#AI

A groundbreaking study using artificial intelligence (AI) has taken a scientific leap in answering an age-old question: why do some people stick with regular exercise, while others quickly fall off the wagon? By analyzing the habits and characteristics of nearly 12,000 individuals, a research team from the University of Mississippi has identified three surprisingly robust predictors of exercise adherence—how much time you spend sitting, your gender, and your education level—shedding new light on what keeps people committed to their fitness goals. This finding could open the door to more individualized health advice and smarter public health campaigns worldwide, including here in Thailand (Neuroscience News, Science Daily).

A groundbreaking new study using artificial intelligence (AI) and machine learning has revealed the most crucial factors that keep people committed to their exercise routines: how much time they spend sitting, their gender, and their education level. Published in the prestigious journal Scientific Reports, this research analyzed health data from nearly 12,000 individuals, offering fresh insights into what helps people meet physical activity guidelines—a finding with important implications for Thailand, where sedentary lifestyles are increasingly common.

In a scientific breakthrough once thought impossible, an international team of researchers has created the first detailed three-dimensional map of a mammal’s brain, offering an unprecedented window into the structure and function of the mind. This ambitious feat, achieved by studying a tiny fragment of a mouse’s visual cortex, marks a pivotal advance in neuroscience and holds profound implications for understanding brain diseases such as Alzheimer’s and autism (CNN/Yahoo! News).

In a groundbreaking advancement, Stanford Medicine researchers have developed a “digital twin” of the mouse brain, leveraging artificial intelligence to simulate the brain’s visual cortex—a region central to processing visual inputs. This development, detailed in a recent study published in Nature, could reshape the way neuroscientists conduct experiments, making brain research significantly more efficient and insightful.

The concept of a digital twin, akin to a highly realistic flight simulator, allows scientists to experiment on a virtual model of the mouse brain. This is a monumental step, as it enables the simulation of neural activities based on extensive datasets gathered from live mice. These animals had their neural responses mapped while watching action-packed films, to mimic their natural visual experiences. Dr. Andreas Tolias, a senior author from Stanford, noted the utility of a precise brain model for conducting experiments that can later be verified in vivo.

The integration of artificial intelligence (AI) into skin cancer detection is gaining momentum, heralding a potentially transformative shift in medical diagnostics. However, experts emphasize that while AI technologies are advancing, human expertise remains irreplaceable. Ivy Lee, a dermatologist in Los Angeles and chair of the Augmented Intelligence Committee at the American Academy of Dermatology, reflects this sentiment, noting that the industry’s maturity moves beyond previous media hype towards practical applications of AI in healthcare.

In a groundbreaking study published in Neuroscience of Consciousness, researchers have unveiled a fascinating psychological dynamic affecting decision-making confidence when individuals believe they’re collaborating with machines. This revelation highlights that the mere perception of working alongside artificial intelligence can undermine human confidence, even when human judgment is accurate. Such insights compel us to reconsider how human-machine interactions might be designed, especially as automation increasingly infiltrates our daily lives and workplaces.