some kind of AI :

“People will use these Cognitive APIs, whether it’s image recognition or speech recognition, for whatever it is they’re doing. We are not going to be the “censors,” or editors.”

One of my biggest learnings from [chatbot] Tay was that you need to build even AI that is resilient to attacks.

The Morning Download: Microsoft Roots Out Software Bugs With Artificial Intelligence, (Wall Street Journal)

On Monday, Microsoft look another step in that direction as it announced plans to provide users with a cloud-based bug detection tool powered by artificial intelligence, which seeks to eliminate vulnerabilities in Windows, Office and other enterprise applications – avoiding the need for costly patches later on. CIO Journal’s Angus Loten has the story.

Artificial Intelligence Poised to Double Annual Economic Growth Rate in 12 Developed Economies and Boost Labor Productivity by up to 40 Percent by 2035, According to New Research by Accenture, (Business Wire)

The Accenture Institute for High Performance, in collaboration with Frontier Economics, modeled the impact of AI for 12 developed economies that together generate more than 50 percent of the world’s economic output. The research compared the size of each country’s economy in 2035 in a baseline scenario, which shows expected economic growth under current assumptions and an AI scenario, which shows expected growth once the impact of AI has been absorbed into the economy.

AI was found to yield the highest economic benefits for the United States, increasing its annual growth rate from 2.6 percent to 4.6 percent by 2035, translating to an additional USD $8.3 trillion in gross value added (GVA). In the United Kingdom, AI could add an additional USD $814 billion to the economy by 2035, increasing the annual growth rate of GVA from 2.5 to 3.9 percent. Japan has the potential to more than triple its annual rate of GVA growth by 2035, and Finland, Sweden, the Netherlands, Germany and Austria could see their growth rates double.

To fulfill the promise of AI as a new factor of production that can reignite growth, Accenture recommends the following steps be taken to help navigate the complexity of issues:

  • Prepare the next generation – integrate human intelligence with machine intelligence so they can successfully co-exist in a two-way learning relationship and reevaluate the type of knowledge and skills required for the future.
  • Encourage AI-powered regulation – update and create adaptive, self-improving laws to close the gap between the pace of technological change and the pace of regulatory response.
  • Advocate a code of ethics for AI – ethical debates should be supplemented by tangible standards and best practices in the development and use of intelligent machines.
  • Address the redistribution effects – policymakers should highlight how AI can result in tangible benefits and preemptively address any perceived downsides of AI, helping groups disproportionately affected by changes of employment and incomes.

Infer’s Artificial Intelligence Platform for Sales and Marketing Now Powers the Industry’s Largest Customer Community, (Business Wire)

“The increasing speed of our sales cycles indicates that we’re on the precipice of mass adoption for artificial intelligence and predictive solutions. Businesses are increasingly recognizing the huge opportunity and very low risk of leveraging accurate, actionable insights to convert more customers faster than ever before,” said Vik Singh, co-founder and CEO of Infer.

Today, Infer has the largest customer base in its category, including Forbes Cloud 100 award winners like Appdynamics, Avalara, Campaign Monitor, Cloudera, Intacct, Mixpanel, NewVoiceMedia, WalkMe and ZipRecruiter.

How startups like Urban Ladder, Smartivity are bringing augmented reality into the spotlight, (Economic Times)

Startups like the UK-based Blippar and online furniture retailer Urban Ladder, as well as education-technology players like Smartivity and Simulanis, are among those working on new applications using augmented reality, a technology where digital content is added to the real world.

Microsoft HoloLens is coming to more Lowe’s, (WFAA)

If you haven’t tried HoloLens yet, your odds of interacting with Microsoft’s $3,000 developer-only augmented reality device just improved.

636104929208544556-lowes2_1475002596346_6317157_ver1-0
Author:

George Popescu
George Popescu

About the author

George Popescu

I am presently the co-founder and CEO of Lampix, a glass-less augmented reality and smart surface company based in San Francisco and New York.

I am also the founder and Editor in Chief of Lending Times, and a partner at LunaCap Ventures, an early hybrid growth fund.

Previously I built and sold 5+ companies in Fintech, Exotic Cars and Craft Beer. I built the #1 fastest growing company in Boston in 2011, and my companies were in Inc500/5000 for 4 years in a row.

I was born in Romania and grew up in France.

Add Comment

Click here to post a comment

Your email address will not be published. Required fields are marked *