Analyzing stochastic cell-to-cell variability can potentially reveal causal interactions in gene regulatory networks.

Foundation models are AI systems trained on vast amounts of data — often trillions of individual data points — and they are capable of learning new ways of modeling information and performing a range ...

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Either way, Santa Clara University’s thought leaders have you covered. We asked a handful of our faculty scholars from across ...

Nous Research's open-source Nomos 1 AI model scored 87/120 on the notoriously difficult Putnam math competition, ranking ...

Abstract: This paper presents a novel hardware approach for solving systems of linear equations by leveraging in-memory computing (IMC) with memristive crossbar arrays. Unlike conventional ...

Introduction Over several decades, the educational system in Ghana has been deeply shaped by memorization-based learning mdash; often referred to as rote learning .

That’s because a new framework is improving the probabilistic reasoning of LLMS like ChatGPT and Gemini. School of ...

Abstract: Multienergy systems (MES) can optimally deploy their internal operational flexibility to use combinations of different energy vectors to meet the needs of end-users and potentially support ...

Energy-efficient frontal polymerization process eliminates the need of oven or autoclave to transform 2D printed structures ...

Building an AI-Integrated Braille Recognition Model for Blind Education: From Mechanical Devices to Personalized Learning ...

We have shown that business cycles of say five to ten years appear naturally due to an instability. Though it is the right ...