​[[{“value”:” Amazon Lookout for Equipment, the AWS machine learning (ML) service designed for industrial equipment predictive maintenance, will no longer be open to new customers effective October 17, 2024. Existing customers will be able to use the service (both using the AWS Management Console and… Read More »Preserve access and explore alternatives for Amazon Lookout for Equipment Stuart Gillen AWS Machine Learning Blog

​[[{“value”:” Generative Large Language Models (LLMs) are capable of in-context learning (ICL), which is the process of learning from examples given within a prompt. However, research on the precise principles underlying these models’ ICL performance is still underway. The inconsistent experimental results are one of… Read More »Learning and Knowledge Retrieval: A Comprehensive Framework for In-Context Learning in Large Language Models (LLMs) Tanya Malhotra Artificial Intelligence Category – MarkTechPost

​[[{“value”:” A new AI innovation hub for developers across Tunisia launched today in Novation City, a technology park that’s designed to cultivate a vibrant, innovation ecosystem in mechatronics — an industry encompassing IT, mechanics and electronics — and to foster synergy between education, research and… Read More »New AI Innovation Hub in Tunisia Drives Technological Advancement Across Africa Fatima Tambajang – Archives Page 1 | NVIDIA Blog

​[[{“value”:” Large language models (LLMs) like GPT-4 have become a significant focus in artificial intelligence due to their ability to handle various tasks, from generating text to solving complex mathematical problems. These models have demonstrated capabilities far beyond their original design, mainly to predict the… Read More »Microsoft Research Evaluates the Inconsistencies and Sensitivities of GPT-4 in Performing Deterministic Tasks: Analyzing the Impact of Minor Modifications on AI Performance Nikhil Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Predicting battery lifespan is difficult due to the nonlinear nature of capacity degradation and the uncertainty of operating conditions. As battery lifespan prediction is vital for the reliability and safety of systems like electric vehicles and energy storage, there is a growing need for… Read More »Deep Learning Approach for Lithium-Ion Battery Life Prediction via Dual-Stream Vision Transformer Pragati Jhunjhunwala Artificial Intelligence Category – MarkTechPost

​[[{“value”:” ML models are increasingly used in weather forecasting, offering accurate predictions and reduced computational costs compared to traditional numerical weather prediction (NWP) models. However, current ML models often have limitations such as coarse temporal resolution (usually 6 hours) and a narrow range of meteorological… Read More »FuXi-2.0: Advancement in Machine Learning ML-based Weather Forecasting for Practical Applications Sana Hassan Artificial Intelligence Category – MarkTechPost

​[[{“value”:” A significant challenge in text-to-speech (TTS) systems is the computational inefficiency of the Monotonic Alignment Search (MAS) algorithm, which is responsible for estimating alignments between text and speech sequences. MAS faces high time complexity, particularly when dealing with large inputs. The complexity is O(T×S),… Read More »What’s Slowing Down Text-to-Speech Systems—And How Can We Fix It? This AI Paper Present Super Monotonic Alignment Search Aswin Ak Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Prior research on Large Language Models (LLMs) demonstrated significant advancements in fluency and accuracy across various tasks, influencing sectors like healthcare and education. This progress sparked investigations into LLMs’ language understanding capabilities and associated risks. Hallucinations, defined as plausible but incorrect information generated by… Read More »Understanding the Inevitable Nature of Hallucinations in Large Language Models: A Call for Realistic Expectations and Management Strategies Shoaib Nazir Artificial Intelligence Category – MarkTechPost

​[[{“value”:” AI assistants have the drawback of being rigid, pre-programmed for specific tasks, and in need of more flexibility. The limited utility of these systems stems from their inability to learn and adapt as they are used. Some AI frameworks include hidden features and processes… Read More »Agent Zero: A Dynamic Agentic Framework Leveraging the Operating System as a Tool for Task Completion Niharika Singh Artificial Intelligence Category – MarkTechPost