Precision fermentation represents a frontier convergence of synthetic biology and process engineering, employing genetically modified microbial systems to biosynthesize tailored biomolecules—ranging from proteins, amino acids, and fatty acids to pigments, vitamins, and therapeutic intermediates. The integration of Arti...
C. P. Shirley, Immanuel Johnraja Jebadurai, Getzi Jeba Leelipushpam Paulraj et al.· Artificial Intelligence and...· 0 citations
**There are now two papers in this zenodo record. One is the Discovery RL NS, the snd is/are the closed form solutions for NS used. This paper records the architecture and research history of a supervised white-box reinforcement-learning discovery program developed for the four alternatives A--D in the official three-d...
fredrick michael· Zenodo (CERN European Organi...· 0 citations
This chapter presents a comprehensive analysis of real-world case studies that demonstrate the impact of artificial intelligence (AI) and machine learning (ML) technologies on sustainable bioenergy production. Bioenergy demonstrates potential as a renewable energy source, particularly in the context of global efforts t...
Elakkiya Elango, N. Gnanasankaran, Sundaravadivazhagan Balasubaramanian et al.· Artificial Intelligence and...· 0 citations
This repository contains the source code and reproducibility materials associated with the Privacy-Preserving Federated Ensemble Optimization (PP-FEO) framework for intrusion detection in distributed Cyber-Physical System (CPS) environments. The implementation includes data preprocessing and feature harmonization, the...
Dhanalakshmi B, P Tamije Selvy· Zenodo (CERN European Organi...· 0 citations
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System-one decision models — fast, non-generative networks that emit typed, calibrated probabilistic decisions for machine-to-machine pipelines, of which TypeSafe AI's Jev, trained by Reinforcement Learning for Calibrated Decisions (RLCD), is the announced instance — are audited by hop-level calibration on stationary h...
Anh Khoa Doan Ngoc· Zenodo (CERN European Organi...· 0 citations
System-one decision models — fast, non-generative networks that emit typed, calibrated probabilistic decisions for machine-to-machine pipelines, of which TypeSafe AI's Jev, trained by Reinforcement Learning for Calibrated Decisions (RLCD), is the announced instance — are audited by hop-level calibration on stationary h...
Anh Khoa Doan Ngoc· Zenodo (CERN European Organi...· 0 citations
본 논문은 재난 환경에서 4족 보행 로봇의 보행, 전도복귀 및 낙하착지를 단일 정책으로 통합하기 위한 제어 프레임워크를 제안한다. 기존의 단일 정책 공동 학습 방식은 상이한 목표를 동시에 다루는 과정에서 학습 시간과 난이도가 증가할 수 있으며, finite state machine(FSM) 기반 다중 정책 전환 방식은 모드 선택 및 전환 규칙에 의존한...
Sung Jae Han, Jung-Yup Kim· Transactions of the Korean S...· 0 citations
Smart grids today are highly decentralized and data-driven, with the growing incorporation of renewable energy resources, electric vehicles, distributed energy systems and intelligent edge devices. Energy efficiency, operational resilience, privacy protection and secure real-time coordination under renewable intermit...
Anuj Mangal, Gunaselvi Manohar, D. Seenivasan et al.· International Journal of Com...· 0 citations
This work formalizes the Free Inference dimension dFI(S,N), a combinatorial measure of the environmental complexity a VM agent can handle while preserving trajectory coherence, and proves dFI is strictly smaller than the VC-dimension and relates to the Natarajan dimension up to a path-length factor, capturing the cost...
L. Guedes, E. Haeusler· Lecture notes in computer sc...· 0 citations
We report a twenty-campaign experimental arc on the safety of a goal-directed, model-based causal agent. The first nine campaigns (v1–v9) built the agent and established that its explicit causal module solves the epistemic job it was designed for, while its reward conversion is a property of the world rather than of th...
Oxunjon Ubaydullayev, (autonomous research agent) Aiodam· Zenodo (CERN European Organi...· 0 citations
Pan–tilt–zoom (PTZ) cameras are central to visual counter-UAV surveillance: they steer the optical axis to keep a small, agile target centered and adequately resolved, which tightly couples perception with camera control in a closed loop. Learned PTZ controllers face three obstacles: temporal models that treat the obse...
Coordinated control of multiple soft robotic manipulators is challenging because continuous deformation, distributed actuation, and nonlinear dynamics increase both modeling and policy-learning complexity. This paper proposes a simulation-based reinforcement learning framework for coordinated shared-target tracking usi...
Hong-Fei Yu, Sheng-Kai Liu, Li-Si Liu et al.· Electronics· 0 citations
Learn how Google DeepMind and GovTech Singapore uses lightweight on-device Gemma models to intercept conversational scams in private chats with zero cloud data egress.
MIT News · Artificial Intelligence· news.mit.eduOct 13, 2026
Machine-learning networks can learn without detailed instructions from a designer. Those that do may offer insight into how the brain reorganizes itself during learning.
Microsoft Research Blog· microsoft.comOct 12, 2026
StudentSim is a research system for evaluating and improving AI tutoring tools before they are tested with learners. It models how individuals may engage with tutors, giving feedback to improve tutor performance across subjects like chess, writing, and mathematics. The post Simulating student learning for better AI tutoring appeared first on Microsoft Research.
MIT News · Artificial Intelligence· news.mit.eduOct 7, 2026
Students in MIT’s Concourse program delve deeply into the human condition, debate challenging questions, and learn to develop judgment about issues that can’t be quantified.
Training AI agents with reinforcement learning can be challenging because their tools, context, and decision-making are managed by complex frameworks. Agent Lightning connects existing agents to RL training, making it easier to improve them without rebuilding them. The post Agent Lightning v1.0: A 3,500-Line Lightweight Agentic RL Framework for Training Agents with Real Harnesses appeared first on Microsoft Research.
MIT News · Artificial Intelligence· news.mit.eduOct 6, 2026
