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Large language models (LLMs), the most renowned of which is ChatGPT, have become increasingly better at processing and generating human language over the past few years. The extent to which these models emulate the neural processes supporting language processing by the human brain, however, has yet to be fully elucidated.

Researchers at Columbia University and Feinstein Institutes for Medical Research Northwell Health recently carried out a study investigating the similarities between LLM representations on neural responses. Their findings, published in Nature Machine Intelligence, suggest that as LLMs become more advanced, they do not only perform better, but they also become more brain-like.

“Our original inspiration for this paper came from the recent explosion in the landscape of LLMs and neuro-AI research,” Gavin Mischler, first author of the paper, told Tech Xplore.

Over the last few years, artificial intelligence (AI) has been firmly in the world’s spotlight, and the rapidly advancing technology can often be a source of anxiety and even fear in some cases. But the evolution of AI doesn’t have to be an inherently scary thing — and there are plenty of ways that this emerging technology can be used for the benefit of humanity.

Writing in “AI for Good” (Wiley, 2024), Juan M. Lavista Ferres and William B. Weeks, both senior directors at Microsoft’s AI for Good Research Lab, reveal how beneficial AI is being used in dozens of projects across the world today. They explain how AI can improve society by, for example, being used in sustainability projects like using satellites to monitor whales from space, or by mapping glacial lakes. AI can also be used in the wake of natural disasters, like the devastating 2023 earthquake in Turkey, or for social good, like curbing the proliferation of misinformation online. In addition, there are significant health benefits to reap from AI, including studying the long-term effects of COVID-19, using AI to manage pancreatic cysts or detecting leprosy in vulnerable populations.

In this excerpt, the authors detail the recent rise of large language models (LLMs) such as ChatGPT or Claude 3 and how they have grown to become prominent in today’s AI landscape. They also discuss how these systems are already making a significant beneficial impact on the world.

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Scientists believe that they may have identified the cause of so many unexplained cancers.

Scientists believe they have made a breakthrough in finding the cause of certain cancers. Credit: Flying Colours Ltd / Getty

A groundbreaking scientific review has uncovered a potential cause for certain cancers and health conditions that can’t be fully explained by genetics, diet, or lifestyle.

Today’s robots perform safety checks at industrial plants, conduct quality control in manufacturing, and are even starting to keep hospital patients company.

But soon — perhaps very soon — these increasingly humanlike machines will handle more sophisticated tasks, freeing up people while raising complex questions about the roles of artificial intelligence that are gaining attention.

At a panel hosted by the American Association of Retired Persons at this week’s Consumer Electronics Show (CES), experts described the next five years as a period where robots transition primarily from industrial sites to service settings, helping to address a worsening health care labor crunch.

For decades, scientists have been trying to develop therapeutics for people living with Alzheimer’s disease, a progressive neurodegenerative disease that is characterized by cognitive decline. Given the global rise in cases, the stakes are high. A study published in The Lancet Public Health reports that the number of adults living with dementia worldwide is expected to nearly triple, to 153 million in 2050. Alzheimer’s disease is a dominant form of dementia, representing 60 to 70 percent of cases.

Recent approvals by the Food and Drug Administration have focused on medications that shrink the sticky brain deposits of a protein called amyloid beta. The errant growth of this protein is responsible for triggering an increase in tangled threads of another protein called tau and the development of Alzheimer’s disease — at least according to the dominant amyloid cascade hypothesis, which was first proposed in 1991.

Over the past few years, however, data and drugs associated with the hypothesis have been mired in various controversies relating to data integrity, regulatory approval, and drug safety. Nevertheless, the hypothesis still dominates research and drug development. According to Science, in fiscal year 2021 to 2022, the National Institutes of Health spent some $1.6 billion on projects that mention amyloids, about 50 percent of the agency’s overall Alzheimer’s funding. And a close look at the data for recently approved drugs suggests the hypothesis is not wrong, so much as incomplete.

