Articles for category: AI Research

March 12, 2025

ikayaniaamirshahzad@gmail.com

Cellular Automata Accelerated in JAX

[Submitted on 3 Oct 2024 (v1), last revised 11 Mar 2025 (this version, v2)] View a PDF of the paper titled CAX: Cellular Automata Accelerated in JAX, by Maxence Faldor and 1 other authors View PDF HTML (experimental) Abstract:Cellular automata have become a cornerstone for investigating emergence and self-organization across diverse scientific disciplines. However, the absence of a hardware-accelerated cellular automata library limits the exploration of new research directions, hinders collaboration, and impedes reproducibility. In this work, we introduce CAX (Cellular Automata Accelerated in JAX), a high-performance and flexible open-source library designed to accelerate cellular automata research. CAX delivers cutting-edge

March 12, 2025

ikayaniaamirshahzad@gmail.com

Google shares its first Health Impact Report

Technology like AI is changing the ways we prevent, diagnose and treat diseases to make healthcare more accessible and human, putting people at the heart of innovation. Today we’re publishing our first Health Impact Report showing how Google’s technology and partnerships affect health across four areas: Advancing cutting-edge AI capabilities to enhance care, support clinicians and accelerate scientific breakthroughs. Meeting people where they are with reliable, high-quality health information and personal insights. Transforming organizations working in health to meet the future of health. Building a thriving health ecosystem by collaborating with and supporting researchers, developers, governments and communities around the

March 12, 2025

ikayaniaamirshahzad@gmail.com

Reddit – Dive into anything

We value your privacy Reddit and its partners use cookies and similar technologies to provide you with a better experience. By accepting all cookies, you agree to our use of cookies to deliver and maintain our services and site, improve the quality of Reddit, personalize Reddit content and advertising, and measure the effectiveness of advertising. By rejecting non-essential cookies, Reddit may still use certain cookies to ensure the proper functionality of our platform. For more information, please see our Cookie Notice and our Privacy Policy. Source link

March 12, 2025

ikayaniaamirshahzad@gmail.com

Reddit – Dive into anything

We value your privacy Reddit and its partners use cookies and similar technologies to provide you with a better experience. By accepting all cookies, you agree to our use of cookies to deliver and maintain our services and site, improve the quality of Reddit, personalize Reddit content and advertising, and measure the effectiveness of advertising. By rejecting non-essential cookies, Reddit may still use certain cookies to ensure the proper functionality of our platform. For more information, please see our Cookie Notice and our Privacy Policy. Source link

March 12, 2025

ikayaniaamirshahzad@gmail.com

Reddit – Dive into anything

We value your privacy Reddit and its partners use cookies and similar technologies to provide you with a better experience. By accepting all cookies, you agree to our use of cookies to deliver and maintain our services and site, improve the quality of Reddit, personalize Reddit content and advertising, and measure the effectiveness of advertising. By rejecting non-essential cookies, Reddit may still use certain cookies to ensure the proper functionality of our platform. For more information, please see our Cookie Notice and our Privacy Policy. Source link

March 12, 2025

ikayaniaamirshahzad@gmail.com

Reddit – Dive into anything

We value your privacy Reddit and its partners use cookies and similar technologies to provide you with a better experience. By accepting all cookies, you agree to our use of cookies to deliver and maintain our services and site, improve the quality of Reddit, personalize Reddit content and advertising, and measure the effectiveness of advertising. By rejecting non-essential cookies, Reddit may still use certain cookies to ensure the proper functionality of our platform. For more information, please see our Cookie Notice and our Privacy Policy. Source link

March 11, 2025

ikayaniaamirshahzad@gmail.com

Reddit – Dive into anything

We value your privacy Reddit and its partners use cookies and similar technologies to provide you with a better experience. By accepting all cookies, you agree to our use of cookies to deliver and maintain our services and site, improve the quality of Reddit, personalize Reddit content and advertising, and measure the effectiveness of advertising. By rejecting non-essential cookies, Reddit may still use certain cookies to ensure the proper functionality of our platform. For more information, please see our Cookie Notice and our Privacy Policy. Source link

March 11, 2025

ikayaniaamirshahzad@gmail.com

Reddit – Dive into anything

We value your privacy Reddit and its partners use cookies and similar technologies to provide you with a better experience. By accepting all cookies, you agree to our use of cookies to deliver and maintain our services and site, improve the quality of Reddit, personalize Reddit content and advertising, and measure the effectiveness of advertising. By rejecting non-essential cookies, Reddit may still use certain cookies to ensure the proper functionality of our platform. For more information, please see our Cookie Notice and our Privacy Policy. Source link

March 11, 2025

ikayaniaamirshahzad@gmail.com

Outperforming and boosting large multi-task language models with a small scorer

Due to the complexity of understanding and solving various tasks solely using instructions, the size of multi-task LLMs typically spans from several billion parameters to hundreds of billions (e.g., FLAN-11B, T0-11B and OPT-IML-175B). As a result, operating such sizable models poses significant challenges because they demand considerable computational power and impose substantial requirements on the memory capacities of GPUs and TPUs, making their training and inference expensive and inefficient. Extensive storage is required to maintain a unique LLM copy for each downstream task. Moreover, the most powerful multi-task LLMs (e.g., FLAN-PaLM-540B) are closed-sourced, making them impossible to be adapted. However,

March 11, 2025

ikayaniaamirshahzad@gmail.com

ExACT: Improving AI agents’ decision-making via test-time compute scaling

Autonomous AI agents are transforming the way we approach multi-step decision-making processes, streamlining tasks like web browsing, video editing, and file management. By applying advanced machine learning, they automate workflows, optimize performance, and reduce the need for human input.  However, these systems struggle in complex, dynamic environments. A key challenge lies in balancing exploitation, using known strategies for immediate gains, with exploration, which involves seeking new strategies that could yield long-term benefits. Additionally, they often have difficulty adapting to unpredictable changes in conditions and objectives, as well as generalizing knowledge across contexts, limiting their ability to transfer learned strategies between