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2,493 papers
ABSTRACT In view of the development of semiconductor manufacturing technology to the sub-3nm nodes, traditional Electronic Design Automation (EDA) approaches face challenges when navigating through the huge search space associated with multi-objective optimization in the realm of Power, Performance, and Area (PPA). Cla...
Large language models encode behavioral constraints directly within their latent representations. Existing approaches to modifying these behaviors rely on parameter-level adjustments (Supervised Fine-Tuning, Reinforcement Learning from Human Feedback, or permanent weight abliteration). These irreversibly alter model we...
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.
Electric vehicles (EVs) have experienced vigorous development in recent years. However, their large‐scale integration into the power grid presents challenges related to the ‘curse of dimensionality’ and uncertainties, making it difficult to balance rapid grid demand response with the interests of EV users. To overcome...
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ABSTRACT In view of the development of semiconductor manufacturing technology to the sub-3nm nodes, traditional Electronic Design Automation (EDA) approaches face challenges when navigating through the huge search space associated with multi-objective optimization in the realm of Power, Performance, and Area (PPA). Cla...
In 1937, Jorge Luis Borges looked back some 650 years at Ramon Llull‘s machinic ars inveniendi. This is one of five essays that looks at contemporary learning machines through the lens of Borges‘s characteristically engimatic historical note and literary reflection. It examines the epistemological tension between deter...
EL-RAKHAWI DOCTRINE OF TOPOLOGICAL MORAL GRAVITY: EXECUTIVE SUMMARY This treatise establishes Topological Moral Gravity, reframing AI ethics from external rules to the fundamental geometry of the decision space. We prove standard gradient descent operates in a morally flat Euclidean space. Our solution: bending the dec...
EL-RAKHAWI DOCTRINE OF TOPOLOGICAL MORAL GRAVITY: EXECUTIVE SUMMARY This treatise establishes Topological Moral Gravity, reframing AI ethics from external rules to the fundamental geometry of the decision space. We prove standard gradient descent operates in a morally flat Euclidean space. Our solution: bending the dec...
This review-style study examines how reinforcement learning agents and graph neural networks are being integrated into gate-level logic synthesis for electronic design automation. It discusses how GNN-derived structural embeddings support pre-layout estimation of signal probability and switching activity, how RL agents...
This study highlights the potential of image-based reinforcement learning methods for addressing swarm-related tasks. In multi-agent reinforcement learning, effective policy learning depends on how agents sense, interpret, and process local inputs. Traditional approaches often rely on handcrafted feature extraction...
CVP-HDDQN is the software companion to the manuscript Auction-state representation and expiring advice for hierarchical reinforcement learning in gold futures. Version 1.0.0 is a code-only release containing the original model, feature, learner and execution-ledger modules, selected historical Python implementation and...
CVP-HDDQN is the software companion to the manuscript Auction-state representation and expiring advice for hierarchical reinforcement learning in gold futures. Version 1.0.0 is a code-only release containing the original model, feature, learner and execution-ledger modules, selected historical Python implementation and...
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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