For children with cochlear implants, a deep transfer learning (DTL) algorithm has greater accuracy, sensitivity, and s ...

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

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 ...

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.

A research team has introduced a lightweight artificial intelligence method that accurately identifies wheat growth stages ...

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 ...

Ruyi Ding (Northeastern University), Tong Zhou (Northeastern University), Lili Su (Northeastern University), Aidong Adam Ding (Northeastern University), Xiaolin Xu (Northeastern University), Yunsi Fei ...

anthropomorphism: When humans tend to give nonhuman objects humanlike characteristics. In AI, this can include believing a ...

Researchers Matthew Golub, Belle Liu, and Jacob Sacks at the Paul G. Allen School for Computer Science & Engineering, have ...

A new development in wireless sensing technology which can reliably screen for five common pulmonary diseases could lead to breakthrough new forms of touch-free diagnostics.