[[{“value”:” Posted by the TensorFlow team TensorFlow 2.18 has been released! Highlights of this release (and 2.17) include NumPy 2.0, LiteRT repository, CUDA Update, Hermetic CUDA and more. For the full release notes, please click here. Note: Release updates on the new multi-backend Keras will… Read More »What’s new in TensorFlow 2.18 noreply@blogger.com (TensorFlow Blog) The TensorFlow Blog
[[{“value”:” In the modern, cloud-centric business landscape, data is often scattered across numerous clouds and on-site systems. This fragmentation can complicate efforts by organizations to consolidate and analyze data for their machine learning (ML) initiatives. This post presents an architectural approach to extract data from… Read More »Import data from Google Cloud Platform BigQuery for no-code machine learning with Amazon SageMaker Canvas Amit Gautam AWS Machine Learning Blog
[[{“value”:” Real-world applications vary in inference requirements for their artificial intelligence and machine learning (AI/ML) solutions to optimize performance and reduce costs. Examples include financial systems processing transaction data streams, recommendation engines processing user activity data, and computer vision models processing video frames. In these… Read More »Customized model monitoring for near real-time batch inference with Amazon SageMaker Joe King AWS Machine Learning Blog
[[{“value”:” LLMWare.ai, a pioneer in deploying and fine-tuning Small Language Models (SLMs) announced today the launching of Model Depot in Hugging Face, one of the largest collections of SLMs that are optimized for Intel PCs. With over 100 models spanning multiple use cases such as… Read More »LLMWare Introduces Model Depot: An Extensive Collection of Small Language Models (SLMs) for Intel PCs Asif Razzaq Artificial Intelligence Category – MarkTechPost
[[{“value”:” Curious about the future of AI? Want to witness firsthand how AI can generate creative text, code, or even art? AI playgrounds offer a hands-on experience to explore the limitless possibilities of artificial intelligence. Here is a list of ten free platforms that empower… Read More »Top 10 Free AI Playgrounds For You to Try Pragati Jhunjhunwala Artificial Intelligence Category – MarkTechPost
[[{“value”:” Home Table of Contents NeRFs Explained: Goodbye Photogrammetry? How Do NeRFs Work? Block #A: We Begin with a 5D Input Block #B: The Neural Network and Its Output Block #C: Volumetric Rendering The NeRF Problem and Evolutions Summary and Next Steps Next Steps Citation… Read More »NeRFs Explained: Goodbye Photogrammetry? Jeremy Cohen PyImageSearch
[[{“value”:” Probabilistic diffusion models have become essential for generating complex data structures such as images & videos. These models transform random noise into structured data, achieving high realism and utility across various domains. The model operates through two phases: a forward phase that gradually corrupts… Read More »This AI Paper Introduces Optimal Covariance Matching for Efficient Diffusion Models Nikhil Artificial Intelligence Category – MarkTechPost
[[{“value”:” When applying Reinforcement Learning (RL) to real-world applications, two key challenges are often faced during this process. Firstly, the constant online interaction and update cycle in RL places major engineering demands on large systems designed to work with static ML models needing only occasional… Read More »Google AI Introduces Iterative BC-Max: A New Machine Learning Technique that Reduces the Size of Compiled Binary Files by Optimizing Inlining Decisions Divyesh Vitthal Jawkhede Artificial Intelligence Category – MarkTechPost
[[{“value”:” Geometry problem-solving relies heavily on advanced reasoning skills to interpret visual inputs, process questions, and apply mathematical formulas accurately. Although vision-language models (VLMs) have shown progress in multimodal tasks, they still face significant limitations with geometry, particularly in executing unfamiliar mathematical operations, like calculating… Read More »GeoCoder: Enhancing Geometric Reasoning in Vision-Language Models through Modular Code-Finetuning and Retrieval-Augmented Memory Sana Hassan Artificial Intelligence Category – MarkTechPost
[[{“value”:” The efficient training of vision models is still a major challenge in AI because Transformer-based models suffer from computational bottlenecks due to the quadratic complexity of self-attention mechanisms. Also, the ViTs, although extremely promising results on hard vision tasks, require extensive computational and memory… Read More »Researchers at the Ohio State University Introduce Famba-V: A Cross-Layer Token Fusion Technique that Enhances the Training Efficiency of Vision Mamba Models Aswin Ak Artificial Intelligence Category – MarkTechPost