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2,544 papers
In the past, robots have been required to be explicitly programmed to carry out tasks. Learning robots differ from this notion by allowing them to learn from experience, which allows them to get better the more they perform a task. This chapter will covers the basics of learning in robotics and give an overview of how...
Simulation framework and reference implementations for the paper "A controlled benchmark of differentiable optimization and reinforcement learning for traffic engineering in transmission backhaul networks". The archive contains the implementations of all nine routing methods evaluated in the paper — a multi-commodity f...
This paper introduces Artificial F1, a computational framework that formalises a previously under-specified control layer in intelligent systems: pre-representational signal admission and valence structuring. Unlike standard approaches in reinforcement learning and attention-based architectures, which operate over a fi...
The rapid development of the Internet of Vehicles (IoV) has led to an exponential increase in the number of latency sensitive and computationally intensive tasks. Due to the limitations of onboard computing resources in vehicles, offloading these tasks generated during vehicle operation to a remote cloud for processi...
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📚 THE ARCHITECTURE OF PERMANENCE: From the Riemann Hypothesis to Deterministic Cognitive Engineering Overview Author: Frank Morales Aguilera, BEng, MEng, SMIEEE Affiliation: Sovereign Machine Laboratory (SOMALA), Montréal, Canada Year: 2026 Deterministic Seed: 123 This manuscript documents a single mathematical princi...
The findings demonstrate that combining deep representation learning with adaptive optimization improves classification accuracy and stability, offering practical value for sector-aware energy planning, load prioritization, and data-driven decision support in smart city energy management.
Prefabricated construction supply chains require coordinated scheduling across production, transportation, and assembly under transport uncertainty, storage constraints, and assembly precedence requirements. However, existing approaches rely on stage-isolated optimization, static heuristics, or black-box AI models that...
Abstract The “Post-Course-Competition-Certificate” (PCCC) integration model has emerged as a cornerstone of vocational education reform in China, yet its implementation in civil aviation vocational colleges is hindered by the absence of quantifiable fusion criteria, reliance on subjective evaluation practices, and the...
Experiments conducted in a controlled simulation environment show that BFGRL can effectively improve security, trust management, scalability, and operational efficienssssscy in blockchain-assisted smart EV networks.
Additive Manufacturing (AM), also known as 3D printing, has revolutionised traditional production methods by enabling layer-by-layer fabrication of complex geometries with reduced waste and enhanced customisation. This chapter provides a brief introduction to AM key processes such as Vat Photopolymerisation, Material E...
Purely machine learning‐based control strategies often suffer from the lack of safety guarantees. In this manuscript, we introduce a locally applied fallback controller to safeguard Deep Reinforcement Learning in dynamic environments. The fallback controller takes over whenever a safety criterion would otherwise be v...
Reliability-based design optimization (RBDO) is essential for the safe and economical operation of complex mechanical systems, whose time-dependent performance must continuously satisfy safety requirements under multi-source stochasticity and multiple progressive damage. However, conventional RBDO methods face an inher...
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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