MIT researchers have revealed how utilizing symmetry in datasets can reduce data needed for training models. They employed Weyl’s law, a century-old mathematical insight, to simplify data input into neural networks. This breakthrough has potential implications in computational chemistry and cosmology, and it was presented at the December 2023 Neural Information Processing Systems conference.

The Post-Industrial Summit 2024, hosted by the Post-Industrial Institute and SRI International in Menlo Park, CA on February 28-29, explores AI’s transformative impact on businesses. With insights from executives and experts from leading organizations, the summit focuses on responsible and ethical AI implementation, frameworks for next-generation AI, and the larger economic context driving AI advancement.…

Deep active learning combines traditional neural network training with strategic data sample selection, leading to improved model performance, efficiency, and accuracy in various applications.

Google is launching Gemini, its large language model, across its products, offering a subscription plan for Gemini Ultra. It is replacing its ChatGPT rival with Bard, powered by Gemini. Gemini outperforms GPT-4 and is integrated into various tools. Google is focusing on global expansion and ensuring safety through features like SynthID watermarks.

Gemini is being expanded to more Google products.

Speech recognition technology continually seeks advancements in algorithm and models for improved accuracy and efficiency across languages and dialects. Carnegie Mellon University and Honda Research Institute Japan introduce OWSM v3.1, leveraging the E-Branchformer architecture to achieve better results than its predecessor. This innovation sets a new standard in open-source speech recognition.

This survey from Seoul National University explores the challenges and advancements in optimizing language models. It highlights the significant impact of low-cost compression algorithms in reducing model size without sacrificing performance, thus promoting accessibility and sustainability. The study emphasizes the need for continued innovation in compression techniques to unlock the full potential of language models…

A new breakthrough in artificial intelligence has been achieved with MoE-LLaVA, a pioneering framework for large vision-language models (LVLMs). It strategically activates only a fraction of its parameters, maintaining manageable computational costs while expanding capacity and efficiency. This innovative approach sets new benchmarks in balancing model size and computational efficiency, reshaping the future of AI…

Artificial intelligence and mathematical reasoning converge in a dynamic intersection, pushing the boundaries of problem-solving capabilities. Large Language Models (LLMs) exhibit promise in bridging linguistic nuances with mathematical logic, showcasing enhanced performance in handling diverse mathematical challenges. The collaborative effort between technology and mathematics holds the potential to redefine problem-solving approaches, marking significant advancements while…

CFO StraTech 2024 in Riyadh, KSA on February 8, 2024, will gather CFOs to discuss their expanded role, Saudi Arabia’s Vision 2030, and cutting-edge technologies. Over 20 expert speakers and 130 companies will participate, providing networking opportunities and insights on technological and strategic trends. Visit the official website for registration and partnership opportunities.