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Nvidia Debuts New Chips in Race With Intel to Provide AI Engine

#artificialintelligence

Nvidia Corp. announced new processors Monday to try to embed its products in artificial-intelligence systems that are increasingly becoming part of daily life. The chipmaker, which dominates in video gaming, rolled out graphics chips for running software that makes split-second decisions needed when everything from phones to cars to internet search engines respond to inputs such as speech, images and moving objects. The company said its new Tesla P4 chip is for servers used in massive data centers. Based on its Pascal design, the P4 is more than three times as efficient at processing images than its predecessor and 40 times more efficient than Intel server chips, according to Nvidia. Another new chip, called the P40, is designed for more-powerful single computers, such as supercomputers.


Seal Software Unveils New Version of its Contract Discovery and Analytics Solution to Empower Fortune 500 Business Users

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SAN FRANCISCO--(BUSINESS WIRE)--Today Seal Software unveiled a new version of its leading contract discovery and analytics solution: Version 5.0. The new version introduces "Analyze This Now" (ATN), an add-in for Microsoft Word that allows business users to leverage Seal's powerful contract data extraction and review capabilities from within the familiar MS Word interface in order to shorten contact cycle times, reduce risk and lower processing costs. The release also extends Seal's machine learning framework and interface so Seal's technology can be used by business users to train the system for complex data extractions, improving extraction speed, accuracy and shortening time-to-value. "Seal Version 5.0 was developed with business users in mind, allowing them to easily harness the power of Seal without extensive education or resources. We want those closest to the business objectives in procurement, legal, M&A, and sales to use our system without extensive training and data management skills," said Ulf Zetterberg, co-founder and CEO of Seal Software.


Artificial Intelligence, Machine Learning, and Cognitive Computing: Market and Outlook for Communications, Applications, Content and Commerce 2016 - 2021

#artificialintelligence

Overview: Artificial Intelligence is a technology that uses machine intelligence and human like thinking ability to process historical, and increasingly, real-time data to make predictions, recommendations, and decisions. AI is not a single technology but a convergence of various technologies, statistical models, algorithms, and approaches. Machine Learning is a subfield of computer science that evolved from the study of pattern recognition and computational learning theory in AI. Cognitive Computing involves self-learning systems that use data mining, pattern recognition and natural language processing to mimic the way the human brain works. AI is increasingly integrated in many areas including Internet search, entertainment, commerce applications, content optimization, and robotics.


Announcing Sentient Ascend - Evolutionary AI Reinvents Conversion Rate Optimization

#artificialintelligence

In one example, Classic Car Liquidators used Ascend to find the best design for its affiliate revenue program, testing copy, layout, format and image changes of multiple items. The total number of potential designs was 28,800. Ascend determined the best option in only three weeks, and 40,000 visitors, lifting performance by 557%. "Sentient is bringing to market a disruptive product that can easily be described as a modern marketing director's dream," said Courtney Connell, marketing director for Cosabella, another Ascend customer. "Their CRO platform is allowing us to test all variables at once without human intervention, fear of contamination or traditional timelines. I see this type of solution sending tremors throughout the entire industry and ultimately shifting all conversion related benchmarks into hyper-drive."


Deep Learning Sheds New Light on an Ancient Mystery According to Robert G. Cathcart

#artificialintelligence

Still think the Great Pyramid is an ancient tomb? Some experts in deep learning may beg to differ. They have discovered that a particular application of deep learning methodology applied to the ancient structures on the Giza Plateau, including the Great Pyramid, may in fact show that it is a three dimensional process diagram. "We were using a deep learning methodology that helps us identify and categorize unknown symbols and processes. We thought it would be fun to use it on something everyone knows. We were amazed to find that the Giza Plateau may in fact be a three dimensional process diagram."


