AI9 min read
MIT develops reinforcement learning tools for complex societal challenges
MIT researchers use reinforcement learning to improve transportation systems and address complex societal problems.
From MIT News: artificial intelligence
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AI9 min read
MIT researchers use reinforcement learning to improve transportation systems and address complex societal problems.
From MIT News: artificial intelligence
AI2 min read
Researchers developed an AI that outperforms top human Stratego players. It is cheaper and faster to train than previous models.
From MIT News: artificial intelligence
Photo: Yan Krukau
Research1 min read
Algorithms & Theory
From Google Research blog
AI1 min read
In a study focusing on hiring decisions, MIT researchers found the use of a single algorithm by many firms could benefit job seekers in certain situations.
From MIT News: artificial intelligence
AI1 min read
The US government wants to spend $30.3 million over the next five years on an improved form of lie detector, according to a Department of Defense budget request. The program, called Polygraph+ or Polygraph Next, will focus on scoring alg...
From MIT Technology Review AI
Research1 min read
Algorithms & Theory
From Google Research blog
Research1 min read
T-GADE, a system using thermodynamic genetic algorithms and LLMs, evolved structured artifacts like code paired with descriptions. Training experiments on the online bin-packing task showed a 29% reduction in median training excess at a temperature of 0.003, validating the approach’s effectiveness.
From arXiv cs.AI
LLMs1 min read
A new evaluation scheme based on the Hüllermeier-Rifqi Index assesses phonetic encoding algorithms' conformity to word-based transcriptions in IPA, using normalized edit distance and a random string adjustment.
From arXiv cs.CL
Research1 min read
This study applies machine learning algorithms to classify power system security levels, utilizing data from contingency scenarios with various preprocessing techniques to improve accuracy.
From arXiv cs.AI
AI1 min read
A new algorithm can anticipate rare and extreme scenarios for infrastructure and supply chains without relying on historical extreme data.
From MIT News: artificial intelligence
Research2 min read
Google Research introduces Mobility-Embedded POIs (ME-POIs), a framework that integrates mobility patterns with language models to improve predictions about place attributes like operating hours and busyness. This approach addresses data sparsity and enhances model accuracy.
From Google Research blog
LLMs2 min read
A new textbook, ‘Reinforcement Learning from Human Feedback,’ provides foundational knowledge for engineers working with post-training LLM alignment techniques. It includes a 12-hour course, code examples, and is 50% off until August 19th.
From Interconnects
AI1 min read
Researchers developed an automated framework that helps AI models generate CAD programs more accurately and efficiently.
From MIT News: artificial intelligence
Research1 min read
Algorithms & Theory
From Google Research blog
AI1 min read
Through research and entrepreneurship, Professor Devavrat Shah is helping to design methods that can handle constant decision-making using limited computational resources.
From MIT News: artificial intelligence
Posts are drafted from public feeds by models OpenSmartRoute routes to - the same router, skill and metering customers use - and always link to the original source. Corrections: support.
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