LowFormer: A Highly Efficient Vision Backbone Model That Optimizes Throughput and Latency for Mobile and Edge Devices Without Sacrificing Accuracy Researchers at the University of Udine, Italy, introduced a new family of hardware-efficient backbone networks called LowFormer to

Chai-1 Released by Chai Discovery Team: A Groundbreaking Multi-Modal Foundation Model Set to Transform Drug Discovery and Biological Engineering with Revolutionary Molecular Structure Prediction The Chai Discovery team announced the launch of Chai-1, a groundbreaking multi-modal

NVIDIA Researchers Introduce Order-Preserving Retrieval-Augmented Generation (OP-RAG) for Enhanced Long-Context Question Answering with Large Language Models (LLMs) Researchers from NVIDIA, based in Santa Clara, California, proposed an order-preserve retrieval-augmented

AtScale Open-Sourced Semantic Modeling Language (SML): Transforming Analytics with Industry-Standard Framework for Interoperability, Reusability, and Multidimensional Data Modeling Across Platforms AtScale has made a significant move by announcing the open-source release of its

CMU Researchers Introduce MMMU-Pro: An Advanced Version of the Massive Multi-discipline Multimodal Understanding and Reasoning (MMMU) Benchmark for Evaluating Multimodal Understanding in AI Models Researchers from Carnegie Mellon University and other institutions introduced a

Learning by Self-Explaining (LSX): A Novel Approach to Enhancing AI Generalization and Faithful Model Explanations through Self-Refinement Learning by Self-Explaining (LSX) introduces a novel workflow for enhancing AI model learning, particularly in image classification. It

FPT Software AI Center Introduces HyperAgent: A Groundbreaking Generalist Agent System to Resolve Various Software Engineering Tasks at Scale, Achieving SOTA Performance on SWE-Bench and Defects4J Researchers from FPT Software AI Center, Viet Nam, introduce HyperAgent, a novel

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Apple Researchers Propose a Novel AI Algorithm to Optimize a Byte-Level Representation for Automatic Speech Recognition ASR and Compare it with UTF-8 Representation The state-of-the-art method reviewed by Apple researchers proposes a robust representation learning approach using

PowerLM-3B and PowerMoE-3B Released by IBM: Revolutionizing Language Models with 3 Billion Parameters and Advanced Power Scheduler for Efficient Large-Scale AI Training IBM’s release of PowerLM-3B and PowerMoE-3B signifies a significant leap in effort to improve the efficiency

Jina AI Released Reader-LM-0.5B and Reader-LM-1.5B: Revolutionizing HTML-to-Markdown Conversion with Multilingual, Long-Context, and Highly Efficient Small Language Models for Web Data Processing The release of Reader-LM-0.5B and Reader-LM-1.5B by Jina AI marks a significant