The new training method doesn't use sensors or onboard control tweaks, but a single camera that watches the robot's movements ...

Big news for enterprise DJI drone users as Terra, the company’s 3D modeling software, is set to get some new next-generation ...

Machine learning is an integral part of high-stakes decision-making in a broad swath of human-computer interactions. You ...

Traditionally, drug discovery relied heavily on trial and error, with long timelines and high costs. The introduction of ...

Whole-mount 3D imaging at the cellular scale is a powerful tool for exploring complex processes during morphogenesis. In organoids, it allows examining tissue architecture, cell types, and morphology ...

Without the right data storage infrastructure, even the most powerful AI systems can be brought to a crawl by slow, fragmented, or inefficient data pipelines.

Eventual's data processing engine Daft was inspried by the founders' experience working on Lyft's autonomous vehicle project.

Machine learning transforms the landscape of 2D materials design, particularly in accelerating discovery, optimization, and screening processes. This review has delved into the historical and ongoing ...

The Vera C. Rubin Observatory will make the study of stars and galaxies more like the big data-sorting exercises of contemporary genetics and particle physics.

A new, densely annotated 3D-text dataset called 3D-GRAND can help train embodied AI, like household robots, to connect language to 3D spaces. The study, led by University of Michigan researchers, was ...

Snowflake is also unveiling Data Science Agent (private preview soon), an agentic companion that boosts data scientists’ productivity by automating routine ML model development tasks.

Manufacturing execution systems (MES) generate mountains of data. Deciphering the data, however, often consumes hours daily. Machine learning can quickly transform MES data into actionable insights to ...