Harvard Business Review

How to Successfully Automate in Manufacturing

Automation offers a way to address two interconnected challenges for Western manufacturers—lackluster productivity growth and labor shortages. But progress has been patchy, not because companies lack ...

AI lab assistant predicts material properties in seconds

A Johns Hopkins University engineer has developed a specialized AI tool that could do for materials scientists what ChatGPT ...
IEEE

Reinforcement Learning for Solving Colored Traveling Salesman Problems: An Entropy-Insensitive Attention Approach

Abstract: The utilization of neural network models for solving combinatorial optimization problems (COPs) has gained significant attention in recent years and has demonstrated encouraging outcomes in ...

New approach improves accuracy of quantum chemistry simulations using machine learning

A new trick for modeling molecules with quantum accuracy takes a step toward revealing the equation at the center of a ...
TipRanks on MSN

Why AI Models Are Becoming Harder to Train

To improve how their AI models learn, Anthropic and Microsoft-backed ($MSFT) OpenAI have focused on two main strategies.

Distillation Can Make AI Models Smaller and Cheaper

Much of the news coverage framed this possibility as a shock to the AI industry, implying that DeepSeek had discovered a new, ...

We Finally Know How Much It Cost to Train China’s Astonishing DeepSeek Model

DeepSeek found that it could improve the reasoning and outputs of its model simply by incentivizing it to perform a trial-and ...
SciELO

Development of FeCrNi medium entropy alloys with excellent mechanical properties and corrosion resistance

The development of low-cost high-entropy alloys is promising to address the demands of expanding industrial applications. In the present research, Co-free FeNiCr medium-entropy alloys were prepared by ...
IEEE

Historical Decision-Making Regularized Maximum Entropy Reinforcement Learning

Abstract: The challenge of the exploration-exploitation dilemma persists in off-policy reinforcement learning (RL) algorithms, impeding the improvement of policy performance and sample efficiency. To ...
Daily Leader

Entropy happens; plan smarter

Entropy is at work in our gardens. In spite of all our best planning and interventions, Mississippi gardens are constantly trying to revert to seemingly random, natural chaotic wilderness. It’s ...
The Commercial Dispatch

In the Garden with Felder: Entropy at work in the garden and how to fight back

Entropy is at work in our gardens. In spite of all our best planning and interventions, Mississippi gardens are constantly trying to revert to seemingly random, natural chaotic wilderness. It’s ...
GitHub

COME: Test-time Adaption by Conservatively Minimizing Entropy (ICLR'25)

This is the official implementation of COME: Test-time Adaption by Conservatively Minimizing Entropy on ICLR 2025. We propose Conservatively Minimizating Entropy (COME) as a simple drop-in refinement ...