Headlines are filled with disembodied, etherial AIs that miraculously figure stuff out like babies. Reporters are partly to blame for the bad quality of AI coverage, but so are the companies that refuse to talk in concrete terms about what they're actually doing.
Xilinx hopes to take a big chunk of the market for semiconductors that process machine learning inference tasks by convincing developers it's not only about the neural network performance. It's about the entire application.
Amnon Shashua, head of Intel's Mobileye division, is charged with transforming the chip giant into a service provider for autonomous fleets of robo-taxi. Shashua spoke with ZDNet about the two phases of autonomous mobility, and the shortcomings of today's machine learning.
One of Uber's experts in building knowledge graphs, Joshua Shinavier advises fellow data scientists that "real data is messy, but the fact is, if you want to build an enterprise knowledge graph, you have to deal with it."
Testing the new, enlarged version of OpenAI's GPT-2 code on my computer, the flashes of brilliance in the code are mixed with a lot of gibberish. Some other signal is needed to train this neural net to develop coherence in written language.
Google DeepMind co-founder and CEO Demis Hassabis is relentless in his conviction and his curiosity about intelligence and machines. "The philosophy of what we are doing is something I think about a lot," he says.
As neural networks scale to dozens of layers and billions of parameters, Facebook offers greater parallelism for models with PyTorch 1.1.
You should be skeptical of current attempts to make a quantum computer that enhances artificial intelligence.
Rather than simply being scared of “intelligent machines,” say researchers at MIT’s Media Lab, society needs to study algorithms with a multi-disciplinary approach akin to the field of ethology.
To machine learning pioneer Terry Sejnowski, the mathematical technique called stochastic gradient descent is the “secret sauce” of deep learning, and most people don’t actually grasp its true significance.