Google AI researcher and piano player Pablo Castro knows that musicians can settle into a comfort zone. It’s something they can rely on in front of a paying audience, but it can also become boring and
Film colorization might be an art form, but it’s one that AI models are slowly getting the hang of. In a paper published on the preprint server Arxiv.org (“Deep Exemplar-based Video Colorization“), scientists
The folks at Google have devised AI capable of predicting which machine learning models will produce the best results. In a newly published paper (“Off-Policy Evaluation via Off-Policy Classification“)
The Transformer, a type of AI architecture introduced in a 2017 paper (“Attention Is All You Need“) coauthored by scientists at Google, excels at writing prose and product reviews, synthesizing voices,
Want to schedule an appointment? Just ask your phone. Need to turn on your bedroom lights? Google Home has you covered. Now a $49 billion market, voice-activated systems have gained popularity among consumers,
Do tensor networks ring a bell? They’re mathematical constructs increasingly used in machine learning to perform complex calculations, but a number of barriers stand in the way of their widespread adoption.
You may not have noticed, but two of the world’s most popular machine learning frameworks — TensorFlow and PyTorch — have taken steps in recent months toward privacy with solutions that incorporate federated
Convolutional neural networks (CNNs) — layers of functions (neurons) inspired by biological processes in the human visual cortex — are well-suited to tasks like object recognition and facial detection,