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Related Articles from SNS
The ASE-LSE Disagreement Landscape: An End-to-End Characterisation of Extremes and Structural Drivers
Announce Type: replace-cross Abstract: Two of the most widely used methods for analysing graph data, Adjacency Spectral Embedding and Laplacian Spectral Embedding, often produce different results when applied to the same graph. Yet the structural reasons behind this disagreement remain incompletely understood. This paper provides an end-to-end account of ASE-LSE latent subspace disagreement.
ASE-26: a curriculum for agentic software engineering as a discipline
arXiv:2606.01152v1 Announce Type: new Abstract: The work of a professional software engineer has begun to consist, increasingly, of directing agents rather than writing code, and the empirical evidence for the shift is now several years deep. Anthropic's Economic Index puts automation at 79 per cent of Claude Code interactions [2]; Handa and colleagues at Anthropic find AI exposure for Computer Programmer tasks at approximately 75 per cent of the role's distinct activities [3]; Brynjolfsson...
TeleSWEBench: A Commit-Driven Benchmark for Evaluating LLM-Powered Software Engineering in Telecommunications
Announce Type: new Abstract: With the telecommunications field embracing zero touch management alongside novel O-RAN and AI-RAN frameworks, contemporary telecom networks now function as immensely intricate and heavily softwareized codebases. While automated software engineering (ASE) tools and Software Engineering (SWE) Agents hold the potential to alleviate the critical code generation bottleneck in this domain, their ability to navigate and modify specialized, mathematically rigorous...
ESBMC: A Survey of Its Evolution, Integration, and Future Directions in Formal Software Verification
Announce Type: replace Abstract: The Efficient SMT-Based Context-Bounded Model Checker (ESBMC) has grown from a research prototype for verifying embedded ANSI-C software into one of the most versatile and industrially capable formal verification platforms available today. Since its first publication in 2009, ESBMC has undergone persistent evolution: expanding its verification techniques, widening its language support to nine front-ends, integrating industrial-strength SMT solvers, and - most...
MLIPilot: LLM-Driven Auto-Research for Machine-Learned Interatomic Potentials
arXiv:2605.30889v1 Announce Type: new Abstract: Constructing production-quality machine-learned interatomic potentials (MLIPs) requires balancing accuracy, dynamical stability, and computational throughput under constraints that are not captured by a single training loss. We introduce MLIPilot, an auto-research framework in which tool-calling large language models propose hypotheses, edit MLIP training code, launch HPC jobs, and accept or revert changes using a fixed, physically constrained...
Future Power Rankings: How all 68 Power 4 college football teams stack up
Projecting a college football program's future is harder than ever. Rosters and fortunes change dramatically and championship pathways are more open than ever. The assets that make a program great in 2026 might not be there in 2027.
Big 12 preview: Despite the drama, Texas Tech stil...
Back when the NIL era was in its nascent stages, with a new Big 12 and a 12-team College Football Playoff on the way, I wondered if there was room for the emergence of a Clemson-style dynasty from a conference known primarily for the endless number of close games. If some team could craft a recruiting boost from both solid spending and sustained success, perhaps they could ride that to a series of conference titles and, perhaps, even playoff runs? I admittedly didn't have a specific team in...
MLIPilot: LLM-Driven Auto-Research for Machine-Learned Interatomic Potentials
arXiv:2605.30889v1 Announce Type: cross Abstract: Constructing production-quality machine-learned interatomic potentials (MLIPs) requires balancing accuracy, dynamical stability, and computational throughput under constraints that are not captured by a single training loss. We introduce MLIPilot, an auto-research framework in which tool-calling large language models propose hypotheses, edit MLIP training code, launch HPC jobs, and accept or revert changes using a fixed, physically...
Who is Rounak Adhikary? The entrepreneur living every startup founder's dream
Most viral stories on the internet last a few days. This one took four years. Back in 2022, a young entrepreneur named Rounak Adhikary stood up at a public event, hoping to pitch his startup to Ashneer Grover.