Fresh from holding the most extensive elections in its history, the Central African Republic (CAR) is entering what the UN’s top envoy in the country describes as a “decisive period” in consolidating ...
They call it a “world model”, an essential tool to help AI systems make sense of the complex, unpredictable physical spaces ...
They call it a “world model”, an essential tool to help AI systems make sense of the complex, unpredictable physical spaces into which many will eventually be put to work. The company argues that a ...
Exclusive: Samaneh Movassaghi can no longer function at the ‘elite cognitive level’ required in her field, and holds Tesla ...
Japanese construction company Hitachi Construction Machinery NV (HCME) has unveiled the ZX135-7EB, a 13-ton battery-electric excavator to expand its range of zero-emission construction equipment. The ...
Scientists report that they have developed a new machine-learning system designed to overcome challenges encountered in ...
Machine learning is an essential component of artificial intelligence. Whether it’s powering recommendation engines, fraud detection systems, self-driving cars, generative AI, or any of the countless ...
Objective To develop and validate an interpretable machine learning (ML)-based frailty risk prediction model that combines real-time health data with validated scale assessments for enhanced ...
Abstract: Advancements in machine learning (ML) have facilitated the prediction of key aspects of human locomotion, particularly in identifying subject gait trajectories essential for recognizing ...
eSpeaks’ Corey Noles talks with Rob Israch, President of Tipalti, about what it means to lead with Global-First Finance and how companies can build scalable, compliant operations in an increasingly ...
Project Stargate moved from concept to execution in 2025 as OpenAI began assembling a multi-gigawatt AI infrastructure portfolio across the U.S. and abroad. With SoftBank’s acquisition of ...
Traditional QSRR models are limited to single-column predictions, hindering adaptability across diverse LC setups in pharmaceutical settings. The new ML-based approach predicts retention times using ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results