News

India Is Launching a Rover to the Moon to Look for Nuclear Fusion Fuel

Tesla Battery Caught Fire Twice After Fatal Crash, Investigation Finds

Don’t Learn TensorFlow! Start with Keras or PyTorch Instead

So, you want to learn deep learning? Whether you want to start applying it to your business, base your next side project on it, or simply gain marketable skills – picking the right deep learning framework to learn is the essential first step towards reaching your goal. We strongly recommend that you pick either Keras or PyTorch.

Amazon buys PillPack, an online pharmacy, for just under $1B

Kroger will use autonomous vehicles to deliver groceries this fall

How BuzzFeed Migrated from a Perl Monolith to Go and Python Microservices

Neural scene representation and rendering

There is more than meets the eye when it comes to how we understand a visual scene: our brains draw on prior knowledge to reason and to make inferences that go far beyond the patterns of light that hit our retinas. For example, when entering a room for the first time, you instantly recognise the items it contains and where they are positioned. If you see three legs of a table, you will infer that there is probably a fourth leg with the same shape and colour hidden from view.

Intel’s New Path to Quantum Computing

Intel’s director of quantum hardware, Jim Clarke, explains the company’s two quantum computing technologies The limits of Tangle Lake’s technology Silicon spin qubits and how far away they are The importance of cryogenic control electronics Top quantum computing applications What problems keeps him up at night AI vs. Quantum Computing: which will be more important? IEEE Spectrum: What’s special about Tangle Lake?

AI chip startup Wave to buy Silicon Valley old-timer MIPS

AI Nationalism

The last few years have seen developments in machine learning research and commercialisation that have been pretty astounding. As just a few examples: Image recognition starts to achieve human-level accuracy at complex tasks, for example skin cancer classification. Big steps forward in applying neural networks to machine translation at Baidu, Google, Microsoft etc.