By applying new methods of machine learning to quantum chemistry research, Heidelberg University scientists have made significant strides in computational chemistry. They have achieved a major ...
In the first instalment of LCGC International's interview series exploring how artificial intelligence (AI)/machine learning ...
That’s the warning from Sharon Macquarie, head of global training at Avetta, who says too many organisations still design learning to “tick the compliance box” rather than build genuine capability in ...
Orbital-free approach enables precise, stable, and physically meaningful calculation of molecular energies and electron ...
Reasoning large language models (LLMs) are designed to solve complex problems by breaking them down into a series of smaller steps. These powerful ...
News of artificial intelligence (AI) developments in new domains fills headlines every day. AI, created by humans to enhance convenience and productivity, now discusses political, social, and ...
Deep learning is increasingly used in financial modeling, but its lack of transparency raises risks. Using the well-known ...
A research team at Universidad Carlos III de Madrid (UC3M) has developed technology using advanced machine learning techniques that detects signs of gender violence from paralinguistic characteristics ...
A Portage la Prairie mother says she is continuing to press for a religious accommodation after her request to opt her children out of a land-based learning program called Mamàhtawisiwin was denied by ...
Chad Moses, the executive head at Reddam House Umhlanga, looks at the way technology has become an integral part of both ...
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MULTI-evolve accelerates protein engineering with machine learning
The search space for protein engineering grows exponentially with complexity. A protein of just 100 amino acids has 20^100 possible variants-more combinations than atoms in the observable universe.
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