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Machine learning shapes microwaves for a computer's eyes

Researchers at Duke University developed a new method to identify objects using microwaves that improves accuracy while reducing computing time and power requirements. The system uses machine-learning approach to jointly determine optimal hardware settings, cutting out the need for image analysis by humans.

SourceDuke University·JournalAdvanced Science·DateJan 9, 2020

Artificial intelligence as behavioral analyst

Researchers used high-speed cameras and computer algorithms to analyze the movements of larval zebrafish, identifying three distinct components of their prey capture behavior: orientation, approach, and capture. The study provides new insights into how the brain generates complex behaviors.

SourceMax-Planck-Gesellschaft·JournalCurrent Biology·DateDec 20, 2019

Rise of the bots: Stevens team completes first census of Wikipedia bots

Researchers at Stevens Institute of Technology have completed the first census of Wikipedia's 1,601 bots, shedding light on their functions and interactions with human users. The study found that bots play nine core roles, including fixers, connectors, and protectors, which together account for about 10% of all activity on the site.

SourceStevens Institute of Technology·JournalProceedings of the ACM on Human-Computer Interaction·DateNov 21, 2019

Bionic breakthrough

The Utah Bionic Leg, developed by the University of Utah, enables amputees to walk with more power and better balance. The prosthetic limb features sensors, motors, a computer processor, and artificial intelligence that work together to provide assistance during walking and other activities.

The fast dance of electron spins

Computer simulations reveal that certain metal complexes can exhibit rapid spin-flip processes, making them useful for precise control of electron spins in quantum computers. The study used enormous computational power to model the behavior of rhenium complex and found a spin-flip process taking place within ten femtoseconds.

SourceUniversity of Vienna·JournalChemical Science·DateOct 4, 2019

Mechanisms of real-time speech interpretation in the human brain revealed

Scientists developed computational models of word meanings and tested them against real-time brain activity in volunteers, revealing how the brain combines words to make sense in context. The study shows how word constraints directly affect meaning interpretation, highlighting the neural mechanisms behind spoken language understanding.

SourceUniversity of Cambridge·JournalProceedings of the National Academy of Sciences·DateSep 30, 2019

Share your goals -- but be careful whom you tell

Researchers at Ohio State University found that sharing career goals with someone perceived as having higher status increases motivation and goal achievement. In contrast, sharing with lower-status individuals has no positive effect. The study suggests that caring about what others think can drive goal commitment and performance.

SourceOhio State University·JournalJournal of Applied Psychology·DateSep 3, 2019

Machine learning helps predict if storms will cause blackouts

A Finnish research team developed a machine learning approach to predict storm severity, using data from power outages and storm characteristics. The algorithm achieved promising results in predicting class 0 no-damage storms and class 3 damaging storms, with plans to refine the model for winter storms.

SourceAalto University·JournalIEEE Transactions on Geoscience and Remote Sensing·DateAug 2, 2019

Reach out and touch someone

Researchers have created a prosthetic arm called the LUKE Arm, which can mimic human hand sensations, allowing amputees to pick up objects with greater precision. The arm uses a system of mathematical calculations and modeling to send biologically realistic signals to the brain, enabling users to feel touch, texture, and pressure.

SourceUniversity of Utah·JournalScience Robotics·DateJul 24, 2019

Developing technologies that run on light

Researchers at Stanford University have designed a photon diode that can only flow in one direction, enabling faster solutions to scientific, mathematical and economic problems. The device uses nanostructures and metasurfaces to manipulate light and break time-reversal symmetry.

SourceStanford University·JournalNature Communications·DateJul 24, 2019

Will your future computer be made using bacteria?

Scientists have developed a method to produce graphene materials using bacteria, overcoming a major hurdle in adopting this revolutionary nanomaterial. The bacterially-produced graphene material retains its amazing properties, making it suitable for innovative technologies such as field-effect transistor biosensors and conductive inks.

SourceUniversity of Rochester·JournalChemistryOpen·DateJul 10, 2019

'Oumuamua is not an alien spacecraft

A new study co-led by University of Maryland astronomer Matthew Knight suggests that the first known interstellar object, 'Oumuamua, has a purely natural origin. The research team analyzed existing data and found that 'Oumuamua's characteristics are more consistent with a comet or asteroid than an alien spacecraft.

SourceUniversity of Maryland·JournalNature Astronomy·DateJul 1, 2019