Prevailing AI architectures are not moving the needle. We need new ideas. Google Research proposes NL (nested learning). Here ...

Monoclonal antibody (mAb) manufacturing must continually improve to keep up with increasing demands. To do this, biomanufacturers can deploy machine learning tools to augment traditional process ...

WCE is the first to deploy Asia Mobiliti’s IOroad system which uses IoT and Machine Learning for real-time, predictive and ...

The global economy is shifting from software intelligence to embodied AI — where algorithms meet physical production.

Machine Learning (ML) algorithms have revolutionized various domains by enabling data-driven decision-making and automation.

Deductive AI raises $7.5 million to automate software debugging with machine learning, helping engineers fix production ...

VeriSilicon (688521.SH) recently announced the joint launch of the Coral NPU IP with Google, targeting always-on, ultra-low-energy edge Large Language Model (LLM) applications. The IP is based on ...

ITI warned of new risks in agentic AI in a new paper and urged the government to adopt accountable AI regulations.

By applying advanced data analytics, the service enables producers to predict performance drops, stress events, and health ...

The Waymo expansion here accelerates the spread of machine-learning technology and may help self-driving cars overcome a ...

Artificial intelligence (AI) is rapidly emerging as a transformative force in global health. From forecasting outbreaks,1 ...

The clip, uploaded by politician and entrepreneur Anil Shetty, shows the two well-known figures cheerfully moving to upbeat ...