Inspired by biological systems, materials scientists have long sought to harness self-assembly to build nanomaterials. The challenge: the process seemed random and notoriously difficult to predict.

Flagship W4 Earbuds Become the Most Accurate Interpreter Device Ever ReleasedLAS VEGAS, Jan. 5, 2026 /PRNewswire/ -- ...

New Analysis Platform Explores Why Household Tasks and Physical Automation Require Embodied Intelligence Beyond Traditional Computer Approaches The next wave of AI is physical AI. AI that understands ...

When people are dropped into the most dangerous of conditions – as when disaster strikes, or during exploration of another ...

How do caterpillars keep memories after dissolving into soup? How do we transform without fragmenting? A new AI architecture ...

Author Shawn Peters blends clarity and rigor to make data structures and algorithms accessible to all learners. COLORADO, CO, UNITED STATES, January 2, 2026 /EINPresswire.com/ — Vibrant Publishers ...

Abstract: To design the “Kansei value” aspect of a product, it is useful to design multilayered relationships of perceptual and affective responses via the physical or psychophysical properties of the ...

Buying Instagram likes in 2025 isn’t just about boosting a number — it’s about choosing services that prioritise retention, authenticity, and predictable delivery patterns.

Brookhaven National Laboratory and collaborators have developed a new type of lidar—a laser-based remote-sensing instrument—that can observe cloud structures at the scale of a single centimeter. The ...

Abstract: This letter presents Open-Structure, a novel benchmark dataset for evaluating visual odometry and SLAM methods. Compared to existing public datasets that primarily offer raw images, ...

The negotiations between the WNBA and the WNBPA are ongoing, and the latest round of updates reveals that the two sides are working through several points of emphasis. According to The Athletic, with ...