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Experts say we Need to Start Over to Build True Artificial Intelligence

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The issue lies with a prevalent tactic in AI development called "back propagation". Geoffrey Hinton has been called the "Godfather of Deep Learning". It relates directly to how AIs learn and store information. Since its conception, back propagation algorithms have become the "workhorses" of the majority of AI projects.


Nvidia hails a robotaxi with next step in AI computing

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It will be the first of its kind among the autonomous vehicle market, as Nvidia race ahead and offer passengers an on demand service to take them to their destination and giving accessibility to everyone including elderly and disabled passengers. The technology making robotaxis a possibility is Nvidia's Drive PX AI platform, dubbed Pegasus, which delivers all the capabilities of a data centre in a supercomputer the size of a license plate. The size, cost and power demands of existing AI computing solutions, Nvidia claims, makes them impractical for production vehicles. The fleet will use ZF's ProAI self-driving platform for the vehicles, based on Nvidia's Drive PX AI platform.


NVIDIA: Open Source Deep Learning is Powering the AI Revolution

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In this chapter of our thought leadership series, AI Business caught up with Kari Ann Briski, the Director of Deep Learning Software Product at NVIDIA. Deep learning is being applied to solve many big data problems from computer vision, image recognition, speech recognition, and autonomous vehicles. "I've personally seen so many fun and interesting AI applications, from large organizations to small businesses and individuals who previously knew nothing about deep learning," Kari explains. "NVIDIA heavily contributes to open source projects, both in the frameworks (deep learning libraries) as well as posting neural networks that we have researched for specific AI applications.


What the CIA's Tech Director Wants from AI

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Dawn Meyerriecks is less worried about rival nation states might use AI to outflank the United States than about getting U.S. leaders to believe what AI is telling them. What do I need in order to make a really good assessment on the back-end because that tells me what sort of collection I need to raise confidence to go address national leadership?" Consider, on Monday, Kremlin-backed news site Sputnik ran a story about a new Russian supercomputer for deep learning, part of a "conversational" AI project called iPavlov. "The computing power is fundamentally important for deep learning," Mikhail Burtsev of the Moscow Institute of Physics and Technology told Sputnik.


Element AI, a platform for companies to build AI solutions, raises $102M

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Element AI -- a Montreal-based platform and incubator that wants to be the go-to place for any and all companies (big or small) that are building or want to include AI solutions in their businesses, but lack the talent and other resources to get started -- is announcing a mammoth Series A round of $102 million. They include Fidelity Investments Canada, Korea's Hanwha, Intel Capital, Microsoft Ventures, National Bank of Canada, NVIDIA, Real Ventures, and "several of the world's largest sovereign wealth funds." But the basic model is not: Element AI is tackling this problem essentially by leaning on trends in outsourcing: systems integrators, business process outsourcers, and others have built multi-billion dollar businesses by providing consultancy or even fully taking the reins on projects that businesses do not consider their core competency. Element AI says that initial products that can be picked up there include predictive modeling, forecasting models for small data sets, conversational AI and natural language processing, image recognition and automatic tagging of attributes based on images, 'aggregation techniques' based on machine learning, reinforcement learning for physics-based motion control, compression of time-series data, statistical machine learning algorithms, voice recognition, recommendation systems, fluid simulation, consumer engagement optimization and computational advertising.


10 Deep Learning Trends and Predictions for 2017 – Intuition Machine – Medium

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Intel's Nervana based chip will likely clock in at 30 teraflops by mid-2017. In late breaking news, AMD has revealed its new AMD Instinct line of Deep Learning accelerators. In the old days, we had monolithic DL systems with single analytic objective functions. Deep Learning systems and Unsupervised Learning systems are likely these new kinds of things that we have never encountered before.


