Single-cell RNA-seq AI analysis has become the default way to make sense of the millions of expression measurements a single experiment can now generate. Turning raw sequencing counts into ...

A research team at The Hong Kong Polytechnic University (PolyU) has developed Hong Kong's first "AI Agent for Precision ...

This important study provides a mechanistic view of how antibody affinity maturation can reshape encounter-state landscapes and association pathways, with implications for understanding HIV antibody ...

AI and data science are no longer specialist skills confined to computational biology departments; they are core tools of the modern life science research workflow. From machine learning (ML) models ...

Abstract: This paper proposes a predictive techno-economic analysis in terms of voltage stability and cost using regression-based machine learning (ML) models and effectiveness of the analysis is ...

Ant Group’s Robbyant has released LingBot-VLA 2.0, a Vision-Language-Action (VLA) foundation model for robots. The release includes a technical report, an Apache-2.0 codebase, and a 6B checkpoint. The ...

This repo first contains a PyTorch implementation of PredRNN (2017) [paper], a recurrent network with a pair of memory cells that operate in nearly independent transition manners, and finally form ...

NVIDIA recently introduced a new vision language model (VLM) that enables AI systems to identify and localize objects. Apple ...

Abstract: Analysis of time-series data allows to identify long term trends and make predictions that can help to improve our lives. With rapid development of artificial neural networks, long ...

Third-party cookies are officially gone in 2026, and the first-party-data conversation has moved from theoretical to ...

Walking robots, such as quadruped robotic dogs, must be able to move safely through rough, often changing environments. Today ...

The JadePuffer autonomous AI agent has upgraded with custom malware called EncForge that focuses on encrypting AI assets, ...