It now appears that neural nets may be the next frontier in the advance of computing technology as a whole. But what are ...

University of Tokyo’s dLab automates thin-film material synthesis and analysis, speeding up materials discovery with AI and robotics ...

Developed instruments. Professor Taro Hitosugi stands by the autonomous experiment system developed by his team. ©2025 ...

The digital laboratory (dLab) system fully automates the material synthesis and structural, physical property evaluation of ...

The days of relying on prescription data and manual sales alignments are fading as the pharma industry enters a new era of ...

In the report, the analysts stated that “the noisy nature of the market currently is reflected in the latest waterfall diagram for SCORPIO”, which is the company’s machine-learning oil price ...

Department of Neurobiology, Silberman Institute of Life Sciences, The Hebrew University, Jerusalem, Israel ...

Aluminum alloys are widely used in transportation applications because of their high strength-to-weight ratio, as well as their affordability. However, challenges arise when using them in extremely ...

Reduce risk arising from access abuse and make smart access decisions based on machine learning. Set up requirements for recurring ... to relevant business groups and automate the approval process for ...

The researchers created four machine learning (ML) models to predict storm surges, significantly improving forecasting accuracy when integrated with the Finite Volume Community Ocean Model (FVCOM-ML).

After uncovering a unifying algorithm that links more than 20 common machine-learning approaches, researchers organized them into a 'periodic table of machine learning' that can help scientists ...

When two-dimensional electron systems are subjected to magnetic fields at low temperatures, they can exhibit interesting ...