Google Research and Google’s AI research lab, DeepMind, have detailed the impressive reach of Med-Gemini, a family of advanced AI models specialized in medicine. It’s a huge advancement in clinical diagnostics with massive real-world potential.
Alembic unveils groundbreaking AI system that eliminates hallucinations in enterprise data analysis, attracting Fortune 500 interest and analyst praise.
Summary: People often view AI-generated answers to ethical questions as superior to those from humans. In the study, participants rated responses from AI and humans without knowing the source, and overwhelmingly favored the AI’s responses in terms of virtuousness, intelligence, and trustworthiness.
This modified moral Turing test, inspired by ChatGPT and similar technologies, indicates that AI might convincingly pass a moral Turing test by exhibiting complex moral reasoning. The findings highlight the growing influence of AI in decision-making processes and the potential implications for societal trust in technology.
UNSW Sydney engineers have utilised sound waves to cut the time it takes to make a cold brew coffee from many hours down to mere minutes.
Fans of cold brew coffee often rave about the smoother, less acidic and less bitter taste compared to a regular hot brew.
There’s just one major problem – it takes anywhere from 12 to 24 hours to fully steep the grounds and allow the flavours to slowly be extracted using only cold water.
Because I am often introduced as a “professional skeptic,” people feel compelled to challenge me with stories about highly improbable events. The implication is that if I cannot offer a satisfactory natural explanation for that particular event, the general principle of supernaturalism is preserved. A common story is the one about having a dream or thought about the death of a friend or relative and then receiving a phone call five minutes later about the unexpected death of that very person.
I cannot always explain such specific incidents, but a principle of probability called the Law of Large Numbers shows that an event with a low probability of occurrence in a small number of trials has a high probability of occurrence in a large number of trials. Events with million-to-one odds happen 295 times a day in America.
In their delightful book Debunked! (Johns Hopkins University Press, 2004), CERN physicist Georges Charpak and University of Nice physicist Henri Broch show how the application of probability theory to such events is enlightening. In the case of death premonitions, suppose that you know of 10 people a year who die and that you think about each of those people once a year. One year contains 105,120 five-minute intervals during which you might think about each of the 10 people, a probability of one out of 10,512 — certainly an improbable event. Yet there are 295 million Americans. Assume, for the sake of our calculation, that they think like you. That makes 1/10,512 × 295,000,000 = 28,063 people a year, or 77 people a day for whom this improbable premonition becomes probable.
Researchers at the University of California San Diego have developed a neural implant that provides information about activity deep inside the brain while sitting on its surface. The implant is made up of a thin, transparent and flexible polymer strip that is packed with a dense array of graphene electrodes. The technology, tested in transgenic mice, brings the researchers a step closer to building a minimally invasive brain-computer interface (BCI) that provides high-resolution data about deep neural activity by using recordings from the brain surface.
The work was published on Jan. 11 in Nature Nanotechnology.
“We are expanding the spatial reach of neural recordings with this technology,” said study senior author Duygu Kuzum, a professor in the Department of Electrical and Computer Engineering at the UC San Diego Jacobs School of Engineering. “Even though our implant resides on the brain’s surface, its design goes beyond the limits of physical sensing in that it can infer neural activity from deeper layers.”
Bursts of brain rhythms with “beta” frequencies control where and when neurons in the cortex process sensory information and plan responses. Studying these bursts would improve understanding of cognition and clinical disorders, researchers argue in a new review.
The brain processes information on many scales. Individual cells electrochemically transmit signals in circuits but at the large scale required to produce cognition, millions of cells act in concert, driven by rhythmic signals at varying frequencies. Studying one frequency range in particular, beta rhythms between about 14–30 Hz, holds the key to understanding how the brain controls cognitive processes — or loses control in some disorders — a team of neuroscientists argues in a new review article.
Drawing on experimental data, mathematical modeling and theory, the scientists make the case that bursts of beta rhythms control cognition in the brain by regulating where and when higher gamma frequency waves can coordinate neurons to incorporate new information from the senses or formulate plans of action. Beta bursts, they argue, quickly establish flexible but controlled patterns of neural activity for implementing intentional thought.
