UTokyo and Kubota develop a drone potato yield prediction method combining multispectral imagery, AI, and growth models.

Solving complex optimization problems is central to many modern technologies, from logistics and financial modeling to chip ...

As energy companies push AI deeper into industrial operations, success increasingly depends on governance, trusted data, and ...

Transaction expands Symbotic’s solution from automation execution to full-scale, AI-powered operational intelligence across the entire warehouse ecosystem Unifies automated systems and human workflows ...

Rubin Observatory LSST launched June 30, 2026, unleashing a nightly 7-million-alert sky survey powered by SLAC’s 60-second ...

A new study reveals that dual-atom catalysts behave in a fundamentally different way than scientists previously thought, challenging a long-standing model used to predict catalytic performance.

Discover how the best route optimization software improves driver performance, reduces costs, boosts fleet efficiency, and ...

Arbor separates strategy from execution using isolated git worktrees, so engineering teams can finally trace which optimization actually moved the needle.

Brings Clarifai’s deep expertise in system-level inference optimization and production AI to Nebius's managed inference platform and global capacity Clarifai founder and CEO Matthew Zeiler, Ph.D., to ...

Proton exchange membrane fuel cells (PEMFCs) are promising for zero-emission vehicles, but their sub-zero start-up capability remains a major hurdle. Freezing of product water inside the membrane ...

The selective oxidation of alcohols to aldehydes is a vital reaction in organic synthesis and chemical production. However, this reaction exhibits a complex reaction network influenced by temperature, ...

Neel Somani points out that while artificial intelligence may look like it runs on data and algorithms, its real engine is optimization. According to Somani, every breakthrough in the field—from ...