How Deductive AI saved DoorDash 1,000 engineering hours by automating software debugging

Deductive AI raises $7.5 million to automate software debugging with machine learning, helping engineers fix production ...

Meta’s SPICE framework lets AI systems teach themselves to reason

The self-play framework uses a 'Challenger' and a 'Reasoner' to create a self-improving loop, pushing the boundaries of AI ...

Meta’s SPICE framework pushes AI toward self-learning without human supervision

The new reinforcement learning system lets large language models challenge and improve themselves using real-world data ...
inc42

What Is Reinforcement Learning? Here’s All You Need to Know

Reinforcement learning is a subfield of machine learning concerned with how an intelligent agent can learn through trial and error to make optimal decisions in its ...
CIO

Salesforce unveils simulation environment for training AI agents

Verse uses synthetic data generation, stress testing, and reinforcement learning to train AI voice and text agents on ...
Edutopia

Fun Formative Assessment Activities Inspired by UDL

Varying the format of comprehension checks guides students to demonstrate learning and provides teachers feedback on progress ...
Android Police

Reinforcement learning from human feedback: What you need to know

Ryan Clancy is an engineering and tech (mainly, but not limited to those fields!!) freelance writer and blogger, with 5+ years of mechanical engineering experience and 10+ years of writing experience.
The Robot Report

AgiBot deploys its Real-World Reinforcement Learning system

AgiBot said its Real-World Reinforcement Learning system lets robots learn new skills in minutes on a pilot production line.