DeepMind


IBM is teaching AI to behave more like the human brain

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What's more, the human mind is especially adept at performing relational reasoning, which relies on logic to build connections between past experiences to help provide insight into new situations on the fly. Statistical AI (ie machine learning) is capable of mimicking the brain's pattern recognition skills but is garbage at applying logic. But what if we could combine the best features of the human brain's computational flexibility with AI's massive processing capability? IBM's attention algorithm essentially informs the neural network as to which inputs provide the highest reward.


AI Startup Invents Trick For Robots To More Efficiently Teach Themselves Complex Tasks

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The trick -- the company is calling it "concept networks" -- massively increases the efficiency of reinforcement learning. In a recently published paper, Bonsai's AI researchers describe how concept networks function by breaking out an objective into distinct problem areas. To teach a robot how to pick up and stack a block, for example, Bonsai has broken the task out into five concepts -- reach, orient, grasp, move and stack. DeepMind's paper describing its reinforcement learning approach takes on a similar grasping and stacking task with a robotic arm, but Bonsai's concept networks makes for a hugely more efficient system.


Facebook heads to Canada in search of the next big AI advance

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Several leading figures in AI, including LeCun, have studied or taught at Canadian universities. Reinforcement learning builds on deep learning to let machines learn through experimentation. Michael Bowling, a U.S.-born computer scientist who leads a lab at the University of Alberta that has produced cutting-edge poker-playing machines, says the new Facebook lab simply shows that Canada already leads the rest of the world in AI. Indeed, after seeing AI researchers snapped up by big U.S. companies in recent years, Canada may well hope that the environment fostered by new labs, including the one in Montreal, will eventually produce companies that rival the likes of Facebook.


Facebook heads to Canada in search of the next big AI advance

#artificialintelligence

Several leading figures in AI, including LeCun, have studied or taught at Canadian universities. Reinforcement learning builds on deep learning to let machines learn through experimentation. Michael Bowling, a U.S.-born computer scientist who leads a lab at the University of Alberta that has produced cutting-edge poker-playing machines, says the new Facebook lab simply shows that Canada already leads the rest of the world in AI. Indeed, after seeing AI researchers snapped up by big U.S. companies in recent years, Canada may well hope that the environment fostered by new labs, including the one in Montreal, will eventually produce companies that rival the likes of Facebook.


Artificial intelligence could soon revolutionize the way doctors treat cancer

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IBM's supercomputer Watson has been applying machine learning to personalized cancer treatment for some time. After pouring over 600,000 medical reports and 1.5 million anonymized patient records and clinical trials, the data should help define the clearest path forward for doctors. Google's DeepMind is learning how to better apply radiotherapy to cancer patients. To transform this process, DeepMind will analyze 700 anonymized scans from former patients suffering from head and neck cancers.


Treating cancer, stopping violence… How AI protects us

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Researchers at Makerere University in Kampala, Uganda, have teamed up with plant disease experts to develop an automated system aimed at combating cassava diseases. "Some of these diseases are really hard to recognise and require different action," explains Ernest Mwebaze, a computer technology researcher leading the project. Cancer causes more than 8.8 million deaths worldwide and 14 million people are diagnosed with some form of cancer every year. DeepMind has teamed up with UK National Health Service doctors at University College London Hospitals to train its AI help plan treatments for cancer by identifying areas of healthy tissue from tumours in head and neck scans.


New Breakthroughs from DeepMind – Relational Networks and Visual Interaction Networks

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When tested on the CLEVR dataset (a benchmark for determining an AI system's ability to reason about visual data), RN-augmented networks fared better than humans at 95.5% accuracy. Another task that separates human cognition with computer systems is our ability to predict the near future based on our understanding of the physical relationships. DeepMind's paper on Visual Interaction Network (VIN) attempts to train computers on the physics of objects and their relationships based on their position and time. Rather, VIN takes in the states of the objects and predicts their positions in the future using its learned system of physical rules.


Anything you can do, AI can do better

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A global survey of AI experts anticipates the technology will outperform humans in many activities over the next ten years. A decrease in human presence in the workplace causes a decrease in human-created mess, meaning machines and AI robot presence will drastically reduce or eliminate the need for building maintenance positions. A lot of people want to believe that the'care' part of healthcare isn't as easily automated and plenty of IT experts anticipate job safety for careers requiring emotional intelligence (EQ). "AI and robots can automate intellectual and physical tasks, but they won't be human, and some tasks require the worker to be human", said Pearson in a Futurizon blog.


Forward Partners raised £60 million from BlackRock to invest in artificial intelligence

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Early stage UK venture capital firm Forward Partners has raised £60 million from a single institutional investor, BlackRock, and plans to invest in one of the hottest areas in tech -- artificial intelligence (AI). Brisbourne plans to avoid startups like DeepMind, the AI firm acquired by Google for £400 million in 2014. Matt Wichrowski, currently head of funding at Entrepreneur First, noted in a 2015 blog post that pureplay artificial intelligence startups tend to make poor VC investments because they exit too early. Forward Partners' latest fund focus comes as early partner Martyn Holman leaves the business.


Forward Partners raised £60 million from BlackRock to invest in artificial intelligence

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Early stage UK venture capital firm Forward Partners has raised £60 million from a single institutional investor, BlackRock, and plans to invest in one of the hottest areas in tech -- artificial intelligence (AI). Brisbourne plans to avoid startups like DeepMind, the AI firm acquired by Google for £400 million in 2014. Matt Wichrowski, currently head of funding at Entrepreneur First, noted in a 2015 blog post that pureplay artificial intelligence startups tend to make poor VC investments because they exit too early. He has increasing competition: Venture capitalists invested $5 billion (£3.7 billion) in AI startups globally in 2016, up around 65% year on year, according to CBInsights.