​ This post is written in collaboration with Balaji Chandrasekaran, Jennifer Cwagenberg and Andrew Sansom and Eiman Ebrahimi from Protopia AI. New and powerful large language models (LLMs) are changing businesses rapidly, improving efficiency and effectiveness for a variety of enterprise use cases. Speed is… Read More »Foundational data protection for enterprise LLM acceleration with Protopia AI Balaji Chandrasekaran AWS Machine Learning Blog

​ Diffusion models are used for generating high-quality samples from complex data distributions. Discriminative diffusion models aim to leverage the principles of diffusion models for tasks like classification or regression, where the goal is to predict labels or outputs for a given input data. By… Read More »CMU Researchers Unveil Diffusion-TTA: Elevating Discriminative AI Models with Generative Feedback for Unparalleled Test-Time Adaptation Mohammad Arshad Artificial Intelligence Category – MarkTechPost

​ Researchers from the University of Southern California, the University of Washington, Bar-Ilan University, and Google Research introduced DreamSync, which addresses the problem of enhancing alignment and aesthetic appeal in diffusion-based text-to-image (T2I) models without the need for human annotation, model architecture modifications, or reinforcement… Read More »Meet DreamSync: A New Artificial Intelligence Framework to Improve Text-to-Image (T2I) Synthesis with Feedback from Image Understanding Models Adnan Hassan Artificial Intelligence Category – MarkTechPost

​ Human Activity Recognition (HAR) is a field of study that focuses on developing methods and techniques to automatically identify and classify human activities based on data collected from various sensors. HAR aims to enable machines like smartphones, wearable devices, or smart environments to understand… Read More »Deep Learning in Human Activity Recognition: This AI Research Introduces an Adaptive Approach with Raspberry Pi and LSTM for Enhanced, Location-Independent Accuracy Rachit Ranjan Artificial Intelligence Category – MarkTechPost

​ Recent progress in image generation leverages large-scale diffusion models trained on paired text and image data, incorporating diverse conditioning approaches for enhanced visual control. These methods range from explicit model conditioning to modifying pretrained architectures for new modalities. Fine-tuning text-conditioned models using extracted image… Read More »Google AI and Tel Aviv University Researchers Present an Artificial Intelligence Framework Uniting a Text-to-Image Diffusion Model with Specialized Lens Geometry for Image Rendering Adnan Hassan Artificial Intelligence Category – MarkTechPost

​ Multimodal pre-training advancements address diverse tasks, exemplified by models like LXMERT, UNITER, VinVL, Oscar, VilBert, and VLP. Models such as FLAN-T5, Vicuna, LLaVA, and more enhance instruction-following capabilities. Others like Flamingo, OpenFlamingo, Otter, and MetaVL explore in-context learning. While benchmarks like VQA focus on… Read More »Meet MMMU: A New AI Benchmark for Expert-Level Multimodal Challenges Paving the Path to Artificial General Intelligence Sana Hassan Artificial Intelligence Category – MarkTechPost

​ There are symmetries everywhere. The universal principles of physics hold in both space and time. They exhibit symmetry when spatial coordinates are translated, rotated, and shifted in time. Additionally, the system is symmetric about a permutation of the labels if several similar or equivalent… Read More »This AI Paper from Qualcomm AI Research Unveils EDGI: A Groundbreaking Equivariant Diffuser for Advanced Model-Based Reinforcement Learning and Efficient Planning Aneesh Tickoo Artificial Intelligence Category – MarkTechPost

​Posted by Robin Kothari and Rolando Somma, Research Scientists, Google Research, Quantum AI Team Quantum computers promise to solve some problems exponentially faster than classical computers, but there are only a handful of examples with such a dramatic speedup, such as Shor’s factoring algorithm and… Read More »A new quantum algorithm for classical mechanics with an exponential speedup Google AI Google AI Blog

​ In generative modeling, diffusion models (DMs) have assumed a pivotal role, facilitating recent progress in producing high-quality picture and video synthesis. Scalability and iterativeness are two of DMs’ main advantages; they enable them to do intricate tasks like picture creation from free-form text cues.… Read More »Stability AI Introduces Adversarial Diffusion Distillation (ADD): The Groundbreaking Method for High-Fidelity, Real-Time Image Synthesis in Minimal Steps Aneesh Tickoo Artificial Intelligence Category – MarkTechPost