The work that we’re doing brings AI closer to human thinking,” said Mick Bonner, who teaches cognitive science at Hopkins.
The evolution of software architecture is contributing to increasing energy consumption.
Machine learning is transforming many scientific fields, including computational materials science. For about two decades, scientists have been using it to make accurate yet inexpensive calculations ...
Two important architectures are Artificial Neural Networks and Long Short-Term Memory networks. LSTM networks are especially useful for financial applications because they are designed to work with ...
Artificial intelligence speeds metasurface design from unit cells to full optical systems, enabling compact imaging, AR and ...
Rivian Automotive, Inc. ( RIVN) Discusses AI-Centric Approach to Vehicle Autonomy and Technology Roadmap December 11, 2025 12:00 PM EST Please welcome RJ Scaringe, Founder and Chief Executive Officer ...
Morning Overview on MSN
Scientists just found a startling secret inside the human mind
The human mind is turning out to be far stranger and more intricate than the tidy diagrams in old biology textbooks ever ...
Morning Overview on MSN
Supercomputer builds one of the most realistic virtual brains yet
The race to understand the brain has just crossed a new threshold, with a supercomputer-driven model that behaves less like a ...
Tech Xplore on MSN
Overparameterized neural networks: Feature learning precedes overfitting, research finds
Modern neural networks, with billions of parameters, are so overparameterized that they can "overfit" even random, ...
Recent advances in neuroscience, cognitive science, and artificial intelligence are converging on the need for representations that are at once distributed, ...
This correspondence between brain state and brain responsiveness (statedependent responses) is outlined at different scales from the cellular and circuit level, to the mesoscale and macroscale level.
Occam’s razor is the principle that, all else being equal, simpler explanations should be preferred over more complex ones. This principle is thought to guide human decision-making, but the nature of ...
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