According to TII’s technical report, the hybrid approach allows Falcon H1R 7B to maintain high throughput even as response ...

Nvidia’s new lineup of open-source AI models is headlined by Alpamayo 1 (pictured), a so-called VLA, or ...

AI data trainer roles have moved from obscure contractor gigs to a visible career path with clear pay bands and defined ...

The XGBoost model predicts hyperglycemia risk in psoriasis patients with high accuracy, achieving an AUC of 0.821 in the training set. A web-based calculator was developed to facilitate personalized ...

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 ...

ETRI, South Korea’s leading government-funded research institute, is establishing itself as a key research entity for ...

Questa releases a Privacy focused AI Analytics Assistant that first anonymizes all sensitive information from documents to prevent AI training on them. AI Privacy is not an abstract academic concept ...

Optical computing has emerged as a powerful approach for high-speed and energy-efficient information processing. Diffractive ...

AI data trainers who ensure the accuracy and viability of training data going into AI models are well-compensated, in-demand professionals. Two new studies projected potential annual incomes ranging ...

AWS, Cisco, CoreWeave, Nutanix and more make the inference case as hyperscalers, neoclouds, open clouds, and storage go ...

DeepSeek has introduced Manifold-Constrained Hyper-Connections (mHC), a novel architecture that stabilizes AI training and ...

Performance. Top-level APIs allow LLMs to achieve higher response speed and accuracy. They can be used for training purposes, as they empower LLMs to provide better replies in real-world situations.