​ In deep learning, Transformer neural networks have garnered significant attention for their effectiveness in various domains, especially in natural language processing and emerging applications like computer vision, robotics, and autonomous driving. However, while enhancing performance, the ever-increasing scale of these models brings about a… Read More »Google AI Introduces AltUp (Alternating Updates): An Artificial Intelligence Method that Takes Advantage of Increasing Scale in Transformer Networks without Increasing the Computation Cost Madhur Garg Artificial Intelligence Category – MarkTechPost

​ A new AI research has introduced the Long Short-Sequence Transformer (LSS Transformer), an efficient distributed training method tailored for transformer models with extended sequences. It segments long sequences among GPUs, with each GPU handling partial self-attention computations. LSS Transformer employs fused communication and a… Read More »This AI Research Unveils LSS Transformer: A Revolutionary AI Approach for Efficient Long Sequence Training in Transformers Adnan Hassan Artificial Intelligence Category – MarkTechPost

​ Models of visual language are strong and flexible. Next, token prediction may be used to create a variety of vision and cross-modality tasks, such as picture captioning, visual question answering, visual grounding, and even segmentation. As VLMs are scaled up, useful skills like in-context… Read More »Researchers from China Introduce CogVLM: A Powerful Open-Source Visual Language Foundation Model Aneesh Tickoo Artificial Intelligence Category – MarkTechPost

​ The recent development in the fields of Artificial Intelligence (AI) and Machine Learning (ML) models has turned the discussion of Artificial General Intelligence (AGI) into a matter of immediate practical importance. In computing science, Artificial General Intelligence, or AGI, is a crucial idea that… Read More »Google DeepMind Researchers Propose a Framework for Classifying the Capabilities and Behavior of Artificial General Intelligence (AGI) Models and their Precursors Tanya Malhotra Artificial Intelligence Category – MarkTechPost

​ Researchers from MIT, CarperAI, and Parametrix.AI introduced Neural MMO 2.0, a massively multi-agent environment for reinforcement learning research, emphasizing a versatile task system enabling users to define diverse objectives and reward signals. The key enhancement involves challenging researchers to train agents capable of generalizing… Read More »This AI Paper Introduces Neural MMO 2.0: Revolutionizing Reinforcement Learning with Flexible Task Systems and Procedural Generation Adnan Hassan Artificial Intelligence Category – MarkTechPost

​ Researchers from MIT and NVIDIA have formulated two techniques that accelerate the processing of sparse tensors (Tensors serve as fundamental data structures in machine learning models, acting as multi-dimensional arrays that organize and store data).  The goal of both new techniques is to take… Read More »Researchers from MIT and NVIDIA Developed Two Complementary Techniques that could Dramatically Boost the Speed and Performance of Demanding Machine Learning Tasks Rachit Ranjan Artificial Intelligence Category – MarkTechPost

​ A team of UC Berkeley and Stanford researchers have developed a new parameter-efficient fine-tuning method called Low-Rank Adaptation (LoRA) for deploying LLMs. S-LoRA was designed to enable the efficient deployment of many LoRA adapters. S-LoRA allows thousands of adapters to run on a single… Read More »A Team of UC Berkeley and Stanford Researchers Introduce S-LoRA: An Artificial Intelligence System Designed for the Scalable Serving of Many LoRA Adapters Adnan Hassan Artificial Intelligence Category – MarkTechPost

​ Hotkeys are keyboard shortcuts typically found in traditional desktop applications. A team of researchers from the University of Cambridge explores what makes for a suitable alternative to hotkeys in a 3D interaction space where keyboard input is no longer the only option. Scientists have… Read More »Researchers from Cambridge have Developed a Virtual Reality Application Using Machine Learning to Give Users the ‘Superhuman’ Ability to Open and Control Tools in Virtual Reality Dhanshree Shripad Shenwai Artificial Intelligence Category – MarkTechPost