Edex Live on MSN

GATE 2027 DA preparation: Three-year question paper analysis reveals high-weightage topics and study priorities

Candidates preparing for the GATE 2027 Data Science and Artificial Intelligence (DA) paper can use the previous three ...
BIOENGINEER

Structured Python Framework Guides Nonprogramming Engineers Through Core Machine Learning Models

A comprehensive Python tutorial outlines an end-to-end framework enabling engineers without programming expertise to ...
BIOENGINEER

Infrared Framework Solves Complex Bioinformatics Problems Using Tree Decompositions

Researchers have introduced Infrared, a declarative Python framework that automates exact optimization and Boltzmann sampling ...
semgrep.dev

Introducing Semgrep Mandoline: Program Analysis Inside the Agent’s Reasoning Loop

Semgrep Mandoline gives AI agents fast program analysis across 50 languages, so they spend tokens reasoning about code ...
eu.36kr

Build the next-generation LLM inference engine oriented to Agentic reasoning

This in-depth guide systematically unveils the full technical roadmap of TokenSpeed, spanning every critical phase from ...
news.lavx.hu

FURSOY publishes open-source RISC-V core that boots Linux and hits 500 MHz in synthesis

FURSOY released Fursoy Slice-1, a 64-bit out-of-order superscalar RISC-V processor in SystemVerilog that boots Linux 6.6.50 ...

Hancho Part 10

External Apps as Big LocksMany desktop applications, not just Unity, but also those with massive plugin ecosystems, heavy project structures, plugin load orders, and conflicting resource management, ...

Trying out machine learning using scikit-learn and the Palmer Penguins dataset

IntroductionTo practice and master the machine learning I learned in class, I challenged myself to perform classification ...

I just built my first game in Twine – no code or AI required

Twine is a free, open-source dev tool for designing interactive fiction and text-based games. Turns out it's perfect for ...
GitHub

Social Media Emotional Dashboard (SMED)

This project, SMED, is a tool designed to analyze the emotional content of Instagram posts. It uses machine learning models to classify emotions and displays the results on a user-friendly dashboard.