Frontiers

Computational Frameworks for Decision-Making: From Bayesian Inference to Reinforcement Learning Models

The ability to make adaptive decisions in uncertain environments is a fundamental characteristic of biological intelligence. Historically, computational ...
BMJ Open

Negative effects of mindfulness-based cognitive therapy and cognitive behavioural analysis system of psychotherapy for patients with ‘difficult to treat’ depression ...

Introduction Mindfulness-based interventions are widely used, yet concerns about potential negative effects—particularly those related to mindfulness meditation practice—have gained increasing ...
EurekAlert!

AI and foundation models pave the way for terahertz ultra-massive MIMO in 6G

Curious how AI powers 6G’s terahertz tech? A new Engineering study breaks down how deep learning, CSI foundation models and ...
IEEE

Probabilistic Fusion Framework Based on Fully Convolutional Networks and Graphical Models for Burnt Area Detection from Multiresolution Satellite and UAV Imagery

Abstract: Mapping areas affected by wildfires is an important task for fire disaster management. When dealing with these applications, it is common to have access to images of the same scene collected ...
The Next Web

Rise of model context protocol in the agentic era

We have all heard about model context protocol (MCP) in the context of artificial intelligence. In this article, we will dive into what MCP is and why it is becoming more important by the day. When ...
InfoQ

Google Researchers Propose Bayesian Teaching Method for Large Language Models

Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Dany Lepage discusses the architectural ...
Hosted on MSN

Inside Jeffrey Epstein’s global network of models

The newly released DOJ files are shedding more light on Jeffrey Epsteins alleged ties to the modeling industry and how it may have been used to recruit victims around the world. Emails between Epstein ...
Network World

Nvidia claims 10x cost savings with open-source inference models

Nvidia has released analysis showing a 4X to 10X reduction in cost per token for AI inferencing by switching to open source models. The cost discounts required combining Blackwell hardware with two ...
TechSpot

Nvidia DLSS 4.5 arrives with a new transformer model, improved visuals, and 6x multi-frame gen

Something to look forward to: The reports that Nvidia was to unveil DLSS 4.5 with 6x dynamic frame generation at CES have proved accurate. The company says that the update to its suite of AI-powered ...
VentureBeat

OpenAI experiment finds that sparse models could give AI builders the tools to debug neural networks

OpenAI researchers are experimenting with a new approach to designing neural networks, with the aim of making AI models easier to understand, debug, and govern. Sparse models can provide enterprises ...
Network World

Perplexity’s open-source tool to run trillion-parameter models without costly upgrades

TransferEngine enables GPU-to-GPU communication across AWS and Nvidia hardware, allowing trillion-parameter models to run on older systems. Perplexity AI has released an open-source software tool that ...
The New York Times

Tesla Reveals Cheaper Versions of Its Cars

Elon Musk’s electric car company said the new versions would start at around $37,000 and $40,000, prices that bring its cars closer to comparable gasoline vehicles. By Jack Ewing Tesla on Tuesday ...