IBM Watson Serves Cognitive Insights at the 2016 US Open Tennis Tournament

#artificialintelligence

IBM (NYSE: IBM) and the United States Tennis Association (USTA) today announced that IBM Watson is coming to the US Open Tennis Championships for the first time via a new cognitive concierge feature being piloted within the tournament's official mobile apps to enhance the fan experience at the Billie Jean King National Tennis Center. The US Open mobile app Guest Services companion will pilot a Watson-enabled discovery tool that allows fans to input natural language questions and receive immediate responses about a range of tournament topics, such as transportation and directions, food and drink options, on-site services and facilities, as well as other topics. By tapping into the Natural Language API from the Watson platform, the AI-infused app will enable fans to ask questions in natural language and get the information they need to plan and navigate their tournament experience. For example, fans can ask questions like, "Where can I get a soda?" or "Where are the taxi stands?" Due to Watson's machine learning capabilities, the app also continuously learns from previous interactions helping further refine its responses over time.


Fintech venture takes on hedge funds with earnings estimates derived from big data

The Japan Times

A Japanese startup is entering the equity research business in a bid to challenge the dominance of securities firms by using computers to crunch vast troves of information and predict companies' earnings. Nowcast Inc., a financial-technology venture formed last year out of the University of Tokyo, will begin providing automated earnings estimates of consumer goods makers as soon as October by analyzing millions of transactions at retail stores, Chief Executive Officer Ryota Hayashi said. The move comes as pressure from Japan's financial regulator prompts brokerages to move away from a long-standing practice of gleaning information from companies about their performance before earnings figures are released. Hayashi sees this as an opportunity for Nowcast to find other ways to estimate companies' results and sell the research to active investors such as hedge funds. "This doesn't mean analysts won't be needed anymore," Hayashi said in an interview.


NVIDIA Unveils Palm-Sized, Energy-Efficient AI Computer for Self-Driving Cars

#artificialintelligence

BEIJING, CHINA - GPU Technology Conference China -- NVIDIA (NASDAQ: NVDA) today unveiled a palm-sized, energy-efficient artificial intelligence (AI) computer that automakers can use to power automated and autonomous vehicles for driving and mapping. The new single-processor configuration of the NVIDIA DRIVE PX 2 AI computing platform for AutoCruise functions -- which include highway automated driving and HD mapping -- consumes just 10 watts of power and enables vehicles to use deep neural networks to process data from multiple cameras and sensors. It will be deployed by China's Baidu as the in-vehicle car computer for its self-driving cloud-to-car system. DRIVE PX 2 enables automakers and their tier 1 suppliers to accelerate production of automated and autonomous vehicles. A car using the small form-factor DRIVE PX 2 for AutoCruise can understand in real time what is happening around it, precisely locate itself on an HD map and plan a safe path forward.


Larry Berman: How Artificial Intelligence is changing dynamics in the investment world

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Ray Dalio, the founder of Bridgewater Associates, the largest hedge fund in the world, hired IBM's Watson programming team to incorporate artificial intelligence into the investment process. Later this year, I will be doing something similar so stay tuned to learn more about this exciting endeavor. Today, we have Jamie Wise from BUZZ Indexes, based in Toronto, who recently launched an Artificial Intelligence driven ETF based index fund BUZ (US). The investment process uses natural language processing software and artificial intelligence to scour the Internet for tweets, blogs, and searches for company names. One of the most interesting things is that the software is able distinguish between someone typing amazon when talking about a bad product they bought on line and AMZN and a bad outlook for the stock.


A 3D-printed autonomous car, and more in the week that was

Engadget

That's the idea behind Local Motors' latest vehicle, which features a 3D-printed body, a windshield video screen and no steering wheel. Meanwhile, OX launched the world's first all-terrain flat-pack truck, which can be quickly shipped anywhere in the world. Cannae Corporation announced plans to test an "impossible" zero-exhaust microwave thruster that could revolutionize space travel. And Electra Meccanica launched SOLO, an affordable three-wheeled electric vehicle for one. In energy news, this week Sonos Motors announced plans to debut a solar-powered car within two years, and Soel Yachts unveiled a sun-powered motorboat that glides through the water without making a sound.