
August 21, 2019
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Neil Jacobstein gave a workshop on AI and Machine Learning Implementation at the 2019 Singularity Summit. It turns out there is a fatal flaw in most companies approaches to machine learning, the analytical tool of the future. 85% of the …

August 20, 2019
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In 2018, OpenAI discovered that the amount of compute used for AI training doubles every 3.5 months. By comparison, the number of transistors per square inch on integrated circuits only doubles every 18 months, a.k.a Moore’s Law. The best human …

August 20, 2019
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Neil Jacobstein just gave a talk on Artificial Intelligence at the 2019 Singularity Summit. He described the advance in robotics and artificial intelligence. He reviewed the number of training steps needed for deep learning systems like Alpha Go Zero and …

August 2, 2019
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Facebook, OpenStreetMap, and Map with AI are creating tools that will enable vastly faster mapping of unmapped roads and other unmapped feature. Artificial intelligence to predict features on high-resolution satellite imagery; these features are then populated in our RapiD map …

July 19, 2019
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Drishti is a company that is helping to analyze the efficiency of actions performed in factories. Drishti uses computer vision to digitize manual human actions. They are able to analyze video and not just object recognition in a single picture. …

July 17, 2019
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Neuralink is recruiting people to work on its brain-machine interface system. It is a less invasive system with about 10,000 electrodes in a neural-lace. Each chip has 1,000 electrode connections and they think can use up to about ten chips …

July 14, 2019
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One of the main speculations about future technology is uploading. This is where our minds are copied in exact detail from our biological physical bodies and then created in artificial bodies. Alexander Bolonkin has posited many kinds of technology over …

July 13, 2019
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ProteinQure uses quantum computing, molecular simulations and reinforcement learning to engineer new drugs. They combine state-of-the-art structure-based algorithms, including molecular dynamics simulations and machine learning. Their design platform explores vast regions of sequence space and predict functional properties of therapeutics …