Georgia Tech researchers applied their expertise to a national research program that will shape the future of computing.

Abstract: We propose to learn the time-varying stochastic computational resource usage of software as a graph-structured Schrödinger bridge problem (SBP). In general, learning the computational ...

WEST LAFAYETTE, Ind. — With recent advances, cancer research now generates vast amounts of information. The data could help researchers detect patterns in cancer cells and stop their growth, but the ...

TPUs are Google’s specialized ASICs built exclusively for accelerating tensor-heavy matrix multiplication used in deep learning models. TPUs use vast parallelism and matrix multiply units (MXUs) to ...

What’s the best way to bring your AI agent ideas to life: a sleek, no-code platform or the raw power of a programming language? It’s a question that sparks debate among developers, entrepreneurs, and ...

Researchers at Meta FAIR and the University of Edinburgh have developed a new technique that can predict the correctness of a large language model's (LLM) reasoning and even intervene to fix its ...

Nvidia began shipping its DGX Spark system on 15th October 2025, placing up to 200 billion-parameter AI model capabilities on technology decision-makers’ desks for $3,999. The compact device measures ...

The AI boom is driving an explosive surge in computational demands and reshaping the landscape of technology, infrastructure, and innovation. One of the biggest barriers to widespread AI deployment ...

ABSTRACT: Since transformer-based language models were introduced in 2017, they have been shown to be extraordinarily effective across a variety of NLP tasks including but not limited to language ...