Among the most ambitious and daring of these responses is Case Study: Adapt (CSA), a newly launched project inspired by the ...

In a manuscript published in the American Journal of Psychiatry titled "Psychiatric Genetics in Clinical Practice: Essential ...

Large Language Models (LLMs) have rapidly become an integral part of our digital landscape, powering everything from chatbots to code generators. However, as these AI systems increasingly rely on ...

Synthetic medical data, typically used to address privacy restrictions or to balance underrepresented cases in training data, ...

NYU Tandon School of Engineering researchers have introduced Orion, a novel framework that brings fully homomorphic encryption (FHE) to deep learning — allowing AI models to practically and ...

The macromolecular organization of photosynthetic complexes within the thylakoids of higher plant chloroplasts has been a topic of significant debate. Using in situ cryo-electron tomography, this ...

In a major scientific advancement, researchers have decoded the genetic foundation of root system architecture (RSA) in ...

AI projects stumble not because of flawed algorithms but because the underlying data pipelines are weak or chaotic.

A recent study led by Google AI researchers shows that modern LLMs are very similar to the human brain in the way they ...

Processing large-scale AI models requires interconnected GPUs spread across multiple servers and racks. AI data centres ...

The system addresses a growing challenge in Agriculture 4.0: how to deploy intelligent pest control without compromising ...