MIT’s new ‘recursive’ framework lets LLMs process 10 million tokens without context rot

While standard models suffer from context rot as data grows, MIT’s new Recursive Language Model (RLM) framework treats ...

10 things I learned from burning myself out with AI coding agents

Like all AI models based on the Transformer architecture, the large language models (LLMs) that underpin today’s coding ...
BeInCrypto

An In-Depth Review of Arcanum Pulse and the Future of Automated Trading

In-depth review of Arcanum Pulse, a non-custodial crypto trading bot on Telegram for Bybit. Features risk mitigation & a success-based fee model.

Data Historians: Turning ‘Digital Landfills’ Into Strategic Assets

In a recent installment of the International Society of Automation’s “Ask the Automation Pros” series, Erik Cornelsen, ...
InfoWorld

Which development platforms and tools should you learn now?

For software developers, choosing which technologies and skills to master next has never been more difficult. Experts offer ...
IEEE

Research on adaptive closed-loop combustion optimization control method of boiler under dynamic working condition based on mechanism modeling and deep learning learning

Abstract: In response to the strong nonlinearity, multiparameter coupling and dynamic operating conditions fluctuations in industrial combustion systems, the traditional single mechanism model has ...
IEEE

Robust Beamforming for Communication and Control Co-Design in Multi-Loop Wireless Control System

Abstract: In this letter, a robust transmit scheme is proposed to facilitate the co-design of communication and control in multi-loop wireless control systems (WCS), where the controller equipped with ...
Microsoft

Cognitive Loop via In-Situ Optimization: Self-Adaptive Reasoning for Science

The capacity for artificial intelligence (AI) to formulate, evolve, and test altered thought patterns under dynamic conditions indicates advanced cognition that is crucial for scientific discovery.