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2,493 papers
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...
This paper is a narrative literature review examining Dynamic Difficulty Adjustment (DDA) in video games. It covers the psychological foundations of DDA (Flow Theory and Self-Determination Theory), the main technical approaches used to implement it including rule-based methods, player modeling, reinforcement learning,...
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Project TALOS is an autonomous research intelligence platform powered by deep reinforcement learning (DDDQN), multi-tier LLM orchestration, and the Grey Wolf Optimizer (GWO). It conducts end-to-end scientific literature discovery and evaluation across 18 academic APIs.
Project TALOS is an autonomous research intelligence platform powered by deep reinforcement learning (DDDQN), multi-tier LLM orchestration, and the Grey Wolf Optimizer (GWO). It conducts end-to-end scientific literature discovery and evaluation across 18 academic APIs.
{ "upload_type": "software", "title": "CTAM-RL: Continual Threat-Aware Memory for Continual Reinforcement Learning in Autonomous Cyber Defense (v1.1.0)", "description": "Code, extracted attack profiles, and per-seed results for the manuscript 'A Continual Reinforcement Learning Framework for Autonomous Cyber Defense Un...
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...
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...
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...
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...
Prabha Jha used her experience with MIT Open Learning’s program for senior executives to develop AI solutions for her employer, Verizon, and to write a book.
Education Innovation
Assistant Professor Benjamin Lindquist studies how engineers deliberately injected randomness into early AI, giving rise to deep-learning models that sometimes hallucinate.
A Blog post by NVIDIA on Hugging Face
A Blog post by IBM Research on Hugging Face
A new machine-learning approach broke records for weather forecasting for an important time frame in emergency planning.
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