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You Installed Hermes. Now Make It Look Better Than ChatGPT or Claude

The terminal is fine. But if you actually want to live in your Hermes agent, here are the four best GUIs the community has ...
Journal of Medical Internet Research

Digital Phenotyping for Adolescent Mental Health: Feasibility Study Using Machine Learning to Predict Mental Health Risk From Active and Passive Smartphone Data

Objective: This study evaluated the feasibility of using a smartphone app to predict mental health risks in non-clinical adolescents by integrating active and passive data streams within a machine ...

200,000 MCP servers expose a command execution flaw that Anthropic calls a feature

OX Security confirmed arbitrary command execution on six live platforms and estimates 200,000 MCP servers are exposed. Here's ...

One tool call to rule them all? New open source Python tool RunPod Flash eliminates containers for faster AI dev

With Flash GA, the company is attempting to transition from being a provider of raw compute to becoming the essential ...
How-To Geek on MSN

Stop fighting Windows to learn Python: Why WSL changes everything

Unleash the power of Python without giving up Windows.
Hosted on MSN

Why learning to code is easier than you think

Why learning to code is easier than you think You don’t need a powerful PC or years of experience to start coding. From Linux ...
IEEE

A Review on Lung Cancer Classification Using Deep Learning Techniques

Abstract: Cancer of the lung system is arguably the second largest factor in the worldwide fatality explosion. It originates from smoking too much and tobacco use. Uncontrolled cell growth in the lung ...
Journal of Medical Internet Research

Diabetic Foot Ulcer Classification Models Using Artificial Intelligence and Machine Learning Techniques: Systematic Review

The risk of bias was evaluated using the Quality In Prognosis Studies tool and the Prediction model Risk Of Bias Assessment Tool by 2 investigators (MMS and MAS) independently. A narrative synthesis ...
IEEE

FloodNet-Lite: A Lightweight Deep Learning for Flood Mapping Using Remote Sensing Data With Optimized UNet and Edge Deployment Approach in 6G

Abstract: Flood mapping using remote sensing data is critical to disaster response, especially in real-time monitoring and edge deployment. However, existing deep-learning (DL) models often face ...