This important study introduces a new biology-informed strategy for deep learning models aiming to predict mutational effects in antibody sequences. It provides solid evidence that separating ...

In this video, we will understand in detail what is Momentum Optimizer in Deep Learning. Momentum Optimizer in Deep Learning ...

Deep-learning models known as LSTMs are changing the way scientists forecast how rivers will respond to changes in rain, snow and temperature. But a new study led by researchers at the University of ...

Regularization in Deep Learning is very important to overcome overfitting. When your training accuracy is very high, but test ...

A research team has developed an AI-based approach to streamline the evaluation of maize haploid fertility restoration, a key bottleneck in double haploid (DH) breeding.

Overview: AI-powered algorithms now drive a major share of global trading activity.Modern trading systems rely more on intelligence and data, not just execution ...

Background Although chest X-rays (CXRs) are widely used, diagnosing mitral stenosis (MS) based solely on CXR findings remains ...

Overview Most data science work benefits more from stable RAM and CPUs than from GPUs.The best laptops for data science ...

Real-time curation of media is critical as consumer attention continues to fragment across streaming TV, audio, display, and mobile channels. By fully integrating Cognitiv’s deep learning models, ...

A new technical paper titled “Deep-learning atomistic semi-empirical pseudopotential model for nanomaterials” was published ...

Examine the advanced hybrid synergy of libraries in 2026. Compare the immersive, community-focused value of contemporary ...