Artificial Intelligence
Researchers from the National Research Council Canada experimented with four large vision-language models to assess racial and gender bias. They found biases in the models’ evaluation of scenarios in images based on race and gender. Their experiments used a dataset called PAIRS and revealed biases in occupation scenarios and social status evaluations, raising the need…
The advent of large language models (LLMs) has transformed natural language processing, but their high computational demand hinders real-world deployment. A study explores the viability of smaller LLMs, finding that compact models like FLAN-T5 can match or surpass larger LLMs’ performance in meeting summarization tasks. This breakthrough offers a cost-effective NLP solution with promising implications.
Google, led by CEO Sundar Pichai, is shifting focus towards AI chatbot technology with Gemini. This innovative tool aims to offer a versatile and interactive way of accessing information, including text, voice, and images. Google is experimenting with various formats for Gemini and plans to offer advanced features through a subscription model, reflecting a strategic…
This week’s AI news covers a range of topics, including AI’s involvement in defense applications and its impact on carbon emissions. Efforts to combat AI-generated fake content are also discussed, along with developments in AI image generation and its application in different industries. The post concludes with a selection of engaging AI stories.
Physics-informed neural networks (PINNs) integrate physical laws into learning, promising predictive accuracy. However, their performance declines due to multi-layer perceptron complexities. Physics-informed machine learning efforts are ongoing, but PirateNets, designed by a research team, offer a dynamic framework to overcome PINN challenges. It integrates random Fourier features and shows superior performance in addressing complex problems…
Stanford researchers have introduced RAPTOR, a tree-based retrieval system that enhances large language models with contextual information. RAPTOR utilizes a hierarchical tree structure to synthesize information from diverse sections of retrieval corpora, and it outperforms traditional methods in various question-answering tasks, demonstrating its potential for advancing language model capabilities. [47 words]
Large Language Models (LLMs) have become crucial for Natural Language Processing (NLP) tasks. However, the lack of openness in model development, particularly the pretraining data composition, hinders transparency and scientific advancement. To address this, a team of researchers has released Dolma, a large English corpus with three trillion tokens, and a data curation toolkit to…
The Frontiers of General Artificial Intelligence Technology Exhibition in Beijing unveiled a virtual robot toddler named Tong Tong, developed by the Beijing Institute for General Artificial Intelligence. Tong Tong exhibits human-like abilities and behaviors, mirroring those of a 3-4 year old child. Chinese researchers aim to create thousands of powerful autonomous robots by 2025.
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.
The Travel Trends AI Summit, taking place on February 21-22, 2024, will explore the profound impact of AI on the travel industry. Leading experts, including representatives from Microsoft and Deloitte, will share insights on leveraging AI for innovation. Attendees can engage in interactive discussions and networking opportunities. Register by February 13 for a special price…
The Generative AI for Automotive Summit 2024, in Frankfurt, Germany, will address the impact of generative AI on vehicle design, development, and manufacturing efficiency. Key figures from leading companies like Toyota, BMW, and Bugatti will speak on topics such as generative models, AI regulations, and autonomous vehicle safety. Registration details will be on the official…