Transfer learning is a machine learning technique that allows a model trained on one task to be repurposed or fine-tuned for ...

Siddhant Sonkar's exploration into transfer learning and fine-tuning reveals how these innovations are transforming the AI landscape and making it more accessible to organizations with limited ...

Tony Hogben is the Immersive Studio Lead at Pfizer Digital Omnichannel Services & Solutions (OSS). Pfizer Digital Omnichannel ...

The research underscores AI’s ability to redefine how businesses operate, from product development to customer engagement, ...

Yann LeCun, Chief AI Scientist at Meta, believes LLMs are doomed due to their inability to represent the high-dimensional ...

It comes as no surprise that as the incidence of cybercrime increases, cybersec teams are becoming faster at detecting threats.

Satyarth Pandita On 26th March, 2025, OpenAI introduced a new update to ChatGPT, which took X (formerly Twitter) and the ...

The LED and photodetector pairing, coupled with analog drivers and amplifiers and bolstered by AI algorithms, is leading to ...

Digital literacy skills needed to evaluate online sources, protect personal data, recognize misinformation, and participate ...

Additionally, self-supervised and zero-shot methods require extensive processing time ... technique and a test-time adaptation for sophisticated rotational cuff tear diagnosis. The proposed approach ...

AI solves 10-year problem, unlocking fast answers in superbug research and offering new angles on antimicrobial resistance.

Research team proposed RSLR, a robust self-training approach with label refinement for unsupervised domain adaptation under ...