This important study describes long-range serial dependence of performance on a visual texture discrimination training task that manipulated conditions to induce differing degrees of location transfer ...

Insiders reveal how OpenAI’s rapidly growing coding agent works, why developers are delegating tasks to it, and what it means ...

In the orchestration era, software defensibility is no longer about UI polish or workflow checklists. It’s about semantic ...

Reasoning large language models (LLMs) are designed to solve complex problems by breaking them down into a series of smaller steps. These powerful ...

The Incredible Unknowns of the Louvre is using augmented reality to help people see museum masterpieces through fresh eyes ...

The biggest lesson from both vibe coding and outcome-oriented work is that technology changes faster than culture.

Researchers from the University of Maryland, Lawrence Livermore, Columbia and TogetherAI have developed a training technique that triples LLM inference speed without auxiliary models or infrastructure ...

Sara Hooker, the CEO and co-founder of Adaption Labs, speaks about how the era of adding more GPUs to larger models is over ...

In this conversation, we break down Specialized Investment Funds (SIFs) in simple terms—what they are, why SEBI introduced them, and how they differ from traditional mutual funds and PMS. Learn who ...

Here are three papers describing different side-channel attacks against LLMs. “Remote Timing Attacks on Efficient Language Model Inference“: Abstract: Scaling up language models has significantly ...

Stage 1: Metaphoric cleansing. The AI identifies unconventional metaphors or visceral imagery as "noise" because they deviate from the training set's mean. It replaces them with dead, safe clichés, ...

Hyderabad are advancing cancer research by integrating genomics, epigenetics, gene regulation and artificial intelligence to ...