Jina AI has released Jina-VLM, a 2.4B parameter vision language model that targets multilingual visual question answering and document understanding […]
Category: Artificial Intelligence
Interview: From CUDA to Tile-Based Programming: NVIDIA’s Stephen Jones on Building the Future of AI
As AI models grow in complexity and hardware evolves to meet the demand, the software layer connecting the two must […]
Meta has acquired Limitless, a startup that produces AI-powered wearables
Limitless has announced that it has been acquired by Meta. Formerly known as Rewind, Limitless is a company that says, […]
From Transformers to Associative Memory, How Titans and MIRAS Rethink Long Context Modeling
What comes after Transformers? Google Research is proposing a new way to give sequence models usable long term memory with […]
Cisco Released Cisco Time Series Model: Their First Open-Weights Foundation Model based on Decoder-only Transformer Architecture
Cisco and Splunk have introduced the Cisco Time Series Model, a univariate zero shot time series foundation model designed for […]
Google Colab Integrates KaggleHub for One Click Access to Kaggle Datasets, Models and Competitions
Google is closing an old gap between Kaggle and Colab. Colab now has a built in Data Explorer that lets […]
A Coding Implementation of a Complete Hierarchical Bayesian Regression Workflow in NumPyro Using JAX-Powered Inference and Posterior Predictive Analysis
In this tutorial, we explore hierarchical Bayesian regression with NumPyro and walk through the entire workflow in a structured manner. […]
Microsoft will let you remove AI Action from the Windows 11 context menu
Microsoft may wish that things were different, but not everyone is as enamoured with artificial intelligence as the company is. […]
Microsoft AI Releases VibeVoice-Realtime: A Lightweight Real‑Time Text-to-Speech Model Supporting Streaming Text Input and Robust Long-Form Speech Generation
Microsoft has released VibeVoice-Realtime-0.5B, a real time text to speech model that works with streaming text input and long form […]
Kernel Principal Component Analysis (PCA): Explained with an Example
Dimensionality reduction techniques like PCA work wonderfully when datasets are linearly separable—but they break down the moment nonlinear patterns appear. […]