Interview: From CUDA to Tile-Based Programming: NVIDIA’s Stephen Jones on Building the Future of AI
Source: MarkTechPost As AI models grow in complexity and hardware evolves to meet the demand, the software layer...
From Transformers to Associative Memory, How Titans and MIRAS Rethink Long Context Modeling
Source: MarkTechPost What comes after Transformers? Google Research is proposing a new way to give sequence models usable...
Cisco Released Cisco Time Series Model: Their First Open-Weights Foundation Model based on Decoder-only Transformer Architecture
Source: MarkTechPost Cisco and Splunk have introduced the Cisco Time Series Model, a univariate zero shot time series...
Google Colab Integrates KaggleHub for One Click Access to Kaggle Datasets, Models and Competitions
Source: MarkTechPost Google is closing an old gap between Kaggle and Colab. Colab now has a built in...
A Coding Implementation of a Complete Hierarchical Bayesian Regression Workflow in NumPyro Using JAX-Powered Inference and Posterior Predictive Analysis
Source: MarkTechPost In this tutorial, we explore hierarchical Bayesian regression with NumPyro and walk through the entire workflow...
Microsoft AI Releases VibeVoice-Realtime: A Lightweight Real‑Time Text-to-Speech Model Supporting Streaming Text Input and Robust Long-Form Speech Generation
Source: MarkTechPost Microsoft has released VibeVoice-Realtime-0.5B, a real time text to speech model that works with streaming text...
How to Build an Adaptive Meta-Reasoning Agent That Dynamically Chooses Between Fast, Deep, and Tool-Based Thinking Strategies
Source: MarkTechPost We begin this tutorial by building a meta-reasoning agent that decides how to think before it...
OpenAGI Foundation Launches Lux: A Foundation Computer Use Model that Tops Online Mind2Web with OSGym At Scale
Source: MarkTechPost How do you turn slow, manual click work across browsers and desktops into a reliable, automated...
Kernel Principal Component Analysis (PCA): Explained with an Example
Source: MarkTechPost Dimensionality reduction techniques like PCA work wonderfully when datasets are linearly separable—but they break down the...
How to Design a Fully Local Multi-Agent Orchestration System Using TinyLlama for Intelligent Task Decomposition and Autonomous Collaboration
Source: MarkTechPost In this tutorial, we explore how we can orchestrate a team of specialized AI agents locally...