As language models (LMs) improve at tasks like image generation, trivia questions, and simple math, you might think that human-like reasoning is around the corner. In reality, they still trail us by a ...

To prevent jitter between frames, Kuta explains that D-ID uses cross-frame attention and motion-latent smoothing, techniques that maintain expression continuity across time. Developers can even ...

Ripples maintain time-locked occurrence across the septo-temporal axis and hemispheres while showing local phase coupling, revealing a dual mode of synchrony in CA1 network dynamics.

In physics and materials science, the term "spin chirality" refers to an asymmetry in the arrangement of spins (i.e., the ...

Most languages use word position and sentence structure to extract meaning. For example, "The cat sat on the box," is not the ...

This weekly recap brings those stories together in one place. No overload, no noise. Read on to see what shaped the threat ...

Word Embedding (Python) is a technique to convert words into a vector representation. Computers cannot directly understand words/text as they only deal with numbers. So we need to convert words into ...

Unlike typical AI tools, NotebookLM is designed to help you interact with sources you upload to notebooks. This means the best way to use NotebookLM efficiently is by populating your notebooks with ...

– Oral and poster presentations to include seizure and neurodevelopmental data from POLARIS Phase 1/2 Program that support advancement of ETX101 – SOUTH SAN FRANCISCO, Calif., December 01, ...

Secondary metabolites are a reliable and very important source of medicinal compounds. While these molecules have been mined extensively, genome sequencing has suggested that there is a great deal of ...

Neural encoding is the study of how neurons represent information with electrical activity (action potentials) at the level of individual cells or in networks of neurons. Studies of neural encoding ...