One proposed mechanism, four components, many phenomena. This paper specifies the race-architecture for learning organisms — race-opening, recursive resolution, behaviour-as-a-manifested-route, and thermodynamic termination — and shows it recovers Yerkes-Dodson, the peak-end rule, substrate-graded expertise reversal, c...
Tomas Pødenphant Lund· Zenodo (CERN European Organi...· 0 citations
We test the gravitational-wave background (GWB) spectral consequences of the inter-containment framework against the corrected NANOGrav 15-year free-spectrum posteriors (v2.0.0, Zenodo 21844115; v1.x posteriors were biased by a parallel-tempering bug, erratum ApJL 1006 L67). Using the factorized ceffyl likelihood with...
wei Liu· Zenodo (CERN European Organi...· 0 citations
Code and analysis outputs supporting the manuscript. Every quantity reported in the paper is drawn from the JSON files in analysis/, each produced by a script in scripts/. The study uses three kinds of data: the complete on-chain USDT histories of the 490 addresses named in Israeli counter-terrorism seizure orders and...
Minimal Computing Cosmology 2.3.2 presents a cumulative cosmological framework built on the WRRA Core and the principle of minimum sufficient computation. The universe is not assumed to be uniquely designed, perfectly optimized, or metaphysically privileged. It is treated as a surviving execution structure that perform...
Wonsik Choi· Zenodo (CERN European Organi...· 0 citations
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The 2026 cycle added a three-day module on cloud and edge computing, delivered 21 to 23 July to all 17 Fellows. Each day paired a two-hour lecture with a one-hour hands-on workshop, and one scenario ran across all three days: a real-time flood early-warning system built from a network of USGS stream gauges.Day 1, Cloud...
Short Summary The BigLeak Hurrican Cosmology is an alternative model of the universe that tries to explain all major cosmological observations without Dark Matter, without Dark Energy, and without the Λ‑term. Instead of adding new particles or unknown energy forms, the model builds the universe from one single fundamen...
Harald Peter Joseph Engelhardt· Zenodo (CERN European Organi...· 0 citations
The 2026 cycle added a three-day module on cloud and edge computing, delivered 21 to 23 July to all 17 Fellows. Each day paired a two-hour lecture with a one-hour hands-on workshop, and one scenario ran across all three days: a real-time flood early-warning system built from a network of USGS stream gauges.Day 1, Cloud...
High-throughput inference for Large Language Models (LLMs) remains bottlenecked by memory bandwidth constraints and compute latency, particularly in hybrid edge-cloud topologies. This paper proposes an Adaptive Hybrid Quantization (AHQ) framework integrated with real-time speculative decoding. By dynamically allocating...
Bashar Mohammed Ali Ghaleb· Zenodo (CERN European Organi...· 0 citations
Physical Cybernetics: Restoring Substrate, Homeostasis, and Continuous Dynamics 70 Years After the Dartmouth Divergence Special 70th Anniversary Commemorative Treatise (1956–2026)Series: QN-PC-2026-V1.0 | Completed: August 2026 | Published: September 2026 Abstract Background: In the summer of 1956, the Dartmouth Summer...
Steven K· Zenodo (CERN European Organi...· 0 citations
Minimal Computing Cosmology 2.3.2 presents a cumulative cosmological framework built on the WRRA Core and the principle of minimum sufficient computation. The universe is not assumed to be uniquely designed, perfectly optimized, or metaphysically privileged. It is treated as a surviving execution structure that perform...
Wonsik Choi· Zenodo (CERN European Organi...· 0 citations
We test the gravitational-wave background (GWB) spectral consequences of the inter-containment framework against the corrected NANOGrav 15-year free-spectrum posteriors (v2.0.0, Zenodo 21844115; v1.x posteriors were biased by a parallel-tempering bug, erratum ApJL 1006 L67). Using the factorized ceffyl likelihood with...
wei Liu· Zenodo (CERN European Organi...· 0 citations
High-throughput inference for Large Language Models (LLMs) remains bottlenecked by memory bandwidth constraints and compute latency, particularly in hybrid edge-cloud topologies. This paper proposes an Adaptive Hybrid Quantization (AHQ) framework integrated with real-time speculative decoding. By dynamically allocating...
Bashar Mohammed Ali Ghaleb· Zenodo (CERN European Organi...· 0 citations
Jennifer Neville did not want to go into computer science—but that’s exactly where she landed. Neville discusses the starts and stops that led to her professional sweet spot and her work identifying “surprising failures” making it hard for AI to handle complexity. The post What AI gets wrong and what failure teaches us appeared first on Microsoft Research.
MIT News · Artificial Intelligence· news.mit.eduOct 2, 2026
