Large language models are remarkably capable, yet frustratingly opaque. When a model misbehaves — generating responses in the wrong language, repeating itself endlessly, or refusing safe requests — AI ...

an overcomplete dictionary of features from neural network activations. Architecture: x → encoder(x) = ReLU(W_enc @ (x - b_dec) + b_enc) → z z → decoder(z) = W_dec @ z + b_dec → x_hat - Bricken et al.

In case you've faced some hurdles solving the clue, Opposite of sparse, we've got the answer for you. Crossword puzzles offer a fantastic opportunity to engage your mind, enjoy leisure time, and test ...

Models that bridge vision and language, such as CLIP, are key components of multimodal AI. Yet, their large-scale, uncurated training data introduces severe social and spurious biases. Existing ...

Cambridge, MA — In high-stakes settings like medical diagnostics, users often want to know what led a computer vision model to make a certain prediction, so they can determine whether to trust its ...

In a recent study published in the journal Nature, researchers at the Arc Institute describe the development and advantages of “Evo 2”. Evo 2 is a novel biological foundation model trained on a ...

If you like speed, you might fall in love with this 612-hp Lamborghini Huracán Super Trofeo Evo2. The only race car at this year's Lightning Lap, it managed 153.2 mph at the top of the climbing esses ...

Artificial intelligence is increasingly used as a tool in many health care settings, from writing physicians' notes to making recommendations in specific cases. Research has found that AI and large ...

If neural networks are now making decisions everywhere from code editors to safety systems, how can we actually see the specific circuits inside that drive each behavior? OpenAI has introduced a new ...

Abstract: Epilepsy is a medical condition characterized by sudden and frequent sensory disruptions which is commonly detected by electroencephalogram (EEG) analysis. However, analyzing these signals ...