We may be closer to understanding how AI models think, giving researchers new tools to ensure they don't go rogue.
Researchers have developed an attention-enhanced residual network that converts structural vibration data into Markov ...
An incendiary post from a prominent researcher suggests that AI is actually more predictable than we thought.
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How artificial neural networks build their own learning machinery
As artificial intelligence becomes more powerful, its ability to handle humanlike tasks is undeniable. Artificial neural ...
Has the interpretability of neural networks been solved by AI? 90% of neurons have only one function
The seemingly chaotic neurons consistently operate in a remarkably precise, well-organized manner—this fundamental biological ...
A new graph neural network framework evaluates dance training in real time and automatically adapts practice plans, achieving ...
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Neural network study sheds light on how AI chatbots 'reason' like humans
When humans write sentences or solve math problems, they are thinking symbolically—each number, variable or word is expressed ...
The writer Malcolm Gladwell popularized the term "tipping points" to refer to the moment when a trend or social behavior ...
A three-year project led by Joshua Burby will build neural network models to explore new stellarator designs and lower the ...
Goodfire researcher Nick Cammarata argues nearly 90% of neurons in models like Qwen3-32B have one clear role, up from about 2 ...
MarketsandMarkets™ projects the global AI in drug discovery market to grow from USD 5.09 billion in 2026 to USD 17.56 billion ...
Originally introduced last week, Beam is one of the industry’s most advanced open-source LLMs. It features about 500 billion ...
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