​[[{“value”:” LLMs have shown notable improvements in mathematical reasoning by extending through natural language, resulting in performance gains on benchmarks such as MATH and AIME. However, reinforcement learning (RL) for training these models encounters a challenge: verifying the correctness of natural language proofs is very… Read More »ByteDance Introduces Seed-Prover: An Advanced Formal Reasoning System for Automated Mathematical Theorem Proving Sajjad Ansari Artificial Intelligence Category – MarkTechPost

​[[{“value”:” In this tutorial, we’ll explore a range of SHAP-IQ visualizations that provide insights into how a machine learning model arrives at its predictions. These visuals help break down complex model behavior into interpretable components—revealing both the individual and interactive contributions of features to a… Read More »Tutorial: Exploring SHAP-IQ Visualizations Arham Islam Artificial Intelligence Category – MarkTechPost

​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”:” 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