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A maze is a popular device among psychologists to assess the learning capacity of mice or rats. But how about robots? Can they learn to successfully navigate the twists and turns of a labyrinth? Now, researchers at the Eindhoven University of Technology (TU/e) in the Netherlands and the Max Planck Institute for Polymer Research in Mainz, Germany, have proven they can. Their robot bases its decisions on the very system humans use to think and act: the brain. The study, which was published in Science Advances, paves the way to exciting new applications of neuromorphic devices in health and beyond.

Machine learning and neural networks have become all the rage in recent years, and quite understandably so, considering their many successes in image recognition, medical diagnosis, e-commerce and many other fields. Still though, this software-based approach to machine intelligence has its drawbacks, not least because it consumes so.

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I would prefer it if the data was anonymized and handed back to the patient via an AI interface on the assessment, — Recommended actions and risks involved with each decision. It would then be up to the patient to share the data with a doctor or not, to decide how much data they want to share, and to what extent recommendations can interfere with their day to day life. I’m gonna have a glass of wine. AI: this is your 3rd glass today, do you want to know the risks associated with this decision? No. AI: ok-do you want to monitor vital health statistics in relation to drinking wine instead of water? No. AI; Do you want / Just shut up. Erase all records of my wine drinking and do not monitor this going forward. To live means to die, at least for now. Don’t touch my wine 🍷


Remote technology could save lives by monitoring health from home or outside the hospital. It could also push patients and health care providers further apart.

Stein Emil Vollset, the study’s lead author and Professor of Global Health at the Institute for Health Metrics and Evaluation (IHME), elaborated on the findings.

“The last time that global population declined was in the mid 14th century, due to the Black Plague,” he told IFLScience. “If our forecast is correct, it will be the first time population decline is driven by fertility decline, as opposed to events such as a pandemic or famine.”

Some countries, however, are forecasted to see an increase in population.

Researchers have refined a molecule that shows promise for the prevention of Parkinson’s disease.… See more.


Summary: Researchers have refined a molecule that shows promise for the prevention of Parkinson’s disease.

Source: University of Bath

A molecule that shows promise in preventing Parkinson’s disease has been refined by scientists at the University of Bath in the UK, and has the potential to be developed into a drug to treat the deadly neurodegenerative disease.

Professor Jody Mason, who led the research from the Department of Biology and Biochemistry at Bath, said: “A lot of work still needs to happen, but this molecule has the potential to be a pre-cursor to a drug. Today there are only medicines to treat the symptoms of Parkinson’s—we hope to develop a drug that can return people to good health even before symptoms develop.”

And it would create 4.7 million long-term jobs.

The United States’ energy system that’s running completely on wind, water, and solar, combined with storage, would not only avoid blackouts but also lower energy requirements and consumer costs, a Stanford University study has shown. In addition, this would create millions of jobs, improve health, and free up land for various other purposes.

This is incredibly important because, for some people, a future powered by renewable energy isn’t feasible due to concerns about blackouts driven by inconsistent electricity sources. Take, for example, the grid blackouts caused by extreme weather events in California in August 2020 and Texas in February 2021.

However, the study, which examined grid stability under various scenarios in which wind, water, and solar energy supplied 100 percent of all energy needs in the U.S., has now demonstrated that those concerns are misplaced.

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Uganda is preparing to launch its first satellite by August 2022. The satellite, PearlAfricaSat-1, is the latest mission from the Joint Global Multi-Nation Birds Satellite project. The initiative began in October 2019 as part of a directive by Uganda’s President to develop a National Space Agency and Institute.

Uganda signed the collaborative research agreement with the Kyushu Institute of Technology (Kyutech), Japan. The agreement involved enrolling and upskilling three graduate engineers to design, build, test, and launch the first satellite for Uganda. Consequently, Japan registered three Ugandan graduate engineers, including; Bonny Omara, Edgar Mujunu, and Derrick Tebuseke.

The core missions for PearlAfricaSat-1 are a multispectral camera payload. The Multispectral Camera mission will provide about 20-metre resolution images for Uganda to facilitate water quality, soil fertility, and land use and cover analysis. The satellite will play a vital role in the oil and gas operation by monitoring the East African crude oil pipeline. This will enable accurate weather forecasts by gathering remote sensor data for predicting landslides and drought. Once the satellite reaches orbit, an Uganda ground station will monitor its health status for a few days before it starts executing its mission.