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Self-Organising Digital Circuits
arXiv:2608.02606v1 Announce Type: new Abstract: Fault tolerance in classical computing has traditionally relied on static strategies like hardware redundancy and error-correcting codes. Biological systems, in contrast, exhibit adaptive plasticity, maintaining function through dynamic re-organisation around damage. Inspired by this principle, we introduce Self-Organising Digital Circuits, framing functional logic generation and maintenance as a meta-learning problem on graphs. Our architecture employs a topology-masked Transformer that configures the Lookup Tables (LUT) of a circuit's Boolean gates. Extending the pattern-generation paradigm of Neural Cellular Automata (NCA), it navigates the degenerate Boolean search space to satisfy a computational task, rather than regenerating a fixed target state. We demonstrate that it can self-assemble functional circuits from scratch and rapidly re-route logic around permanent, previously unseen hardware faults. For soft errors, the policy achiev
ISEE: Interactive Semantic Enrichment for Database Fields
arXiv:2608.02604v1 Announce Type: new Abstract: LLM-based agents are increasingly being deployed for data-related tasks, including data sense-making, exploration, and retrieval. However, their performance heavily depends on the clarity and completeness of data semantics. In practice, many field descriptions remain ambiguous or incomplete, as much of the essential context (e.g., the meaning of a customized field) originates from users' domain knowledge and is rarely documented publicly. This gap restricts the agents' task performance in downstream tasks, such as entity-linking. To bridge this gap, we introduce a novel and comprehensive Interactive SEmantic Enrichment system (ISEE). Given a data field description, ISEE measures its quality through a scoring system, gathers domain knowledge, and collaboratively enriches the semantics with users. Through a user study, automated user simulation, quantitative evaluation, and case study, we demonstrate that ISEE significantly reduces cognitiv
Multimodal Auto-regressive Transformer Surrogate for Modeling Variable Operations and Quantifying Uncertainty in Geological Carbon Storage
arXiv:2608.02629v1 Announce Type: new Abstract: The use of variable well perforation and injection strategies can improve the efficiency of geological carbon storage operations. We develop a new multimodal auto-regressive transformer surrogate to model these operations under geological uncertainty. A modified SEAM CO2 geomodel, which involves a faulted system with three stacked aquifers, is considered. The two injection wells are perforated in stages, from bottom to top, with the stage durations and individual well injection rates treated as control variables. The surrogate model processes three input modalities - the 3D geomodel, scalar parameters characterizing relative permeability functions, and control variables - through separate encoders. These are fused via self-attention in a transformer encoder, and a temporal decoder generates predictions auto-regressively through encoder-decoder cross-attention. The surrogate is trained, using 4000 GEOS flow simulations, to predict saturati
Stop Explaining Tasks 47 Times: Claude Cowork Now Learns by Watching You
Anthropic introduced Record a Skill. Just do your work, talk through your reasoning aloud, and let Claude distill it into a reusable Continue reading on Medium »
Start Your AI Career with a Free Internship
Every AI engineer starts as a beginner. The difference between those who land AI jobs and those who struggle often comes down to one thing Continue reading on Medium »
# I Built an AI Resume Analyzer — Here Are the Hard Problems Nobody Talks About
Most resume checkers are either too expensive, too generic, or send your sensitive data to unknown servers. I wanted to build something Continue reading on Medium »
AI Doesn't Need More Memory. It Needs the Ability to Forget.
For decades, artificial intelligence has been designed around a simple assumption: more memory leads to better intelligence.Continue reading on Medium »
After Losses, Retail Investors Flock to 3x Leverage as 2x Product Are Restricted
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Breathe Life Into Your Content: How AI Voice Can Skyrocket Your Impact
Ever poured your heart into a presentation or online course, only to hear a polite good job! and feel like your message just didn t Continue reading on Medium »
Eight Myths on Software Engineering and GenAI
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I’m the Person No-Code Was Built For. AI Won Anyway
Airtable s $2.25 billion exit closes a chapter that people like me lived inside.Continue reading on Medium »
Lucid’s turnaround plan hinges on $1.4B in cash savings, robotaxis
Lucid's new CEO Silvio Napoli listed four must-win priorities, including the successful launch of its midsize EV, finishing a factory in Saudi Arabia, cutting expenses, and robotaxis.