- What’s your AI IQ?
- What’s your AI IQ?
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- NVIDIA helps the US build an AI for cancer research
- The AI will also automatically extract and study “millions” of patient records to understand how cancer spreads and reoccurs, and accelerate the simulation of protein interactions to see how they create the conditions for cancer.
- CANDLE will tackle three core problems.
- Microsoft isn’t the only big-name tech company using AI to fight cancer .
- The partners haven’t said when they expect CANDLE to be ready, and it could be a while after that happens before you see the practical results.
Microsoft isn’t the only big-name tech company using AI to fight cancer. NVIDIA is partnering with the US Department of Energy and the National Cancer Institute…
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- The software uses a deep-learning algorithm that was trained on two million unlabeled videos amounting to a year’s worth of screen time.
- Posted by Shane Hinshaw in categories: information science , robotics/AI , transportation
- The new software is claimed to be more accurate, by producing up to 32 frames per second and building out entire scenes in one go.
- The technology is still bare-bones, but could one day make for smarter self-driving cars that are better prepared for the unexpected, among other applications.
- Well, scientists at MIT have just trained machines to do the same thing, with artificial intelligence software that can take a single image and use it to to create a short video of the seconds that followed.
MIT’s deep-learning software produces videos of the future
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- DeepMind is using dreams in a parallel fashion, accelerating the rate at which an AI learns by focusing on the negative or challenging content of a situation within a game.
- A snapshot of the method published by the DeepMind researchers to enable AI “dreams”.
- You might ask why AI “dreams” are necessary given that robots can already dominate humans in most games such as Chess and Go.
- Google’s DeepMind AI gives robots the ability to dream
- One of the primary discoveries scientists made when seeking to understand the role of dreams from a neuroscientific perspective was that the content of dreams is primarily negative or threatening.
Thanks to Google’s DeepMind AI, Robots can now dream, significantly increasing the speed at which they can learn and ultimately …
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Algorithms have become part of our daily lives and can be found in any aspect of business. What are the algorithms every data scientist should know?
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- Don't miss out on your chance to save for Bank Innovation 2017!
- JPMorgan Chase’s Adam Carson to Do Fireside Chat at Bank Innovation 2017 November 28, 2016
- In the segment, host Brett King, is at the IBM World of Watson that took place Oct. 24-27 in Las Vegas.
- Swipe Your Mug, Refill, Repeat November 23, 2016
- He talks to the scientists and engineers working on Artificial Intelligence to augment our money – to make it move faster, smarter, better.
In this segment, host Brett King, is at the IBM World of Watson that took place Oct. 24-27 in Las Vegas. He talks to the scientists and engineers working on
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- News New neural-network algorithm learns directly from human instructions instead of examples
- For example, you could train a neural network to identify sky in a photograph by showing it hundreds of pictures with the sky labeled.
- Abstract of Hair Segmentation Using Heuristically-Trained Neural Networks
- Humans conventionally “teach” neural networks by providing a set of labeled data and asking the neural network to make decisions based on the samples it’s seen.
- Applying the method to the binary classification of hair versus nonhair patches, we obtain a 2.2% performance increase using the heuristically trained NN over the current state-of-the-art hair segmentation method.
Conventional neural-network image-recognition algorithm trained to recognize human hair (left), compared to the more precise heuristically trained algorithm
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- QS ranks MIT the world’s top university for 2016-17
- Given a still image from a scene, the CSAIL team’s deep-learning algorithm can create a brief video that simulates the future of that scene.
- At forum, MIT community tackles tough ethical questions of climate change
- Given a still image, CSAIL deep-learning system generates videos that predict what will happen next in a scene.
- A new algorithm generates videos using a series of neural networks.
Researchers at MIT’s Computer Science and Artificial Intelligence Lab have developed a deep-learning algorithm that, given a still image from a scene, can create a brief video that simulates the future of that scene.
Continue reading “Creating videos of the future”
- CNN buys Casey Neistat’s Beme app, brings the YouTuber in-house
- Sphero’s BB-8 wearable brings Force control to home automation with IFTTT support
- The Das Keyboard Prime 13 brings the gaming keyboard to the board room
- Uber’s China app is now separate from its global app – and a nightmare for foreigners
- Insta360 Air looks to bring affordable 360 video to Android phones
Who needs a smart car when you have a cool car? The Dashbot is a $49 add on for your vehicle that allows you to interact with your phone and Alexa while..
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- The A.I. can calculate the best maneuvers in a complex, dynamic environment, over 250 times faster than its human opponent can blink.
- The guy knows what he’s doing.
- A.I. Downs Expert Human Fighter Pilot In Dogfight Simulation
- In the military world, fighter pilots have long been described as the best of the best.
- After hour-long combat missions against ALPHA, Lee says,”I go home feeling washed out.
A University of Cincinnati doctoral graduate has developed an A.I. fighter pilot that has outperformed expert military pilots in flight simulations.
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