This research explores how Artificial Intelligence can enhance the optimization of Arithmetic Logic Units (ALUs), which are crucial for processor speed, energy efficiency, and silicon area. Traditional ALU design relies on fixed architectures and rule-based heuristics, but the proposed framework integrates Graph Neural...
Jhon Rymr Agustin· Zenodo (CERN European Organi...· 0 citations
Safety-Aware DQN Variants for Lightweight Sensor-Based Collision Avoidance in Autonomous Vehicles This repository contains the official research software, experiment code, and datasets supporting the manuscript "Safety-Aware DQN Variants for Lightweight Sensor-Based Collision Avoidance in Autonomous Vehicles." Paper In...
Richky Abednego· Zenodo (CERN European Organi...· 0 citations
In rapidly changing technological environments, companies must effectively identify and evaluate technological changes to sustain their dynamic capabilities. The growing body of research on technology scanning and innovation trajectories makes it difficult to perform systematic literature reviews using traditional me...
Ali Nazari, Michael Weiss· Scientometrics· 0 citations
This research journal discusses how Artificial Intelligence (AI) and Machine Learning (ML) can enhance computer architecture design by addressing challenges in performance and energy efficiency. Traditional methods rely on expert intuition and exhaustive simulations, which are limited when exploring vast design spaces....
Marlyn Sto Domingo· Zenodo (CERN European Organi...· 0 citations
An action is an archetype: substantiated structure for how a thing is done, laid down by what doing it has resolved or produced. This paper states that commitment formally within the Language of Stress, a value-primitive theory of consciousness, and follows what it does. It is the treatment that the constraint map for...
The union of Artificial Intelligence and the Internet of Things (IoT) is transforming the way Computer-Aided Design (CAD) and Computer-Aided Manufacturing (CAM) systems are used in the Industry 4.0 production process. Based on the PRISMA 2020 reporting framework (Page et al., 2021), this report is a systematic literatu...
Madiba Krista Kundai, Madzimure Tatenda, Mafukidze Liberty et al.· World Journal of Advanced En...· 0 citations
Software issue resolution task aims to address real-world issues in software repositories based on natural language descriptions provided by users, representing a key aspect of software maintenance. With the rapid development of large language models (LLMs) in reasoning and generative capabilities, LLM-based approaches...
NLP and cognitive reasoning are combined to fulfill the increasing requirements of intelligent and explainable knowledge management. The goal is to create an adaptive framework, which would be able to conduct contextual semantic inference and intelligent knowledge discovery. The difference is in the fact that transform...
V. Mahalakshmi, R. Soumya, P. M. Suman et al.· 0 citations
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
