Posted by Laura Downs and Anthony Francis, Software Engineers, Robotics at Google Many recent advances in computer vision and robotics rely on deep learning, but training deep learning models requires a wide variety of data to generalize to new scenarios.…
With conventional methods, it is extremely time-consuming to calculate the spectral fingerprint of larger molecules. But this is a prerequisite for correctly interpreting experimentally obtained data. Now, a team has achieved very good results in significantly less time using self-learning…
The rise of artificial intelligence (AI) and machine learning (ML) has created a crisis in computing and a significant need for more hardware that is both energy-efficient and scalable. A key step in both AI and ML is making decisions…
The skin of cephalopods, such as octopuses, squids and cuttlefish, is stretchy and smart, contributing to these creatures’ ability to sense and respond to their surroundings. Scientists have harnessed these properties to create an artificial skin that mimics both the…
Engineers built a new artificial intelligence chip, with a view toward sustainable, modular electronics. The chip can be reconfigured, with layers that can be swapped out or stacked on, such as to add new sensors or updated processors. Read More
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The post The opportunity at home – can AI drive innovation in personal assistant devices and sign language? appeared first on The AI Blog. The post The opportunity at home – can AI drive innovation in personal assistant devices and…
The post Singapore develops Asia’s first AI-based mobile app for shark and ray fin identification to combat illegal wildlife trade appeared first on The AI Blog. The post Singapore develops Asia’s first AI-based mobile app for shark and ray fin…
Posted by Basil Mustafa, Research Software Engineer and Carlos Riquelme, Research Scientist, Google Research, Brain team Sparse models stand out among the most promising approaches for the future of deep learning. Instead of every part of a model processing every…