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Recent technological advancements have paved the way for the creation of increasingly sophisticated robotic systems designed to autonomously complete missions in different familiar and unfamiliar environments. Robots meant to operate in uncertain or remote environments could greatly benefit from the ability to actively acquire electrical power from their surroundings.

Researchers at Worcester Polytechnic Institute, Imperial College London, and University of Illinois Urbana Champaign have recently developed a new robotic system that can visually rearrange its surroundings to receive the maximum amount of energy from a given power source. This robot, presented in a paper pre-published on arXiv and set to be presented at the IEEE International Conference on Robotics and Biomimetics, works by drawing using conductive ink.

“Our PLOS ONE work started off as a quite philosophical thought experiment,” Andre Rosendo, the professor who carried out the study, told TechXplore. “Nietzsche claims that human’s primal instinct is power, and survival is just a condition sine qua non we couldn’t reach that final goal. Based on this idea, we started to devise experimental settings where our robot could not only act to survive, but to thrive.”

Elon Musk tweeted a fascinating — and frankly unsettling — theory last night about how a brain parasite might be forcing all humans to create advanced AI.

The Tesla CEO was responding to a story from National Geographic about how toxoplasmosis, a common parasite often found in cats, seems to be causing hyenas to be reckless around predators such as lions. In a staggering and perhaps facetious leap of logic, Musk suggested that the parasite is actually what’s causing humans to create advanced artificial intelligence.

“Toxoplasmosis infects rats, then cats, then humans who make cat videos,” Musk tweeted on Friday. “AI trains achieves superhuman intelligence training on Internet cat videos, thus making toxoplasmosis the true arbiter of our destiny.”

Iran’s recent seizure of unmanned US Navy boats shined a light on a pioneering Pentagon program to develop networks of air, surface and underwater drones for patrolling large regions, meshing their surveillance with artificial intelligence.

The year-old program operates numerous unmanned surface vessels, or USVs, in the waters around the Arabian peninsula, gathering data and images to be beamed back to collection centers in the Gulf.

The program operated without incident until Iranian forces tried to grab three seven-meter Saildrone Explorer USVs in two incidents, on August 29–30 and September 1.

Are you looking for the most recent Artificial Intelligence Trends? Artificial intelligence will have advanced far enough to become the most revolutionary technology ever devised by man. Artificial intelligence (AI) is progressing at an alarming rate. At the moment, new technical applications and systems are being employed to imitate, extend, and expand human intelligence.

Curious to know more? stay connected for that as we dive deeper!

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160,000 square kilometers of the Ukrainian territory of land may be “contaminated” by landmines.

New technology to detect lethal explosives designed to maim and kill has been tested by researchers from the Demining Research Community.

The researchers have been in Oklahoma for two weeks setting up grids of mines and munitions to train a drone-based, machine-learning-powered detection system to find and identify harmful explosives without the need for people to do so, Scientific American magazine reported on Wednesday.

It’s not easy to find places where you can lay dormant mines and fly drones.


A new technology to detect lethal explosives designed to maim and kill has been tested by researchers from the Demining Research Community, a non-profit organization that bridges academic research and humanitarian demining efforts.

Article originally published on LINKtoLEADERS under the Portuguese title “Sem saber ler nem escrever!”

In the 80s, “with no knowledge, only intuition”, I discovered the world of computing. I believed computers could do everything, as if it were an electronic God. But when I asked the TIMEX Sinclair 1000 to draw the planet Saturn — I am fascinated by this planet, maybe because it has rings —, I only glimpse a strange message on the black and white TV:

0/0

https://youtu.be/pDSEjaDCtOU?t=2526

Ian Hutchinson’s concerns for existential risk after minute 42.


Ian Hutchinson is a nuclear engineer and plasma physicist at MIT. He has made a number of important contributions in plasma physics including the magnetic confinement of plasmas seeking to enable fusion reactions, which is the energy source of the stars, to be used for practical energy production. Current nuclear reactors are based on fission as we discuss. Ian has also written on the philosophy of science and the relationship between science and religion.

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Artificial Intelligence (AI) can perform preventive healthcare activities such as health screening, routine check-up and vaccination with expert-level accuracy that can turn out to be cost-effective in the long run. Yet, a new research found that individuals show less trust in preventive care interventions suggested by AI than when the same interventions are prompted by human health experts.

The researchers at Nanyang Technological University (NTU) Singapore studied 15,000 users of a health mobile application and found that emphasising the involvement of a human health expert in an AI-suggested intervention could improve its acceptance and effectiveness.

These findings suggest that the human element remains important even as the healthcare sector increasingly adopts AI to screen, diagnose and treat patients more efficiently. The findings could also contribute to the design of more effective AI-prompted preventive care interventions, said the researchers.

Choosing interesting dissertation topics in ML is the first choice of Master’s and Doctorate scholars nowadays. Ph.D. candidates are highly motivated to choose research topics that establish new and creative paths toward discovery in their field of study. Selecting and working on a dissertation topic in machine learning is not an easy task as machine learning uses statistical algorithms to make computers work in a certain way without being explicitly programmed. The main aim of machine learning is to create intelligent machines which can think and work like human beings. This article features the top 10 ML dissertations for Ph.D. students to try in 2022.

Text Mining and Text Classification: Text mining is an AI technology that uses NLP to transform the free text in documents and databases into normalized, structured data suitable for analysis or to drive ML algorithms. This is one of the best research and thesis topics for ML projects.

Recognition of Everyday Activities through Wearable Sensors and Machine Learning: The goal of the research detailed in this dissertation is to explore and develop accurate and quantifiable sensing and machine learning techniques for eventual real-time health monitoring by wearable device systems.