A Coding Implementation to Train Safety-Critical Reinforcement Learning Agents Offline Using Conservative Q-Learning with d3rlpy and Fixed Historical Data
Source: MarkTechPost In this tutorial, we build a safety-critical reinforcement learning pipeline that learns entirely from fixed, offline...
Katie Spivakovsky wins 2026 Churchill Scholarship
Source: MIT News – Artificial intelligence MIT senior Katie Spivakovsky has been selected as a 2026-27 Churchill Scholar...
Counter intelligence
Source: MIT News – Artificial intelligence How can artificial intelligence step out of a screen and become something...
Qwen Team Releases Qwen3-Coder-Next: An Open-Weight Language Model Designed Specifically for Coding Agents and Local Development
Source: MarkTechPost Qwen team has just released Qwen3-Coder-Next, an open-weight language model designed for coding agents and local...
How to Build Advanced Quantum Algorithms Using Qrisp with Grover Search, Quantum Phase Estimation, and QAOA
Source: MarkTechPost In this tutorial, we present an advanced, hands-on tutorial that demonstrates how we use Qrisp to...
7 Advanced Feature Engineering Tricks Using LLM Embeddings
Source: MachineLearningMastery.com In this article, you will learn seven practical ways to turn generic LLM embeddings into task-specific,...
SMART launches new Wearable Imaging for Transforming Elderly Care research group
Source: MIT News – Artificial intelligence What if ultrasound imaging is no longer confined to hospitals? Patients with...
How to Build Multi-Layered LLM Safety Filters to Defend Against Adaptive, Paraphrased, and Adversarial Prompt Attacks
Source: MarkTechPost In this tutorial, we build a robust, multi-layered safety filter designed to defend large language models...
Google Releases Conductor: a context driven Gemini CLI extension that stores knowledge as Markdown and orchestrates agentic workflows
Source: MarkTechPost Google has introduced Conductor, an open source preview extension for Gemini CLI that turns AI code...
The Statistical Cost of Zero Padding in Convolutional Neural Networks (CNNs)
Source: MarkTechPost What is Zero Padding Zero padding is a technique used in convolutional neural networks where additional...