- Tue. Nov 26th, 2024
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Stanford Researchers Introduce BLASTNet: The First Large Machine Learning Dataset for Fundamental Fluid Dynamics
Stanford researchers introduced a groundbreaking development named BLASTNet, heralding a new era in computational fluid dynamics (CFD). Still, it was a proof of concept that was not ready for machine…
UC Berkeley Researchers Propose CRATE: A Novel White-Box Transformer for Efficient Data Compression and Sparsification in Deep Learning
The practical success of deep learning in processing and modeling large amounts of high-dimensional and multi-modal data has grown exponentially in recent years. Much of this achievement can be attributed…
Meta Research Introduces System 2 Attention (S2A): An AI Technique that Enables an LLM to Decide on the Important Parts of the Input Context in Order to Generate Good Responses
Large Language Models (LLMs), although highly competent in a wide array of language tasks, often display weak reasoning capabilities by making very simple mistakes. They can sometimes make erroneous judgments…
Check Out This New AI System Called Student of Games (SoG) that is capable of both Beating Humans at a Variety of Games and Learning to Play New Ones
There is a long tradition of using games as AI performance indicators. Search and learning-based approaches performed well in various perfect information games, while game theory-based methods performed well in…
Meet snnTorch: An Open-Source Python Package for Performing Gradient-based Learning with Spiking Neural Networks
In artificial intelligence, efficiency, and environmental impact have become paramount concerns. Addressing this, Jason Eshraghian from UC Santa Cruz developed snnTorch, an open-source Python library implementing spiking neural networks, drawing…
Meet HyperHuman: A Novel AI Framework for Hyper-Realistic Human Generation with Latent Structural Diffusion
The generation of hyper-realistic human images from user-defined conditions, such as text and pose, is meaningful for various applications, including image animation and virtual try-ons. Numerous efforts have been made…
This AI Research Proposes Random Slices Mixing Data Augmentation (RSMDA) for Superior Image Classification: A Novel Approach to Enhancing Neural Network Accuracy and Robustness
Data augmentation is a critical technique in deep learning that involves creating new training data by modifying existing samples. It is essential because it diversifies the training data, improving the…
This AI Research from China Explores the Illusionary Mind of AI: A Deep Dive into Hallucinations in Large Language Models
Large language models have recently brought about a paradigm change in natural language processing, leading to previously unheard-of advancements in language creation, comprehension, and reasoning. However, a troubling tendency that…
Google Announce the Open Source Release of Project Guideline: Revolutionizing Accessibility with On-Device Machine Learning for Independent Mobility
Researchers have undertaken the formidable task of enhancing the independence of individuals with visual impairments through the innovative Project Guideline. This initiative seeks to empower people who are blind or…
Choosing the Right Whisper Model: When To Use Whisper v2, Whisper v3, and Distilled Whisper?
In the field of Artificial Intelligence and Machine Learning, speech recognition models are transforming the way people interact with technology. These models based on the powers of Natural Language Processing,…