June 2026

Trajectory Releases a Concurrent Multi-LoRA Training Stack for Continual Learning, Reporting a 2.81× Experiment-Throughput Gain

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Trajectory’s concurrent multi-LoRA stack reports a 2.81× experiment-throughput gain over single-tenant RL, with all code in the NovaSky-AI/SkyRL GitHub repository. Most language models improve in discontinuous jumps. A team collects data, trains, and ships a new version. This takes months and produces remarkable or catastrophic behavior for users. Trajectory wants to replace that cycle with continual learning. The Trajectory team published a field report describing how. It built a concurrent, multi-LoRA training platform for continuously learning workloads. The […]

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A Coding Implementation on Loguru for Designing Robust, Structured, Concurrent, and Production-Ready Python Logging Pipelines

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In this tutorial, we implement a practical use case with Loguru, a powerful, flexible, and production-ready logging library for Python. We start by building a clean, idempotent logging setup that can be safely rerun without duplicating handlers or producing messy output. From there, we move step by step through structured logging, contextual logging, custom log levels, global patching, callable formatters, and in-memory sinks. We also handle real-world logging needs such as rich exception traces, JSON log files, custom […]

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Games people — and machines — play: Untangling strategic reasoning to advance AI

Games people — and machines — play: Untangling strategic reasoning to advance AI

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Gabriele Farina grew up in a small town in a hilly winemaking region of northern Italy. Neither of his parents had college degrees, and although both were convinced they “didn’t understand math,” Farina says, they bought him the technical books he wanted and didn’t discourage him from attending the science-oriented, rather than the classical, high school. By around age 14, Farina had focused on an idea that would prove foundational to his career. “I was fascinated very early […]

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Universal AI is “a pathway to AI fluency that’s accessible and approachable to anyone, anywhere”

Universal AI is “a pathway to AI fluency that’s accessible and approachable to anyone, anywhere”

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“Artificial intelligence is not just for computer scientists anymore; it’s going to permeate every aspect of our lives and influence every business,” says MIT President Sally Kornbluth.  The world is reaching an inflection point with artificial intelligence: over half of U.S. adults use generative AI — with 12 percent using it daily at work — and 88 percent of global organizations have integrated AI into at least one core function, up from 78 percent in 2024. AI knowledge is no longer […]

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Justin Solomon appointed associate dean of engineering education

Justin Solomon appointed associate dean of engineering education

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Justin Solomon, associate professor in the MIT Department of Electrical Engineering and Computer Science (EECS), has been appointed associate dean of engineering education in the MIT School of Engineering, effective July 1. In this new role, Solomon will focus on advancing innovation in engineering education across the school. He will help shape new pedagogical approaches in the context of an AI-enabled world and will explore experiential, hands-on, and other modes of learning. Working closely with academic departments, Solomon […]

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Building AI models that understand chemical principles

Building AI models that understand chemical principles

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Among all of the possible chemical compounds, it’s estimated that between 1020 and 1060 may hold potential as small-molecule drugs. Evaluating each of those compounds experimentally would be far too time-consuming for chemists. So, in recent years, researchers have begun using artificial intelligence to help identify compounds that could make good drug candidates.  One of those researchers is MIT Associate Professor Connor Coley PhD ’19, the Class of 1957 Career Development Associate Professor with shared appointments in the departments of […]

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