The AI chip giant has taken the wraps off its latest compute platform designed for test-time scaling and reasoning models, alongside a slew of open source models for robotics and autonomous driving.

This important study introduces a new biology-informed strategy for deep learning models aiming to predict mutational effects in antibody sequences. It provides solid evidence that separating ...

Identity management is growing more complex as AI and non-human agents surge. Gianni Aiello, head of product at Lumos, says ...

ABSTRACT: Modeling HIV/AIDS progression is critical for understanding disease dynamics and improving patient care. This study compares the Exponential and Weibull survival models, focusing on their ...

Abstract: Exponential degradation modeling and its variants have been widely used to describe component or device degradation characteristics, such as exponential bearing degradation, and their ...

Oncology drug efficacy is evaluated in mouse models by continuously monitoring tumor volumes, which can be mathematically described by growth kinetic models. Although past studies have investigated ...

Imagine a world where every employee understands the grand strategy, where leaders are inspired through action and continuous learning is the norm. This isn't a utopian dream but a reality for ...

Abstract: The robotics community has seen an exponential growth in the level of complexity of the theoretical tools presented for the modeling of soft robotics devices. Different solutions have been ...

Effect of a novel anti-PD-1-proIL-2 bifunctional fusion protein on potent anti-tumor activity via PD-1 checkpoint inhibition and conditional IL-2R agonism. Prediction of immune-related adverse events ...

In 3D reconstruction and generation, pursuing techniques that balance visual richness with computational efficiency is paramount. Effective methods such as Gaussian Splatting often have significant ...