AI Interview Series #4: Transformers vs Mixture of Experts (MoE)
Source: MarkTechPost Question: MoE models contain far more parameters than Transformers, yet they can run faster at inference....
How to Build a Meta-Cognitive AI Agent That Dynamically Adjusts Its Own Reasoning Depth for Efficient Problem Solving
Source: MarkTechPost In this tutorial, we build an advanced meta-cognitive control agent that learns how to regulate its...
A smarter way for large language models to think about hard problems
Source: MIT News – Artificial intelligence To make large language models (LLMs) more accurate when answering harder questions,...
MIT engineers design an aerial microrobot that can fly as fast as a bumblebee
Source: MIT News – Artificial intelligence In the future, tiny flying robots could be deployed to aid in...
Helping power-system planners prepare for an unknown future
Source: MIT News – Artificial intelligence A new computer modeling tool developed by an MIT Energy Initiative (MITEI)...
NVIDIA and Mistral AI Bring 10x Faster Inference for the Mistral 3 Family on GB200 NVL72 GPU Systems
Source: MarkTechPost NVIDIA announced today a significant expansion of its strategic collaboration with Mistral AI. This partnership coincides...
How We Learn Step-Level Rewards from Preferences to Solve Sparse-Reward Environments Using Online Process Reward Learning
Source: MarkTechPost In this tutorial, we explore Online Process Reward Learning (OPRL) and demonstrate how we can learn...
Google DeepMind Researchers Introduce Evo-Memory Benchmark and ReMem Framework for Experience Reuse in LLM Agents
Source: MarkTechPost Large language model agents are starting to store everything they see, but can they actually improve...
New control system teaches soft robots the art of staying safe
Source: MIT News – Artificial intelligence Imagine having a continuum soft robotic arm bend around a bunch of...
DeepSeek Researchers Introduce DeepSeek-V3.2 and DeepSeek-V3.2-Speciale for Long Context Reasoning and Agentic Workloads
Source: MarkTechPost How do you get GPT-5-level reasoning on real long-context, tool-using workloads without paying the quadratic attention...