Industry


Ink Lines and Machine Learning

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Pav Grochola is a Effects Supervisor at Sony Pictures Imageworks (SPI) and was co-effects supervisor on the Oscar winning Spiderman: Into the Spiderverse (along with Ian Farnsworth). He was tasked with solving how to produce natural looking line work for the film. A critical visual component for successfully achieving the comic book illustrative style, in CGI, was the creation of line work or "ink lines". SPI in testing discovered any approach that involves creating ink lines based on procedural "rules" (for example toon shaders) were ineffective in achieving the natural look that was wanted. The fundamental problem is that artists simply do not draw based on limited'rule sets' or guidelines.


Artists Machine Intelligence Grants by Google Arts & Culture Lab, Google AI Experiments with Google

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As part of Google's ongoing commitment to support ambitious computer science research and the arts, Google Arts & Culture, in collaboration with Google AI, invite proposals from contemporary artists working with machine learning in their art practices. Artists Machine Intelligence (AMI) grants will support six artists with technical mentorship, core Google research, and funding. Artists will have the opportunity to work with Google creative technologists to develop and produce artworks over the course of a five-month period. Mentorship may cover technical processes like data collection and analysis, to pipeline design, and model deployment, and includes access to core Google U/X and technical research in generative and decentralized machine learning, computer vision, and natural language processing. Apart from any Google background IP (if relevant), artists will own IP of their artwork.


How AI Could Track Allergens on Every Block NVIDIA Blog

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As seasonal allergy sufferers will attest, the concentration of allergens in the air varies every few paces. A nearby blossoming tree or sudden gust of pollen-tinged wind can easily set off sneezing and watery eyes. But concentrations of airborne allergens are reported city by city, at best. A network of deep learning-powered devices could change that, enabling scientists to track pollen density block by block. Researchers at the University of California, Los Angeles, have developed a portable AI device that identifies levels of five common allergens from pollen and mold spores with 94 percent accuracy, according to the team's recent paper.


IBM's AI performs state-of-the-art broadcast news captioning

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Two years ago, researchers at IBM claimed state-of-the-art transcription performance with a machine learning system trained on two public speech recognition data sets, which was more impressive than it might seem. The AI system had to contend not only with distortions in the training corpora's audio snippets, but with a range of speaking styles, overlapping speech, interruptions, restarts, and exchanges among participants. In pursuit of an even more capable system, researchers at the Armonk, New York-based company recently devised an architecture detailed in a paper ("English Broadcast News Speech Recognition by Humans and Machines") that will be presented at the International Conference on Acoustics, Speech, and Signal Processing in Brighton this week. They say that in preliminary experiments it achieved industry-leading results on broadcast news captioning tasks. The system came with its own set of challenges, like audio signals with lots of background noise and presenters speaking on a wide variety of news topics.


The future of AI is collaborative

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Jordan French is a multi-media journalist on the editorial staff at TheStreet.com He is also the Founder and Executive Editor at Grit Daily News. Formerly an engineer and attorney he represented the "People of the United States" in energy market manipulation cases as an enforcement attorney at the Federal Energy Regulatory Commission. As an engineer he worked on the Mars Gravity Biosatellite Program and later co-founded BeeHex, Inc., the personalized nutrition and robotics company that popularized 3D-printed pizza. The author of forthcoming book, The Gritty Entrepreneur, he is a frequent public speaker, technology evangelist and media moderator.


Google deploys AI software to clean 'trashy videos' from YouTube - Express Computer

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YouTube is littered with extreme and misleading videos, and the company has been criticised for not doing enough to limit the dreck. But one place the Google unit has managed to clean up is YouTube's homepage. Behind the scenes, Google has deployed artificial intelligence software that analyses reams of video footage without human help, deciphers troubling clips and blocks them from the homepage and home screen of the app. Its internal name is the "trashy video classifier," according to three people familiar with the project. The system, which has not been reported before, plays a key role in attracting and keeping viewers on YouTube's homepage, building a foundation for a flurry of new advertising coming to the video service.



Discovering The Power Of The Cloud For Artificial Intelligence

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Business loves buzzwords, and there's been no bigger buzzword recently than artificial intelligence. AI, of course, lets companies optimize their operations, business models and customer experiences around data-driven insights, while developing products and services that align more closely with customer needs. Now that leading cloud service providers are providing AI-driven machine learning and deep learning training platforms--customized to business user data and accessed as cloud-hosted application programming interfaces--companies of all sizes can seize the benefits of AI. By offering an alternative to on-premise AI solutions, cloud providers are giving small businesses the same advantages their larger counterparts are looking to exploit. Among the valuable AI tools at their disposal are natural language processing, image recognition, translation, search functions and data analytics.


Artificial intelligence to aid Finnair efficiency

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Artificial intelligence firm, Silo.AI, along with Finnair have created machine learning AI program that will allow for better prediction of potential interference to air traffic. This groundbreaking program can be utilized to gauge weather conditions that could affect flight punctuality. This way airlines will be more prepared for unusual circumstances. Flight promptness is probably the most important aspect that impacts the customer's satisfaction, and weather conditions play a big role in determining this factor. Now Silo.AI has provided an answer, making it a lot easier for Finnair be more organized when it comes to these influential scenarios.


Surgical robots, new medicines and better care: 32 examples of AI in healthcare

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Artificial intelligence simplifies the lives of patients, doctors and hospital administrators by performing tasks that are typically done by humans, but in less time and at a fraction of the cost. One of the world's highest-growth industries, the AI sector was valued at about $600 million in 2014 and is projected to reach a $150 billion by 2026. Whether it's used to find new links between genetic codes or to drive surgery-assisting robots, artificial intelligence is reinventing -- and reinvigorating -- modern healthcare through machines that can predict, comprehend, learn and act. Check out these 32 examples of AI in healthcare. In 2015, misdiagnosing illness and medical error accounted for 10% of all US deaths. In light of that, the promise of improving the diagnostic process is one of AI's most exciting healthcare applications.