Improving Global Resilience Against Emerging Infectious Threats — Dr. Nahid Bhadelia, MD — Founding Director, Center on Emerging Infectious Diseases (CEID), Boston University.


Dr. Nahid Bhadelia, MD, MALD is a board-certified infectious diseases physician who is the Founding Director of BU Center on Emerging Infectious Diseases (https://www.bu.edu/ceid/about-the-cen…) as well an Associate Professor at the BU School of Medicine. She served the Senior Policy Advisor for Global COVID-19 Response for the White House COVID-19 Response Team in 2022–2023, where she coordinated the interagency programs for global COVID-19 vaccine donations from the United States and was the policy lead for Project NextGen, $5B HHS program aimed at developing next generation vaccines and treatments for pandemic prone coronaviruses. She also served as the interim Testing Coordinator for the White House MPOX Response Team. She is the Director and co-founder of Biothreats Emergence, Analysis and Communications Network (BEACON), an open source outbreak surveillance program.

Between 2011–2021, Dr. Bhadelia helped develop and then served as the medical director of the Special Pathogens Unit (SPU) at Boston Medical Center, a medical unit designed to care for patients with highly communicable diseases, and a state designated Ebola Treatment Center. She was previously an associate director for BU’s maximum containment research program, the National Emerging Infectious Diseases Laboratories. She has provided direct patient care and been part of outbreak response and medical countermeasures research during multiple Ebola virus disease outbreaks in West and East Africa between 2014–2019. She was the clinical lead for a DoD-funded viral hemorrhagic fever clinical research unit in Uganda, entitled Joint Mobile Emerging Disease Intervention Clinical Capability (JMEDICC) program between 2017 and 2022. Currently, she is a co-director of Fogarty funded, BU-University of Liberia Emerging and Epidemic Viruses Research training program. She was a member of the World Health Organization(WHO)’s Technical Advisory Group on Universal Health and Preparedness Review (UHPR). She currently serves as a member of the National Academies Forum on Microbial Threats and previously served as the chair of the National Academies Workshop Committee for Potential Research Priorities to Inform Readiness and Response to Highly Pathogenic Avian Influenza A (H5N1) and member of the Ad Hoc Committee on Current State of Research, Development, and Stockpiling of Smallpox Medical Countermeasures.

Shaping The Culture & Conduct Of Science — Dr. Marcia McNutt Ph.D. — President, National Academy Of Sciences


Dr. Marcia McNutt, Ph.D. is President of the National Academy of Sciences (https://www.nasonline.org/directory-e…), where she also chairs the National Research Council, the operating arm of the National Academies of Sciences, Engineering, and Medicine, and serves a key role in advising our nation on various important issues pertaining to science, technology, and health.

From 2013 to 2016, Dr. McNutt served as editor-in-chief of the Science journals.

A recent study highlights that significant health benefits and molecular adaptations from fasting are detectable after three days.

Recent findings show that prolonged fasting triggers significant and systematic changes across multiple organs in the body. These results highlight potential health benefits that extend beyond weight loss, but they also reveal that these impactful changes only begin to occur after three full days without food.

Health Benefits of Fasting Unveiled.

In a world grappling with a multitude of health threats—ranging from fast-spreading viruses to chronic diseases and drug-resistant bacteria—the need for quick, reliable, and easy-to-use home diagnostic tests has never been greater. Imagine a future where these tests can be done anywhere, by anyone, using a device as small and portable as your smartwatch. To do that, you need microchips capable of detecting miniscule concentrations of viruses or bacteria in the air.

Summary: Researchers have developed a Genetic Progression Score (GPS) using artificial intelligence to predict the progression of autoimmune diseases from preclinical symptoms to full disease. The GPS model integrates genetic data and electronic health records to provide personalized risk scores, improving prediction accuracy by 25% to 1,000% over existing models.

This method identifies individuals at higher risk earlier, enabling timely interventions and better disease management. The framework could also be adapted to study other underrepresented diseases, offering a breakthrough in personalized medicine and health equity.