​ 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 to deep networks’ skill at discovering compressible low-dimensional structures in data and subsequently transforming… Read More »UC Berkeley Researchers Propose CRATE: A Novel White-Box Transformer for Efficient Data Compression and Sparsification in Deep Learning Dhanshree Shripad Shenwai Artificial Intelligence Category – MarkTechPost

​ 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 because of irrelevant context or exhibit an issue called sycophancy, where the model agrees… Read More »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 Asif Razzaq Artificial Intelligence Category – MarkTechPost

​ 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 a few imperfect information poker variations. By combining directed search, self-play learning, and game-theoretic… Read More »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 Dhanshree Shripad Shenwai Artificial Intelligence Category – MarkTechPost

​ 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 inspiration from the brain’s remarkable efficiency in processing data. The crux, highlighted in the… Read More »Meet snnTorch: An Open-Source Python Package for Performing Gradient-based Learning with Spiking Neural Networks Madhur Garg Artificial Intelligence Category – MarkTechPost

​ 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 to explore the task of controllable human image generation. Early methods either relied on… Read More »Meet HyperHuman: A Novel AI Framework for Hyper-Realistic Human Generation with Latent Structural Diffusion Daniele Lorenzi Artificial Intelligence Category – MarkTechPost

​ 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 model’s ability to generalize to new, unseen examples. Creating variations of existing samples prevents… Read More »This AI Research Proposes Random Slices Mixing Data Augmentation (RSMDA) for Superior Image Classification: A Novel Approach to Enhancing Neural Network Accuracy and Robustness Mahmoud Ghorbel Artificial Intelligence Category – MarkTechPost

​ 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 is concurrent with LLMs’ quick development is their propensity to induce hallucinations, leading to… Read More »This AI Research from China Explores the Illusionary Mind of AI: A Deep Dive into Hallucinations in Large Language Models Aneesh Tickoo Artificial Intelligence Category – MarkTechPost

​ 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 have low vision by leveraging on-device machine learning (ML) on Google Pixel phones, enabling… Read More »Google Announce the Open Source Release of Project Guideline: Revolutionizing Accessibility with On-Device Machine Learning for Independent Mobility Madhur Garg Artificial Intelligence Category – MarkTechPost

​ 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, Natural Language Understanding, and Natural Language Generation have paved the way for a wide… Read More »Choosing the Right Whisper Model: When To Use Whisper v2, Whisper v3, and Distilled Whisper? Tanya Malhotra Artificial Intelligence Category – MarkTechPost

​ Researchers from Genentech introduced tumor dynamic neural-ODE (TDNODE) as a pharmacology-informed neural network for enhancing tumor dynamic modeling in oncology drug development. Overcoming the limitations of existing models, TDNODE allows unbiased predictions from truncated data. Its encoder-decoder architecture expresses an underlying dynamical law with… Read More »Researchers from Genentech Propose A Deep Learning Methodology to Discover a Predictive Tumor Dynamic Model from Longitudinal Clinical Data Adnan Hassan Artificial Intelligence Category – MarkTechPost