AMD’s CES 2025 press conference: How to watch
AMD has its work cut out for it at CES 2025. Competitor Nvidia has been sucking the oxygen out of every room it graces, as the chipmaker remains at the…
2024
2024’s Biggest Moments in AI
2024 has been yet another groundbreaking year for AI, with major breakthroughs, industry shifts, and ethical challenges shaping its future. Let’s uncover together the key moments that defined AI this…
Home for the holidays? Share this top cybersecurity advice with friends and family
Sharing security advice can go a long way in protecting your loved ones from the most common and damaging online threats. © 2024 TechCrunch. All rights reserved. For personal use…
What is AI? The Ultimate Guide to Artificial Intelligence
Welcome to your deep dive into the fascinating world of Artificial Intelligence (AI). In this in-depth guide, you’ll discover exactly what AI is, why it matters, how it works, and…
FineWeb-C: A Community-Built Dataset For Improving Language Models In ALL Languages
FineWeb2 significantly advances multilingual pretraining datasets, covering over 1000 languages with high-quality data. The dataset uses approximately 8 terabytes of compressed text data and contains nearly 3 trillion words, sourced…
Qwen Team Releases QvQ: An Open-Weight Model for Multimodal Reasoning
Multimodal reasoning—the ability to process and integrate information from diverse data sources such as text, images, and video—remains a demanding area of research in artificial intelligence (AI). Despite advancements, many…
Frenzy: A Memory-Aware Serverless Computing Method for Heterogeneous GPU Clusters
Artificial Intelligence (AI) has been making significant advances with an exponentially growing trajectory, incorporating vast amounts of data and building more complex Large Language Models (LLMs). Training these LLMs requires…
This AI Paper by The Data Provenance Initiative Team Highlights Challenges in Multimodal Dataset Provenance, Licensing, Representation, and Transparency for Responsible Development
The advancement of artificial intelligence hinges on the availability and quality of training data, particularly as multimodal foundation models grow in prominence. These models rely on diverse datasets spanning text,…
Redesigning Datasets for AI-Driven Mathematical Discovery: Overcoming Current Limitations and Enhancing Workflow Representation
Current datasets used to train and evaluate AI-based mathematical assistants, particularly LLMs, are limited in scope and design. They often focus on undergraduate-level mathematics and rely on binary rating protocols,…
This AI Paper Introduces ROMAS: A Role-Based Multi-Agent System for Efficient Database Monitoring and Planning
Multi-agent systems (MAS) are pivotal in artificial intelligence, enabling multiple agents to work collaboratively to solve intricate tasks. These systems are designed to function in dynamic and unpredictable environments, addressing…