Working with the traces of thought instead of the process of thinking means AI systems are limited – and they limit their users, too.
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Scientists build an electric motor from a single molecule; an ancient Archimedes screw inspires a machine that can reverse its rotation
Scientists have developed an electrically powered motor using a single molecule, drawing inspiration from the ancient Archimedes screw. The molecular machine can rotate when an electric voltage is applied, and researchers can reverse its direction by changing the voltage polarity.
World’s first 200 mm diamond crystal grown in US could boost AI chips
Diamond Foundry grows a 200 mm single-crystal diamond that could bring the material closer to advanced semiconductor manufacturing.
Theory predicting an older universe without dark matter or dark energy passes key cosmological tests
An alternative model in which the universe is 26.7 billion years old and needs neither dark matter nor dark energy has held up against several major cosmology tests, according to a new University of Ottawa study. The research, titled “A Big Bang Nucleosynthesis Consistency Test of the CCC+TL Cosmology,” is published in the journal Universe.
During 2025 and 2026, Rajendra Gupta, adjunct professor in uOttawa’s Department of Physics, and postdoctoral researcher Dr. Nikolaos Samaras tested the CCC+TL model against a range of important astronomical observations.
CCC+TL stands for “covarying coupling constants plus tired light.” The model suggests that what is usually attributed to dark matter and dark energy could instead come from evolving fundamental constants that govern how forces and particles interact.
NASA selects three companies for TDRSS replacement program
NASA has selected three companies for the next phase of an effort to provide a commercial replacement for its aging data-relay constellation.
Belief in Magic Is Not Disappearing in The Modern World, Study Shows
Imagine a house where footsteps supposedly echo through the hallways at night and doors close in empty rooms.
If you had to spend a night there, would explanations involving old floorboards and drafts be enough to settle your doubts?
As it happens, trusting a scientific explanation doesn’t necessarily close the door on ghosts.
18-year-old Quantum Computing Conjecture Solved in Just Three Days
Physical Superintelligence claims its research system proved an 18-year-old quantum computing conjecture in three days.
An electrochemical approach turns ammonia into pure hydrogen
As a liquid that is easily stored and transported, ammonia (NH3) is an attractive carrier for hydrogen, which is used in fuel cells, semiconductor manufacturing, chemical processing, and other applications. However, breaking ammonia into hydrogen and nitrogen typically requires high temperatures, and the resulting gas mixture must undergo additional purification before the hydrogen can be used in many applications.
MIT researchers have now developed an electrochemical approach to promote hydrogen release from ammonia while simultaneously separating and concentrating the hydrogen into a high-purity stream. Their strategy, which uses electricity to speed up the extraction, reduces the temperature and energy required to recover hydrogen from ammonia and other hydrogen carriers.
In a new study, the researchers showed that their approach can generate highly concentrated, pure streams of hydrogen.
Factor XIa Inhibition for Secondary Stroke Prevention
Could inhibiting factor XIa prevent secondary stroke without increasing bleeding risk?
An LLM-Augmented Framework for Risk-Informed Schedule Planning in Airside Construction Integrating CPM and Probabilistic Simulation
Construction scheduling in active airport environments is complicated by restricted work windows, operational access requirements, and dependencies that may not be fully reflected in conventional critical-path analysis. This study examines an LLM-augmented framework for identifying schedule vulnerabilities by combining Critical Path Method (CPM) indicators, a heuristic Baseline Risk Index (BRI), large language model (LLM) interpretation, and probabilistic duration analysis. The framework was examined through an anonymized airside rehabilitation project at a major U.S. airport, using 1,591 baseline schedule records and nine retrospective validation cases. Baseline schedule characteristics were analyzed separately from subsequent project outcomes to reduce hindsight bias. Monte Carlo simulation was applied at the activity level using provisional duration distributions and risk-event assumptions. The results revealed substantial differences in schedule flexibility across work packages. Work Package E had approximately 67% of its eligible activities within one to five days of total float and subsequently experienced a 32-day schedule variance. Work Package D recorded a 70-day variance, despite having lower low-float exposure. Meanwhile, the project’s substantial-completion milestone was achieved on its baseline target date. The LLM helped consolidate schedule-risk indicators into structured observations for planner review, although no independent improvement over conventional CPM and BRI analysis was demonstrated. The probabilistic results provided comparative activity-duration exposure rather than project completion forecasts. These findings suggest that combining conventional schedule measures with contextual risk screening and structured interpretation can support earlier recognition of localized vulnerabilities, while further validation is needed to establish measurable improvements in planning performance.
Large Language Models, Construction Scheduling, Airfield Construction, Schedule Risk, Critical Path Method, Monte Carlo Simulation, Probabilistic Scheduling, Risk-Informed Planning, Artificial Intelligence