software


How video games help improve real-world AI

#artificialintelligence

Take, for example, Artur Filipowicz, an AI researcher at Princeton University who's been trying to develop software for autonomous vehicles. Now, DeepMind can beat just about any top score on any Atari video game. Privately funded organization OpenAI has taken the world of video game-based AI development to new levels, with a piece of software it calls Universe. The future of video games in AI development is rich with potential, and we're just starting to explore its full capabilities.


Artificial Intelligence Tech Will Arrive in Three Waves

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Modria, which specializes in the creation of smart justice systems, took the job and devised an automated system that relies on the knowledge of lawyers and divorce experts. First wave AI systems are usually based on clear and logical rules. Well, it turns out that even'primitive' software like Modria's justice system and Google Maps are fine examples for AI. One year later, when DARPA opened Grand Challenge 2005, five groups successfully made it to the end of the track.


Intel Banks on Artificial Intelligence EE Times

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Last year, Intel Corp. acquired neural-network hardware maker Nervana and built Nervana's chip, integrating it with Intel's own on-processor deep-learning and artificial-intelligence (AI) capabilities. This month, Intel Capital invested in AI startups CognitiveScale, Aeye Inc., and Element AI. Intel is investing in AI startups, acquiring others, and blending the mix with its own AI expertise to ensure a leadership position in machine learning, deep learning, and brainlike neural networks based on its AI hardware and software. Element AI's new world Perhaps the most enigmatic of the AI startups in which Intel Capital has invested is Element AI, which claims to be conjuring an "AI-First World" that "elevates collective wisdom."


Machine learning and AI is changing how data science is leveraged

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The first is the shortage of data scientists -- the experts with programming skills, statistics and machine learning knowledge, and an understanding of the business. In doing so, DataRobot also opened the doors to business executives allowing them to use machine learning predictive analytics directly without involving data scientists. This includes data scientists, business analysts and business users. Start by identifying manageable yet impactful initial projects, develop focused small teams, move and learn quickly, celebrate success, and then scale-out as organisational skills and business needs dictate.


How I Built an AI to Sort 2 Tons of Lego Pieces

IEEE Spectrum Robotics Channel

I noticed that bulk unsorted Lego sells for roughly €10 per kilogram (about US $11/kg), boxed sets go for €40/kg, and collections of rare parts and Lego Technic pieces (the sort used to build complex mechanical creations) go for hundreds of euros per kilo. A camera captures images of individual pieces [second from top] and a neural net identifies them [second from bottom]. Air puffs from valves [bottom] knock sorted pieces into bins. I started building my neural net system in earnest.


Vincent Granville

@machinelearnbot

The data was stored in an hierarchical database (digital images based on aerial pictures, the third dimension being elevation, and ground being segmented in different categories - water, crop, urban, forest etc.) The data was stored in an hierarchical database (digital images based on aerial pictures, the third dimension being elevation, and ground being segmented in different categories - water, crop, urban, forest etc.) Markov Chains Monte Carlo modeling (Bayesian hierarchical models appied to complex cluster structures) Spatio-tempral models Environmental statistics: storm modeling, extreme value theory, and assessing leaks at the Hanford nuclear reservation (Washington State), using spatio-temporal models applied to chromium levels measured in 12 wells. Environmental statistics: storm modeling, extreme value theory, and assessing leaks at the Hanford nuclear reservation (Washington State), using spatio-temporal models applied to chromium levels measured in 12 wells.


Machine Learning Goes Viral In Oil Patch

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Using historical data from compressors with maintenance problems, the software pinpointed patterns and put online a system to inform the operator when there would be problems, Beck said. The technology has been used by a large oil and gas company to gain insight about the drillbit downhole. That's where column analytics--software tools that meld predictive models with collected data--come into play. Looking at the investor presentation slide decks of some of industry's large independents and integrated oil companies, Beck said companies are talking about how they are using data analytics to improve efficiency in the oil field, including in the Permian Basin.


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With new hardware, software, and services optimized for AI and high performance computing (HPC), HPE wants to make it faster and easier for businesses and scientific organizations to use data-based insights to drive innovation. The HPE Apollo 6000 Gen10 System is the "most secure HPC system in the world," the release said, and it has been re-tooled to be able to provide more than 300 teraflops per rack. The HPE Apollo sx40 System and the HPE Apollo pc40 System are both Intel Xeon Gen10 servers, with support for different kinds of GPUs. The new experience brings boosted firmware security, performance software from HPE, cluster management, and additional service enhancements that will make it simpler for businesses to derive value from their AI tools.


Why AI is the new electricity

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In fact, Moore's law continues to this day, because we keep creating new ways of looking at data. In the thousands of years between the dawn of humanity and the year 2003, humans created five exabytes of data. But this time, with a small amount of money and access to attainable AI, small companies can upend capital-intensive industries in a way that was unthinkable before. This new cognitive revolution, powered by AI like running water, sounds more like a whoosh.


Rise of AI-assisted art raises challenges notions of proprietary rights

The Japan Times

Artificial intelligence is finding its way into the world of music, literature and art, raising never-before-considered questions about a creators' role. A team of researchers from Nagoya University, led by engineering professor Satoshi Sato, caused a sensation in 2015 when a novel written by AI technology cleared the first round of a literary competition. The researchers first created a plot while the software wrote sentences based on it. The use of AI in creative endeavors, however, has raised questions about intellectual property.