Signals, in order.

The paper develops a mathematical core for Intelligence Form Space Theory, positing that intelligent organization can be described as a modal order of stably realizable forms independent of any particular physical, biological, or artificial substrate. It maps concrete realizations to relational morphological signatures represented as directed measure networks and uses Network Gromov–Wasserstein geometry to compare these signatures across independently arising systems. The resulting order is empirically testable through morphological convergence, performance gains, and predictive surplus, prov…

Source: OpenAlex

The study prospectively evaluates two LLM‑based screening algorithms, 5‑Tier and CAL‑X, integrated into the NeutrinoReview web application at CERN. Using 1,383 unique citations from a systematic review on indoor air quality in Italy, six screening runs were executed with the LLaMA 3.1‑8B model, yielding preliminary workload reductions between 36 % and 72 % while sensitivity assessment remains pending. Final analyses will compare algorithmic and human decisions, assess sensitivity and error patterns, and explore combined configurations, with all outputs time‑stamped and embargoed for transpare…

Source: OpenAlex

The study proposes a machine learning emulator that is highly interpretable for urban heat mitigation models. By classifying parameters into driving, local, and urban features, the method uses only urban features to assess cooling potential. Applied to a 2019 heat wave in Zurich, the approach improves prediction accuracy, especially when land‑use type splitting and past heat‑wave data are included, and identifies emissivity and surface albedo as actionable levers that could reduce air temperature by up to 1.68 °C and 1.32 °C respectively.

Source: OpenAlex

This research explores the integration of artificial intelligence and Internet of Things technologies to create climate-adaptive urban health surveillance systems in Morocco. It focuses on how AI-driven data analysis and IoT sensor networks can monitor environmental and health indicators to support smart city initiatives. The study aims to improve public health responses to climate-related challenges in urban settings.

Source: OpenAlex

EPFL researchers are developing robots that either reduce their own environmental footprint or actively contribute to sustainability challenges such as environmental monitoring, precision agriculture, and infrastructure maintenance. Projects include edible and biodegradable aquatic robots, bio‑inspired environmental monitoring platforms, and construction robotics that use reclaimed materials. The work proposes a new discipline, Sustainability Robotics, that evaluates robots on technical, environmental, social, and economic impacts.

Source: EPFL News

Researchers at the Paul Scherrer Institute PSI, ETH Zurich and the University of Amsterdam have directly observed the optical Magnus effect for the first time using a tightly focused laser beam on a single calcium ion. The effect shows that the strongest interaction occurs slightly off-center, a shift that depends only on the light wavelength. This observation could influence precise qubit control in quantum computers.

Source: Swiss Federal Government

Researchers at Anthropic used the Jacobian Lens to reconstruct internal representations in modern language models, identifying a functionally privileged organizational form called the J‑Space. Experiments show that information in the J‑Space persists across multiple processing steps and causally influences subsequent processing, with targeted interventions and ablations confirming its role. Subsequent work by Nanda et al. replicated key properties of the J‑Space in the Qwen model family, providing the first empirical basis for comparing organizational forms across AI systems.

Source: OpenAlex

Empa researchers in Dübendorf have documented a significant decline in metal corrosion rates over the past decades, with steel loss dropping from several tons per second worldwide to 100–150 g m⁻² yr⁻¹ in industrial sites and 30 g m⁻² yr⁻¹ at the Chaumont site. The study links reduced sulfur dioxide pollution to lower corrosion, while noting that other pollutants and climate change may still pose future risks. The research, part of the ICP Materials network, also monitors UNESCO World Heritage sites, estimating that air pollution accounts for up to 80 % of maintenance costs.

Source: Swiss Federal Government

This research focuses on integrating long-range physics into atomic-scale machine learning models. It is conducted in Switzerland. The study aims to improve predictive accuracy of atomic-scale simulations.

Source: opendata.swiss

The CRATER student initiative, founded around a year ago, has qualified for the European Rover Challenge 2026 for the first time. From 4 to 6 September, about 80 ETH students will compete in Poland with a rover and a drone that perform tasks similar to those of a Mars mission, applying their academic knowledge to real‑world robotic systems. The team aims to develop space‑ready robotic systems and provide practical experience in space exploration, while actively recruiting new ETH students for the next year.

Source: ETH Zurich News