Chemically tuning nanographene into topological spin chains and why the ends matter

When most people hear "polymer," they think of plastics. In our group, polymerization is a way to line up identical molecules like beads on a string and let quantum mechanics take over. Put magnetic ...
Electronic Design

“Reinforcement Learning” Fuels the Rise of Adaptive Controllers

More engineers are turning to reinforcement learning to incorporate adaptive and self-tuning control into industrial systems. It aims to strike a balance between traditional ...

Letting atomic simulations learn from phase diagrams

A new computational method allows modern atomic models to learn from experimental thermodynamic data, according to a ...
Morning Overview on MSN

ChatGPT helps researchers explore ideas in particle physics

A team of physicists used ChatGPT to help crack a long-standing problem in quantum field theory, producing a new closed-form expression for single-minus gluon tree amplitudes that specialists had ...
Morningstar

GSV Releases 2026 GSV 150 Market Map Honoring the Most Transformational Growth Companies in Digital Learning and Workforce Skills

This year's GSV 150 reflects how the fusion of AI and education accelerates new learning models and modalities. This is evident in the rise of hyper-growth companies scaling globally, including ...
blockchain

Fine-tuning and Reinforcement Learning for LLMs: DeepLearning.AI Launches Advanced Post-training Course with AMD

According to DeepLearning.AI (@DeepLearningAI), a new course titled 'Fine-tuning and Reinforcement Learning for LLMs: Intro to Post-training' has been launched in partnership with AMD and taught by ...
Geeky Gadgets

Grok 5 : The Shocking AGI Breakthrough No One’s Talking About

What if the most profound leap toward Artificial General Intelligence (AGI) wasn’t a headline-grabbing announcement, but a quiet breakthrough flying under the radar? Enter Grok 5, a development that ...
VentureBeat

Nvidia researchers boost LLMs reasoning skills by getting them to 'think' during pre-training

Researchers at Nvidia have developed a new technique that flips the script on how large language models (LLMs) learn to reason. The method, called reinforcement learning pre-training (RLP), integrates ...
marktechpost

A New MIT Study Shows Reinforcement Learning Minimizes Catastrophic Forgetting Compared to Supervised Fine-Tuning

What is catastrophic forgetting in foundation models? Foundation models excel in diverse domains but are largely static once deployed. Fine-tuning on new tasks often introduces catastrophic forgetting ...
GitHub

Reinforcement Learning Tuning for VideoLLMs: Reward Design and Data Efficiency

Understanding real-world videos with complex semantics and long temporal dependencies remains a fundamental challenge in computer vision. Recent progress in multimodal large language models (MLLMs) ...
IEEE

Robust Deep Learning for Pulse-Echo Speed of Sound Imaging via Time-Shift Maps

Abstract: Accurately imaging the spatial distribution of longitudinal speed of sound (SoS) has a profound impact on image quality and the diagnostic value of ultrasound. Knowledge of SoS distribution ...