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Machine learning reveals how to maximize biochar yield from algae

Researchers developed a machine learning framework that accurately predicts and optimizes biochar production from algae, identifying temperature as the dominant control on biochar yield. The model achieved strong agreement with experimental results and was able to pinpoint key factors influencing biochar production.

Study provides comprehensive insights into DNA language models

A study compares five DNA foundation language models across 57 diverse datasets to identify their strengths and weaknesses in predicting gene expression, identifying genomic components, and detecting harmful mutations. The findings highlight the importance of selecting appropriate models based on specific genomic tasks.

SAMSUNG T9 Portable SSD 2TB

SAMSUNG T9 Portable SSD 2TB transfers large imagery and model outputs quickly between field laptops, lab workstations, and secure archives.

Physics-based machine learning could unlock better 3D-printed materials

A new project aims to develop a computationally efficient model that accurately predicts how additive manufacturing process parameters influence the solidification microstructure of binary alloy solidification. This will enable optimization of additively manufactured parts with confidence in critical industries.

Revolutionary algorithm optimizes nuclear reactor radiation shielding design

A research team from the University of South China has developed a novel algorithm to optimize radiation-shielding design in nuclear reactors. The algorithm, based on a reference-point-selection strategy, efficiently solves many-objective optimization problems and provides optimized shielding solutions for new types of reactors.

DJI Air 3 (RC-N2)

DJI Air 3 (RC-N2) captures 4K mapping passes and environmental surveys with dual cameras, long flight time, and omnidirectional obstacle sensing.

Where should we place naloxone kits to save the most lives?

Researchers found that placing naloxone kits in transit stations could improve availability and save more lives. By optimizing distribution strategies using mathematical models, the team discovered that just 60 kits at 650 locations could cover over half of opioid poisonings in Vancouver.

Rigol DP832 Triple-Output Bench Power Supply

Rigol DP832 Triple-Output Bench Power Supply powers sensors, microcontrollers, and test circuits with programmable rails and stable outputs.

Black-box forgetting: A new method for tailoring large AI models

Researchers at Tokyo University of Science have developed a new method called black-box forgetting, which enables selective removal of unnecessary information from large pre-trained AI models. This approach enhances model efficiency and improves privacy by reducing computational resources and information leakage.

Anker Laptop Power Bank 25,000mAh (Triple 100W USB-C)

Anker Laptop Power Bank 25,000mAh (Triple 100W USB-C) keeps Macs, tablets, and meters powered during extended observing runs and remote surveys.

Automated method helps researchers quantify uncertainty in their predictions

Researchers have introduced an optimization technique that accelerates Bayesian inference without requiring extensive user effort. This new automated method achieves more accurate results faster than another popular approach and offers reliable uncertainty estimates to help scientists understand when to trust their predictions.

Developing next-gen traffic signal control systems with air quality in mind

Yu Yang's NSF-funded research aims to reduce vehicle emissions and promote the use of electric bikes and scooters by developing socially informed traffic signal control systems. The project involves a three-pronged method that uses low-cost mobile air-quality sensing, spatial-temporal graph diffusion learning, and reinforcement learnin...

Apple iPhone 17 Pro

Apple iPhone 17 Pro delivers top performance and advanced cameras for field documentation, data collection, and secure research communications.

Comfort with a smaller carbon footprint

Osaka University researchers have developed an AI-driven algorithm to control indoor heating and cooling systems, achieving significant energy savings of up to 30%. The system learns the symbolic relationships between variables, including power consumption, based on a large dataset, ensuring comfortable temperatures despite winter cond...

AmScope B120C-5M Compound Microscope

AmScope B120C-5M Compound Microscope supports teaching labs and QA checks with LED illumination, mechanical stage, and included 5MP camera.

Computational system streamlines the design of fluidic devices

A new computational tool can generate an optimal design for a complex fluidic device without requiring manual assumptions about its shape. The system uses anisotropic materials to represent tiny voxels, allowing it to create smooth curves and intricate designs that other methods cannot.

Fixing the noise problem in quantum computing

Xiu Yang, a 2022 NSF CAREER award recipient, is working on an algorithmic approach to model and overcome hardware errors in quantum computing. He aims to enable the technology to achieve its promise of unparalleled speed in solving complex problems.

Meta Quest 3 512GB

Meta Quest 3 512GB enables immersive mission planning, terrain rehearsal, and interactive STEM demos with high-resolution mixed-reality experiences.

Garmin GPSMAP 67i with inReach

Garmin GPSMAP 67i with inReach provides rugged GNSS navigation, satellite messaging, and SOS for backcountry geology and climate field teams.

Zhao and Cheng studying model-parallelism for large-scale deep learning

Zhao and Cheng are working on a project to develop new gradient-free methods for training various types of deep neural networks. They aim to create an algorithmic and theoretical framework for model parallelization based on gradient-free optimization, as well as efficient distributed workflow systems.

Partisan polarization helps Congress pass bills

A study from Michigan State University and the Max Planck Institute suggests that a partisan Congress is more productive than bipartisan groups. The research used mathematical programming models to analyze coalitions of lawmakers, finding that partisanship often helps bills pass into law.

Revamped crew scheduling model cuts airline delays by as much as 30%

A new mathematical optimization model introduced in the INFORMS journal Transportation Science can reduce extreme flight delays by as much as 20-30% on average, while increasing crew salary costs by only 2-3%. This approach allows airlines to balance delay reduction with buffer placement costs.

Sky & Telescope Pocket Sky Atlas, 2nd Edition

Sky & Telescope Pocket Sky Atlas, 2nd Edition is a durable star atlas for planning sessions, identifying targets, and teaching celestial navigation.

Obstacles to overcome before operating fleets of drones becomes reality

A team of researchers has developed a mathematical model to calculate the cost - time and energy - to complete a task based on the number of drones and recharging stations available. The model considers the energy required for each drone to complete its portion of the task and fly to a charging station as needed.

Post-disaster optimization technique capable of analyzing entire cities

A team of Lehigh engineers has created a novel method called AMIGO that considers multiple elements and is the first to factor in so many aspects. The algorithm demonstrates its effectiveness on transportation network recovery in an imagined post-earthquake San Diego, finding near-optimal solutions in a small number of trials.

Aranet4 Home CO2 Monitor

Aranet4 Home CO2 Monitor tracks ventilation quality in labs, classrooms, and conference rooms with long battery life and clear e-ink readouts.

Optimizing optimization algorithms

Researchers at MIT developed an algorithm to optimize optimization algorithms, guaranteeing the best possible solution for complex engineering problems. By using a Gaussian smoothing technique, they generate a sequence of simpler problems that progressively add complexity, ensuring convergence to a global minimum.

Engineering could give reconstructive surgery a facelift

Topology optimization enables creation of patient-specific, case-by-case designs for tissue-engineered bone replacements in facial reconstruction. The technique accounts for variables like blood flow and chewing forces to optimize structure and function.

GQ GMC-500Plus Geiger Counter

GQ GMC-500Plus Geiger Counter logs beta, gamma, and X-ray levels for environmental monitoring, training labs, and safety demonstrations.