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One nebulous aspect of the poll, and of many of the headlines about AI we see on a daily basis, is how the technology is defined. What are we referring to when we say “AI”? The term encompasses everything from recommendation algorithms that serve up content on YouTube and Netflix, to large language models like ChatGPT, to models that can design incredibly complex protein architectures, to the Siri assistant built into many iPhones.

IBM’s definition is simple: “a field which combines computer science and robust datasets to enable problem-solving.” Google, meanwhile, defines it as “a set of technologies that enable computers to perform a variety of advanced functions, including the ability to see, understand and translate spoken and written language, analyze data, make recommendations, and more.”

It could be that peoples’ fear and distrust of AI comes partly from a lack of understanding of it, and a stronger focus on unsettling examples than positive ones. The AI that can design complex proteins may help scientists discover stronger vaccines and other drugs, and could do so on a vastly accelerated timeline.

Scientists from the NIHR Great Ormond Street Hospital Biomedical Research Centre (a collaboration between GOSH and UCL), London, and University of Padova, Italy, have shown for the first time how 3D printing can be achieved inside “mini-organs” growing in hydrogels—controlling their shape, activity, and even forcing tissue to grow into “molds.”

This can help teams study cells and organs more accurately, create realistic models of organs and disease, and even better understand how cancer spreads through different tissues.

A particularly promising area of research at the Zayed Centre for Research (a partnership between Great Ormond Street Hospital (GOSH), GOSH Charity and University College London Great Ormond Street Institute of Child Health (UCL GOS ICH)) is organoid science—the creation of micro-versions of organs like the stomach, the intestines and the lungs.

BRISBANE, Australia — COVID-19 infections have a lengthy track record of impacting both neurological health and thinking abilities. Some patients experience brain inflammation, while others are…

The tool can be used for early diagnosis.

Scientists have conceived of a machine-learning model capable of detecting speech patterns that are linked to a diagnosis of Alzheimer’s or other forms of dementia. The new tool will be used for early evaluation of the conditions.

This is according to a report by Global News published on Saturday…

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Have you ever made a great catch—like saving a phone from dropping into a toilet or catching an indoor cat from running outside? Those skills—the ability to grab a moving object—takes precise interactions within and between our visual and motor systems. Researchers at the Del Monte Institute for Neuroscience at the University of Rochester have found that the ability to visually predict movement may be an important part of the ability to make a great catch—or grab a moving object.

“We were able to develop a method that allowed us to analyze behaviors in a natural environment with high precision, which is important because, as we showed, behavioral patterns differ in a controlled setting,” said Kuan Hong Wang, Ph.D., a Dean’s Professor of Neuroscience at the University of Rochester Medical Center.

Wang led the study out today in Current Biology in collaboration with Jude Mitchell, Ph.D., assistant professor of Brain and Cognitive Sciences at the University of Rochester, and Luke Shaw, a graduate student in the Neuroscience Graduate Program at the School of Medicine & Dentistry at the University of Rochester. “Understanding how natural behaviors work will give us better insight into what is going awry in an array of neurological disorders.”

BOCA RATON, Fla. (AP) — Before Fred Kalfon began exercising at the Grey Team veterans center a couple months ago, the 81-year-old rarely left his Florida home.

Parkinson’s disease, an inner ear disorder and other neurological problems, all likely caused by the Vietnam vet’s exposure to the infamous defoliant Agent Orange, made it difficult for him to move. His post-traumatic stress disorder, centering on the execution of a woman who helped his platoon, was at its worst.

Switching to a diet full of fresh veggies and low in processed foods could do wonders for your brain’s biological age, new research shows.

According to the international team of researchers who ran the study, eating a Mediterranean diet rich in vegetables, seafood, and whole grains appears to slow the signs of accelerated brain aging typically seen in obesity with as little as 1 percent loss in body weight.

Brain scans taken after 18 months showed the participants’ brain age appearing almost 9 months younger than expected, compared to estimates of their brain’s chronological age.

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Researchers at the University at Albany’s RNA Institute have demonstrated a new approach to DNA nanostructure assembly that does not require magnesium. The method improves the biostability of the structures, making them more useful and reliable in a range of applications. The work appears in the journal Small this month.

When we think of DNA, the first association that comes to mind is likely genetics—the double helix structure within cells that houses an organism’s blueprint for growth and reproduction. A rapidly evolving area of DNA research is that of DNA nanostructures—synthetic molecules made up of the same building blocks as the DNA found in living cells, which are being engineered to solve critical challenges in applications ranging from medical diagnostics and drug delivery to materials science and data storage.

“In this work, we assembled DNA nanostructures without using magnesium, which is typically used in this process but comes with challenges that ultimately reduce the utility of the nanostructures that are produced,” said Arun Richard Chandrasekaran, corresponding author of the study and senior research scientist at the RNA Institute.