Danish computer scientist has developed a superb algorithm for findin

One of the most classic algorithmic problems deals with calculating the shortest path between two points. A more complicated variant of the problem is when the route traverses a changing network–whether this be a road network or the internet. For…

Clemson, Nephron driving pharmaceutical manufacturing with new benchtop industrial robot

Drug shortages have plagued the health care system for decades. Even prior to COVID-19, hospitals incurred more than $400 million in labor costs and alternative treatment options due to national generic drug shortages, especially for those administered via injection. More…

VIMS scientists want to hear your fish tales… or at least see your photos

Researchers at William & Mary’s Virginia Institute of Marine Science are casting a wide net in search of fish photos. Their immediate goal is to use angler snapshots to train software to identify different fish species. Their ultimate goal is…

WE-TRANSFORM: Artificial and collective intelligence for the impact of automation

A European Horizon 2020 project coordinated by Professor Cristina Pronello of the Politecnico di Torino, brings together 34 partners around the world to find concrete solutions to the changing demand for skills in the work

Robotic systems for patient evaluation

What The Study Did: Researchers evaluated the feasibility and acceptability of using a mobile robotic system to perform health care tasks such as acquiring vital signs, obtaining nasal or oral swabs and facilitating contactless triage interviews of patients with potential…

Neural networks need more than neurons, new project posits

By encoding a feature of biological intelligence called reinforcement learning, in which we iteratively learn from successes and failures, “deep neural networks” (DNNs) have revolutionized artificial intelligence with spectacular demonstrations of mastery in Chess and Go. But they struggle to…

Can’t solve a riddle? The answer might lie in knowing what doesn’t work

Ever get stuck trying to solve a puzzle? You look for a pattern, or a rule, and you just can’t spot it. So you back up and start over. That’s your brain recognizing that your current strategy isn’t working, and…

Filming a 3D video of a virus with instantaneous light and AI

It is millions of trillions of times brighter than the sunlight and a whopping 1,000 trillionth of a second, appropriately called the instantaneous light. It is the X-ray Free Electron Laser (XFEL) light that opens a new scientific paradigm. Combining…

I-Seed project for intelligent biodegradable soft robots mimicking plant seeds behaviour

The project will develop intelligent seeds able to monitor environmental parameters. Coordinated by IIT’s researcher Barbara Mazzolai, it involves other 5 partners in Europe. The project has been funded with grant of 4-million euros by the EU.

Mantis shrimp inspires new breed of light sensors

Inspired by the eyes of mantis shrimp, researchers have developed a new kind of optical sensor that is small enough to fit on a smartphone but is capable of hyperspectral and polarimetric imaging. “Lots of artificial intelligence (AI) programs can…

Researchers discover that privacy-preserving tools leave private data anything but

BROOKLYN, New York, Wednesday, March 3, 2021 – Machine-learning (ML) systems are becoming pervasive not only in technologies affecting our day-to-day lives, but also in those observing them, including face expression recognition systems. Companies that make and use such widely…

Automated next generation sequencing platform can accurately screen thousands for COVID-19

A robotics platform designed by Toronto researchers to screen thousands of COVID-19 samples at once has the potential to revolutionize how labs track the spread of viruses and other pathogens, according to new findings. The study , out Wednesday in…

A Skoltech robot analyzes shoppers’ behavior

Researchers from Skoltech’s Intelligent Space Robotics Lab have proposed a novel method for customer behavior analytics and demand distribution based on Radio Frequency Identification (RFID) stocktaking. Their research was published in the proceedings of the International Conference on Control, Automation,…

Will we enjoy work more once routine tasks are automated? – Not necessarily, a study shows

Will we enjoy our work more once routine tasks are automated? – Not necessarily, suggests a recent study Research conducted at Åbo Akademi University suggests that when routine work tasks are being replaced with intelligent technologies, the result may be…

Novel soft tactile sensor with skin-comparable characteristics for robots

A joint research team co-led by City University of Hong Kong (CityU) has developed a new soft tactile sensor with skin-comparable characteristics. A robotic gripper with the sensor mounted at the fingertip could accomplish challenging tasks such as stably grasping…

Cosmetic and consumer product formulation design: Automation, AI and machine learning webinar

Due to the global pandemic we have re-scheduled the in person Advances in Cosmetic Formulation Design II Conference to Summer 2022. To keep the community up to date, this webinar will focus on an emerging area of high interest to…

Army-funded researcher receives award for mathematical theory

RESEARCH TRIANGLE PARK, N.C. — A U.S. Army-funded researcher who developed a mathematical theory for complex systems such as networks, power grids and the human brain, received a prestigious scientific award. A new approach for solving dynamic problems will allow…

A new prototype of an intelligent underground robotic system for urban environments

This robotic system is composed of two main elements: a surface vehicle with a geo-radar that is used to scan the ground, so that subterranean obstacles can be detected; and an autonomous underground robot that does the drilling work. “Once…

Artificial ‘brain’ reveals why we can’t always believe our eyes

A computer network closely modelled on part of the human brain is enabling new insights into the way our brains process moving images – and explains some perplexing optical illusions. By using decades’ worth of data from human motion perception…

Heavy rain affects object detection by autonomous vehicle LiDAR sensors

Future fully autonomous vehicles will rely on sensors to operate, one type of these sensors is LiDAR LiDAR sensor’s effectiveness in detecting objects at a distance in heavy rain decreases, researchers from WMG, University of Warwick have found Researchers used…

‘Trending’ doctors’ notes could help hospitals predict COVID-19 surges

A new study, published today in Nature Digital Medicine, found that ‘natural language processing’ (NLP) of information routinely recorded by doctors – as part of patients’ electronic health records – reveal vital trends that could help clinical teams forecast and plan for surges in patients.