MIT Technology Review

What’s next for AlphaFold: A conversation with a Google DeepMind Nobel laureate

In 2017, fresh off a PhD on theoretical chemistry, John Jumper heard rumors that Google DeepMind had moved on from building ...
IEEE

MLIF-Net: Multimodal Fusion of Vision Transformers and Large Language Models for AI Image Detection

Abstract: This paper presents the Multimodal Language-Image Fusion Network (MLIF-Net), a new architecture to distinguish AI-generated images from real ones. MLIF-Net combines Vision Transformer (ViT) ...
Tech Xplore

New AI language-vision models transform traffic video analysis to improve road safety

New York City's thousands of traffic cameras capture endless hours of footage each day, but analyzing that video to identify ...
Unite.AI

The GPU Wall is Cracking: The Unseen Revolution in Post-Transformer Architectures

For the past five years, the artificial intelligence industry has been effectively synonymous with one word: Transformer.
Unite.AI

Teaching Forgetful AI To ‘Hold That Thought’ for Longer

Language models often can't remember the start of a conversation. A new text-compression method could change that, and make AI chat sessions much less infuriating. Conversational AI systems such as ...
MIT Technology Review

Designing digital resilience in the agentic AI era

As AI shifts from leveraging information provided by humans to making decisions on their behalf, tech leaders must weave an ...

Transformer AI models outperform neural networks in stock market prediction, study shows

Like other sectors of society, artificial intelligence is fundamentally changing how investors, traders and companies make ...
IEEE

Indian Sign Language Translation using Bidirectional Encoder Representations from Transformers (BERT)

Abstract: This paper aims to tackle the critical issue of effective communication for the deaf community, specifically addressing the divergence between American Sign Language (ASL) and Indian Sign ...