Artificial intelligence, computing, batteries, electronics and engineering assessed by what was actually demonstrated.
These hubs combine the newest records with method guidance and live counts from the database.
Models and systems assessed by the tasks, data, baselines, error modes and real-world constraints behind benchmark claims.
Open research hub →Technology & EngineeringBatteries, integrated electronics and materials systems evaluated from laboratory mechanism through scaling risk.
Open research hub →The framework improved benchmark research tasks, but automated synthesis still requires source checking and domain experts.
A new packaging approach aims to protect sensitive light-based circuits from temperature, vibration and other conditions outside the laboratory.
NIST researchers used controlled laser motion to redistribute ingredients in a molten pool and improve the uniformity of printed alloys.
A NIST platform uses nonlinear optics on a chip to produce colors that are difficult to reach with conventional compact lasers.
NIST researchers argue that static constraints cannot guarantee desired behavior as an adaptive system and its environment continue to change.
Northwestern researchers tested 28 DNA designs as adaptable frameworks for arranging proteins, potentially easing a stubborn structure-determination bottleneck.
Cornell researchers developed D&D-seq to measure where regulatory proteins interact with DNA in individual cells rather than population averages.
GenCast was faster and more skillful on a large benchmark. Operational forecasting still requires reliability, calibration, infrastructure, and human judgment.