Ambisonics is a spatial audio format describing a sound field. First-order Ambisonics (FOA) is a popular format comprising only four channels. This limited channel count comes at the expense of spatial accuracy. Ideally one would be able to take the efficiency of a FOA format… Read More »Ambisonics Super-Resolution Using A Waveform-Domain Neural Network Apple Machine Learning Research
[[{“value”:” Artificial intelligence and machine learning workloads have fueled the evolution of specialized hardware to accelerate computation far beyond what traditional CPUs can offer. Each processing unit—CPU, GPU, NPU, TPU—plays a distinct role in the AI ecosystem, optimized for certain models, applications, or environments. Here’s… Read More »The Ultimate Guide to CPUs, GPUs, NPUs, and TPUs for AI/ML: Performance, Use Cases, and Key Differences Michal Sutter Artificial Intelligence Category – MarkTechPost
[[{“value”:” In this advanced Roboflow Supervision tutorial, we build a complete object detection pipeline with the Supervision library. We begin by setting up real-time object tracking using ByteTracker, adding detection smoothing, and defining polygon zones to monitor specific regions in a video stream. As we… Read More »Building an End-to-End Object Tracking and Analytics System with Roboflow Supervision Asif Razzaq Artificial Intelligence Category – MarkTechPost
[[{“value”:” Estimated reading time: 6 minutes Table of contents The Breakthrough: Contrastive Reinforcement Learning (Contrastive-RL) How Good Is CUDA-L1? Hard Data Business Impact: Why This Matters Technical Insights: Why Contrastive-RL Wins Table: Top Techniques Discovered by CUDA-L1 Conclusion: AI Is Now Its Own Optimization Engineer… Read More »DeepReinforce Team Introduces CUDA-L1: An Automated Reinforcement Learning (RL) Framework for CUDA Optimization Unlocking 3x More Power from GPUs Asif Razzaq Artificial Intelligence Category – MarkTechPost
[[{“value”:” MLE-STAR (Machine Learning Engineering via Search and Targeted Refinement) is a state-of-the-art agent system developed by Google Cloud researchers to automate complex machine learning ML pipeline design and optimization. By leveraging web-scale search, targeted code refinement, and robust checking modules, MLE-STAR achieves unparalleled performance… Read More »Google AI Releases MLE-STAR: A State-of-the-Art Machine Learning Engineering Agent Capable of Automating Various AI Tasks Asif Razzaq Artificial Intelligence Category – MarkTechPost
[[{“value”:” Training large-scale transformers stably has been a longstanding challenge in deep learning, particularly as models grow in size and expressivity. MIT researchers tackle a persistent problem at its root: the unstable growth of activations and loss spikes caused by unconstrained weight and activation norms.… Read More »MIT Researchers Develop Methods to Control Transformer Sensitivity with Provable Lipschitz Bounds and Muon Sana Hassan Artificial Intelligence Category – MarkTechPost
[[{“value”:” In this tutorial, we explore how to use the SHAP-IQ package to uncover and visualize feature interactions in machine learning models using Shapley Interaction Indices (SII), building on the foundation of traditional Shapley values. Shapley values are great for explaining individual feature contributions in… Read More »How to Use the SHAP-IQ Package to Uncover and Visualize Feature Interactions in Machine Learning Models Using Shapley Interaction Indices (SII) Arham Islam Artificial Intelligence Category – MarkTechPost
[[{“value”:” Experiment tracking is an essential part of modern machine learning workflows. Whether you’re tweaking hyperparameters, monitoring training metrics, or collaborating with colleagues, it’s crucial to have robust, flexible tools that make tracking experiments straightforward and insightful. However, many existing experiment tracking solutions require complex… Read More »Meet Trackio: The Free, Local-First, Open-Source Experiment Tracker Python Library that Simplifies and Enhances Machine Learning Workflows Asif Razzaq Artificial Intelligence Category – MarkTechPost
This post is divided into six parts; they are: • Why Transformer is Better than Seq2Seq • Data Preparation and Tokenization • Design of a Transformer Model • Building the Transformer Model • Causal Mask and Padding Mask • Training and Evaluation Traditional seq2seq models… Read More »Building a Transformer Model for Language Translation Adrian Tam MachineLearningMastery.com
[[{“value”:” At AWS Summit New York City 2025, Amazon Web Services (AWS) announced the preview of Amazon Bedrock AgentCore browser tool, a fully managed, pre-built cloud-based browser. This tool enables generative AI agents to interact seamlessly with websites. It addresses two fundamental limitations: first, foundation… Read More »Introducing Amazon Bedrock AgentCore Browser Tool Veda Raman Artificial Intelligence