A single change in a human protein sequence might be responsible for differences in the size and shape of human and Neanderthal brains.
(October 29, 2012) Keith Devlin concludes the course by discussing the development of mathematical cognition in humans as well as the millennium problems.
Originally presented in the Stanford Continuing Studies Program.
Continue reading “How Did Human Beings Acquire the Ability to do Math?” »
Using gene modification techniques, a team of researchers have come up with a new treatment for balding, Wired reports — a condition experienced to varying degrees by two-thirds of American men by age 35.
The team, associated with the University of California, Irvine and a biotech company called Amplifica, believes they’ve identified the signaling pathway that drive hair growth to find new ways to stop stem cells from giving up on producing hair follicles.
Experiments with mice, as detailed in a new paper published in the journal Developmental Cell last month, have been promising. The mice were genetically modified to have the hair growth signaling pathway turned on permanently.
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.
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The Standard Model is our best theory for how the universe operates, but there are some missing pieces that physicists are struggling to find.
The Standard Model of physics is the theory of particles, fields and the fundamental forces that govern them.
It tells us about how families of elementary particles group together to form larger composite particles, and how one particle can interact with another, and how particles respond to the fundamental forces of nature. It has made successful predictions such as the existence of the Higgs boson, and acts as the cornerstone for theoretical physics.
SINGAPORE — A new longevity clinic where the doctor will diagnose a healthy person’s biological age and then provide a customised plan to slow ageing is being set up at Alexandra Hospital and is expected to open by early next year.
It will be the first publicly funded outpatient clinic in longevity medicine in Singapore and possibly in the world, Professor Andrea Maier, the co-director of the National University Health System (NUHS) Centre for Healthy Longevity told The Straits Times at the sidelines of the centre’s opening on Wednesday.
The clinic will be manned by internal medicine specialists like Prof Maier, who is also the founding president of the International Longevity Medicine Society that was set up last month.
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.
The technology pushes forward the idea that more South American mummies may have experienced violent deaths than previously known.
Grass lawns need to be replaced.
The united states of America, is the 2nd highest CO2 emitting country in the world and has the third largest population with approximately 330 million people.
Continue reading “How the suburbs are restoring biodiversity back to America” »
