The agent acquires a vocabulary of neuro-symbolic concepts for objects, relations, and actions, represented through a ...
Model predicts effect of mutations on sequences up to 1 million base pairs in length and is adept at tackling complex ...
The capacity of super-large models to synthesize responses to sophisticated requests represents a watershed moment in ...
(2026) AI Assisted Material Selection Framework for Corrosion Resistant Steels in Onshore Oil and Gas Pipelines. Open Journal ...
Machine learning holds great promise for classifying and identifying fossils, and has recently been marshaled to identify trackmakers of dinosaur ...
For example, a Convolutional Neural Network (CNN) trained on thousands of radar echoes can recognize the unique spatial signature of a small metallic fragment, even when its signal is partially masked ...
Deep neural networks (DNNs) have become a cornerstone of modern AI technology, driving a thriving field of research in ...
Transformer on MSN

Teaching AI to learn

AI"s inability to continually learn remains one of the biggest problems standing in the way to truly general purpose models. Might it soon be solved?
Google Discover is largely a mystery to publishers and the search marketing community even though Google has published ...
Humans& Inc., a three-month-old artificial intelligence startup, today announced that it has closed a $480 million seed round ...
The rise of AI has given us an entirely new vocabulary. Here's a list of the top AI terms you need to learn, in alphabetical order.
WiMi Studies Quantum Hybrid Neural Network Model to Empower Intelligent Image Classification BEIJING, Jan. 15, 2026––WiMi Hologram Cloud Inc. (NASDAQ: WiMi) ("WiMi" or the "Company"), a leading global ...