Natural Language Processing has recently undergone transformation with the advent of Large Language Models, including GPT series, leading to significant advances in linguistic tasks. Autoregressive pretraining has played a key role in this, fostering a better understanding of language and contributing to computer vision. D-iGPT, developed by Johns Hopkins and UC Santa Cruz researchers, has…

MIT leaders and scholars release policy briefs outlining a framework for U.S. artificial intelligence (AI) governance, aiming to enhance U.S. leadership and limit potential harm. The approach involves extending current regulatory and liability approaches and emphasizes identifying the purpose and intent of AI tools. The project aims to address various regulatory challenges in the AI…

Google has unveiled its Cloud TPU v5p, a powerful tensor processing unit boasting performance-driven design and significant speed improvements over its predecessor. Alongside, the AI Hypercomputer, featuring optimized hardware and open-source software, and the resource management tool Dynamic Workload Scheduler, mark a significant leap in AI processing capabilities. These innovations promise to redefine AI computation.

Researchers from Stanford University and FAIR Meta have introduced CHOIS, a system for generating synchronized 3D human-object interactions based on language descriptions and sparse object waypoints. Leveraging large-scale motion capture datasets, CHOIS advances human motion modeling and demonstrates superior performance in evaluations. The system’s potential for integration into long-term interaction pipelines and future research directions…

A remarkable advancement in competitive programming, AlphaCode 2 is an AI system developed by Google DeepMind, leveraging the powerful Gemini model. It features advanced Large Language Models and a sophisticated search and reranking system tailored for competitive programming, showcasing impressive problem-solving capabilities and outperforming its predecessor. This represents a significant leap in the cooperation between…

Contemporary machine learning relies on foundation models (FMs), often utilizing sequence models, such as the Transformer, which has drawbacks concerning window length and description of material. A new family of models, structured state space sequence models, addresses these issues and has been shown effective in certain domains. Researchers have introduced Mamba, a novel SSM architecture,…

Novel applications of machine learning have been made possible by the emergence of Low-Code and No-Code AI tools and platforms. These tools enable the creation of web services and customer-facing apps with minimal coding expertise. Noteworthy tools include MakeML for machine-learning models, Obviously AI for accurate predictions, and SuperAnnotate for high-throughput data annotation.

An AI startup’s unveiling of Grok, a sarcastic chatbot, has stirred controversy. Despite providing real-time content access and unique qualities, its behavior has raised concerns. Users noted similarities with ChatGPT, leading to questions about the AI’s training data. Grok’s criticism of Elon Musk and support for progressive causes have further fueled debate about controlling AI…

The UAE’s AI industry, led by G42, is causing US concerns due to its ties with China. The Middle East is aiming to become a competitive AI hub, with the US restricting AI hardware trade with the region. Despite US pressure, the UAE is balancing alliances and aiming to establish itself as an AI power.

Text-to-image diffusion models aim to generate realistic images from textual descriptions, facing challenges in accurately depicting subjects. Tencent’s new approach emphasizes identity-preserving image synthesis for human images, utilizing a direct feed-forward method and multi-identity cross-attention mechanism. Their model excels in preserving identities, enabling diverse stylistic image imposition, but raises ethical concerns.