MIT Crowns Nvidia as Smartest Company For Bitcoin, Ethereum & AI Development

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The list of "smart" companies produced by MIT included some of the most innovative companies in the technology and manufacturing sectors such as SpaceX, Tesla and Amazon but according to MIT Technology Review editor David Rotman, Nvidia's explosive growth in the AI and Blockchain markets gave the firm an edge over other companies. The Tesla P100 was distributed to researchers and developers at Microsoft, Facebook, Amazon and other leading technology companies that are leading deep learning research. Our new Pascal GPU (graphics processing unit) architecture will give a giant boost to deep learning, gaming and VR (virtual reality). The entrance of multi-billion dollar conglomerates such as Nvidia will help the Bitcoin mining industry and mining equipment manufacturing market to evolve at an exponential rate.


volvo-nvidia-partner-self-driving-technology-fully-autonomous-cars-may-be-launched-2557956

International Business Times

Smartphone chipmaker Nvidia has partnered with automotive safety company Autoliv and automotive company Volvo to develop self-driving software and hardware. "This cooperation with NVIDIA places Volvo, Autoliv, and Zenuity at the forefront of the fast-moving market to develop next generation autonomous driving capabilities and will speed up the development of Volvo's own commercially available autonomous drive cars," Håkan Samuelsson, President and Chief Executive of Volvo Cars, stated in the press release Tuesday. The press release further stated the companies will work together to create artificial intelligence-based deep learning solutions for object detection, recognition the anticipation of threats and safe navigation. The self-driven car developed by Nvidia, Volvo, Autoliv, and Zenuity, will use the Nvidia Drive PX2 artificial intelligence based self-driving system which was first showcased at Consumer's Electronic Show (CES) 2016.


Watch a Roborace's driverless car zooming around a track

Daily Mail

Roborace CEO Denis Sverdlov said the demonstration was a major milestone in the development of autonomous racing: 'Roborace is the only company in the world right now testing driverless technologies on city streets without a human in the car – this is something truly unique.' These include five lidars, two radars, 18 ultrasonic sensors, two optical speed sensors, six AI cameras, GNSS positioning and a powerful Nvidia Drive PX2 'brain' processor, capable of 24 trillion AI operations per second. Roborace first revealed the stunning 4.8-metre-long (15.7 ft), two-metre-wide (6.5 ft) vehicle at February's Mobile World Congress in Barcelona. Roborace first revealed the stunning 4.8-metre-long (15.7 ft), two-metre-wide (6.5 ft) vehicle at February's Mobile World Congress in Barcelona The cars include five lidars, two radars, 18 ultrasonic sensors, two optical speed sensors, six AI cameras, GNSS positioning and a powerful Nvidia Drive PX2 'brain' processor, capable of 24 trillion AI operations per second Roborace provides an open AI platform for companies to develop their own driverless software and push the limits in a safe environment.


Element AI, a platform for companies to build AI solutions, raises $102M

#artificialintelligence

Element AI -- a Montreal-based platform and incubator that wants to be the go-to place for any and all companies (big or small) that are building or want to include AI solutions in their businesses, but lack the talent and other resources to get started -- is announcing a mammoth Series A round of $102 million. They include Fidelity Investments Canada, Korea's Hanwha, Intel Capital, Microsoft Ventures, National Bank of Canada, NVIDIA, Real Ventures, and "several of the world's largest sovereign wealth funds." But the basic model is not: Element AI is tackling this problem essentially by leaning on trends in outsourcing: systems integrators, business process outsourcers, and others have built multi-billion dollar businesses by providing consultancy or even fully taking the reins on projects that businesses do not consider their core competency. Element AI says that initial products that can be picked up there include predictive modeling, forecasting models for small data sets, conversational AI and natural language processing, image recognition and automatic tagging of attributes based on images, 'aggregation techniques' based on machine learning, reinforcement learning for physics-based motion control, compression of time-series data, statistical machine learning algorithms, voice recognition, recommendation systems, fluid simulation, consumer engagement optimization and computational advertising.