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Month: February 2024

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  • This AI Paper from UT Austin and JPMorgan Chase Unveils a Novel Algorithm for Machine Unlearning in Image-to-Image Generative Models

This AI Paper from UT Austin and JPMorgan Chase Unveils a Novel Algorithm for Machine Unlearning in Image-to-Image Generative Models

In an era where digital privacy has become paramount, the ability of artificial intelligence (AI) systems to forget specific data upon request is not just a technical challenge but a…

Meet Time-LLM: A Reprogramming Machine Learning Framework to Repurpose LLMs for General Time Series Forecasting with the Backbone Language Models Kept Intact

In the rapidly evolving data analysis landscape, the quest for robust time series forecasting models has taken a novel turn with the introduction of TIME-LLM, a pioneering framework developed by…

This AI Paper from Apple Proposes Acoustic Model Fusion to Drastically Cut Word Error Rates in Speech Recognition Systems

Significant improvements have been made in enhancing the accuracy and efficiency of Automatic Speech Recognition (ASR) systems. The recent research delves into integrating an external Acoustic Model (AM) into End-to-End…

AUKUS trial advances AI for military operations

The UK armed forces and Defence Science and Technology Laboratory (Dstl) recently collaborated with the militaries of Australia and the US as part of the AUKUS partnership in a landmark…

This AI Paper from China Introduces BGE-M3: A New Member to BGE Model Series with Multi-Linguality (100+ languages)

BAAI introduces BGE M3-Embedding with the help of researchers from the University of Science and Technology of China. The M3 refers to three novel properties of text embedding- Multi-Lingual, Multi-Functionality,…

Esker named in First-Ever Gartner® Magic Quadrant™ for S2P Suites

Esker, a global cloud platform and leader in AI-driven process automation solutions for Finance, Procurement and Customer Service functions, today announced that it has been recognized in the first-ever Gartner Magic Quadrant for Source-to-Pay…

Researchers from ETH Zurich and Microsoft Introduce EgoGen: A New Synthetic Data Generator that can Produce Accurate and Rich Ground-Truth Training Data for EgoCentric Perception Tasks

Understanding the world from a first-person perspective is essential in Augmented Reality (AR), as it introduces unique challenges and significant visual transformations compared to third-person views. While synthetic data has…

Meet CompAgent: A Training-Free AI Approach for Compositional Text-to-Image Generation with a Large Language Model (LLM) Agent as its Core

Text-to-image (T2I) generation is a rapidly evolving field within computer vision and artificial intelligence. It involves creating visual images from textual descriptions blending natural language processing and graphic visualization domains.…

Epson Robots to showcase Automation Solutions at ATX West 2024

Who: Epson Robots, the #1 SCARA robot manufacturer in the world, will be demonstrating its high performance SCARA robots and automation solutions at ATX West, the leading annual automation technology show, in booth…

Alchip Technologies demonstrates IC Ecosystem at Chiplet Summit

Showcase IP & Design Platform Success Ecosystem collaboration will be the key strategy to overcome the functional scaling, time-to-market, and economic challenges of heterogeneous chiplet integration, according to Alchip Technologies.…