The search space for protein engineering grows exponentially with complexity. A protein of just 100 amino acids has 20^100 ...

The framework predicts how proteins will function with several interacting mutations and finds combinations that work well together.

In a new study published in Physical Review Letters, researchers used machine learning to discover multiple new classes of ...

Beijing, Feb. 06, 2026 (GLOBE NEWSWIRE) -- WiMi Releases Hybrid Quantum-Classical Neural Network (H-QNN) Technology for Efficient MNIST Binary Image Classification ...

The company’s 12th- and 13th-generation Core chips offered big boosts to CPU performance over the 11th-generation CPUs, for example, but they also usually came with a significant hit to battery life, ...

摘要: Depression is a clinically heterogeneous disorder comprising subtypes such as melancholic, atypical, anxious, and unspecified, each characterized by distinct symptom profiles and treatment ...

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Background: Attention Deficit/Hyperactivity Disorder (ADHD) is a highly prevalent neurodevelopmental disorder, but its diagnosis remains constrained. This study aimed to identify potential candidate ...

Prosthetic makeup designer Kazu Hiro details his process, right down to learning the actors’ sweat patterns and using seven different kinds of adhesive. By Bill Desowitz For The Smashing Machine, ...

Computational and Communication Science and Engineering (CoCSE), The Nelson Mandela African Institution of Science and Technology (NM-AIST), Arusha, Tanzania In the face of increasing cyberattacks, ...

In some ways, Java was the key language for machine learning and AI before Python stole its crown. Important pieces of the data science ecosystem, like Apache Spark, started out in the Java universe.