A deep learning framework combines convolutional and bidirectional recurrent networks to improve protein function prediction from genomic sequences. By automating feature extraction and capturing long ...
The application, called the Strategic Grid Planner, extends the company’s Intelligent Grid Platform (IGP) and focuses on ...
Across the physical world, many intricate structures form via symmetry breaking. When a system with inherent symmetry ...
AI could transform materials R&D. But how it does this, and how well it is adopted, is yet to be seen. Here, we take a look ...
Order doesn’t always form perfectly—and those imperfections can be surprisingly powerful. In materials like liquid crystals, ...
AI-powered penetration testing is an advanced approach to security testing that uses artificial intelligence, machine learning, and autonomous agents to simulate real-world cyberattacks, identify ...
Topological defects govern how many advanced materials behave, but predicting them has traditionally required slow, ...
Scientists have developed an AI system that can rapidly predict complex defect patterns in liquid crystals, cutting simulation times from hours to milliseconds. The approach could transform how ...
Life sciences generate substantial plastic waste and face ethical scrutiny over animal testing, necessitating sustainable ...
Synopsys operates as a tax collector for the semiconductor industry, commanding dominant positions in Silicon Design and IP ...
Features: High-performance computing is helping Space agencies and universities compress simulation cycles, train AI models faster, and enable more autonomous missions.
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