​[[{“value”:” Spatiotemporal prediction is a critical area of research in computer vision and artificial intelligence. It leverages historical data to predict future events. This technology has significant implications across various fields, such as meteorology, robotics, and autonomous vehicles. It aims to develop accurate models to… Read More »PredBench: A Comprehensive AI Benchmark for Evaluating 12 Spatio-Temporal Prediction Methods Across 15 Diverse Datasets with Multi-Dimensional Analysis Sana Hassan Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Large language models (LLMs) such as GPT-3 and Llama-2 have made significant strides in understanding and generating human language. These models boast billions of parameters, allowing them to perform complex tasks accurately. However, the substantial computational resources required for training and deploying these models… Read More »NVIDIA Researchers Introduce Flextron: A Network Architecture and Post-Training Model Optimization Framework Supporting Flexible AI Model Deployment Sana Hassan Artificial Intelligence Category – MarkTechPost

​[[{“value”:”We revisit the problem of designing scalable protocols for private statistics and private federated learning when each device holds its private data. Locally differentially private algorithms require little trust but are (provably) limited in their utility. Centrally differentially private algorithms can allow significantly better utility… Read More »Samplable Anonymous Aggregation for Private Federated Data Analytics Apple Machine Learning Research

​[[{“value”:” As digital commerce expands, fraud detection has become critical in protecting businesses and consumers engaging in online transactions. Implementing machine learning (ML) algorithms enables real-time analysis of high-volume transactional data to rapidly identify fraudulent activity. This advanced capability helps mitigate financial risks and safeguard… Read More »How Deloitte Italy built a digital payments fraud detection solution using quantum machine learning and Amazon Braket Federica Marini AWS Machine Learning Blog

​[[{“value”:” In the rapidly developing field of audio synthesis, Nvidia has recently introduced BigVGAN v2. This neural vocoder breaks previous records for audio creation speed, quality, and adaptability by converting Mel spectrograms into high-fidelity waveforms. This team has thoroughly examined the main enhancements and ideas… Read More »Nvidia AI Releases BigVGAN v2: A State-of-the-Art Neural Vocoder Transforming Audio Synthesis Tanya Malhotra Artificial Intelligence Category – MarkTechPost

​[[{“value”:” AWS announced the availability of the Cohere Command R fine-tuning model on Amazon SageMaker. This latest addition to the SageMaker suite of machine learning (ML) capabilities empowers enterprises to harness the power of large language models (LLMs) and unlock their full potential for a… Read More »Amazon SageMaker unveils the Cohere Command R fine-tuning model Shashi Raina AWS Machine Learning Blog

​[[{“value”:” As a customer, you rely on Amazon Web Services (AWS) expertise to be available and understand your specific environment and operations. Today, you might implement manual processes to summarize lessons learned, obtain recommendations, or expedite the resolution of an incident. This can be time… Read More »Derive meaningful and actionable operational insights from AWS Using Amazon Q Business Chitresh Saxena AWS Machine Learning Blog

​[[{“value”:” Today, in a really interesting Reddit post, we saw someone comparing 9.9 vs 9.11 on various AI Chatbot Models (Llama 3 vs Claude vs Gpt 4o vs. Gemini). So, we tried asking these models, and we found these interesting findings We asked Llama 3:‘Is… Read More »Is 9.11 larger than 9.9? Comparison on Llama 3 vs Claude vs Gpt 4o vs Gemini Asif Razzaq Artificial Intelligence Category – MarkTechPost

​[[{“value”:” This paper addresses the challenge of effectively evaluating language models (LMs). Evaluation is crucial for assessing model capabilities, tracking scientific progress, and informing model selection.  Traditional benchmarks often fail to highlight novel performance trends and are sometimes too easy for advanced models, providing little… Read More »AutoBencher: A Metrics-Driven AI Approach Towards Constructing New Datasets for Language Models Shreya Maji Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Bioptimus, a French startup known for its innovative contributions to the medical field, has unveiled its latest groundbreaking project: H-optimus-0. This development marks a significant milestone in artificial intelligence (AI) for pathology. Launched less than five months after the company’s inception, H-optimus-0 stands as… Read More »Bioptimus Unveils H-optimus-0: A New State-of-the-Art Open-Source Foundation AI Model for Pathology Asif Razzaq Artificial Intelligence Category – MarkTechPost