A UCL-led research team has used artificial intelligence (AI) techniques to infer the influence and properties of dark energy more precisely from a map of dark and visible matter in the universe covering the last 7 billion years.
The study, submitted to the Monthly Notices of the Royal Astronomical Society and available on the arXiv preprint server, was carried out by the Dark Energy Survey collaboration. The researchers doubled the precision at which key characteristics of the universe, including the overall density of dark energy, could be inferred from the map.
This increased precision allows researchers to rule out models of the universe that might previously have been conceivable.
A small team of AI researchers at Microsoft reports that the company’s Orca-Math small language model outperforms other, larger models on standardized math tests. The group has published a paper on the arXiv preprint server describing their testing of Orca-Math on the Grade School Math 8K (GSM8K) benchmark and how it fared compared to well-known LLMs.
Many popular LLMs such as ChatGPT are known for their impressive conversational skills—less well known is that most of them can also solve math word problems. AI researchers have tested their abilities at such tasks by pitting them against the GSM8K, a dataset of 8,500 grade-school math word problems that require multistep reasoning to solve, along with their correct answers.
In this new study, the research team at Microsoft tested Orca-Math, an AI application developed by another team at Microsoft specifically designed to tackle math word problems, and compared the results with larger AI models.
A significant geomagnetic solar storm is currently in progress, sparked by recent solar eruptions that have hurled plasma towards Earth.
This atmospheric phenomenon is set to illuminate skies with the Northern Lights, extending unusually far south to regions including Alabama and Northern California as early as Monday.
The Space Weather Prediction Center (SWPC) of the National Oceanic and Atmospheric Administration (NOAA) warns of an extended period of heightened geomagnetic activity, known as a Geomagnetic K-index of 5.
An international piece of research, led by the Instituto de Astrofísica de Canarias (IAC) has found clues to the nature of some of the brightest and hottest stars in our universe, called blue supergiants. Although these stars are commonly observed, their origin has been an old puzzle that has been debated for several decades.
Researchers at the University of Waterloo’s Institute for Quantum Computing (IQC) have brought together two Nobel prize-winning research concepts to advance the field of quantum communication.
A collaborative project to bring the promise of cell therapy to patients with a deadly form of brain cancer has shown dramatic results among the first patients to receive the novel treatment. In a paper published today in The New England Journal of Medicine, researchers from the Mass General Cancer Center, a member of the Mass General Brigham healthcare system, shared the results for the first three patient cases from a phase 1 clinical trial evaluating a new approach to CAR-T therapy for glioblastoma (GBM). The trial, known as INCIPIENT, is designed to evaluate the safety of CARv3-TEAM-E T cells in patients with recurrent GBM. Just days after a single treatment, patients experienced dramatic reductions in their tumors, with one patient achieving near-complete tumor regression. In time, the researchers observed tumor progression in these patients, but given the strategy’s promising preliminary results, the team will pursue strategies to extend the durability of response.
“This is a story of bench-to-bedside therapy, with a novel cell therapy designed in the laboratories of Massachusetts General Hospital and translated for patient use within five years, to meet an urgent need,” said Bryan Choi, MD, PhD, neurosurgeon and associate director of the Center for Brain Tumor Immunology and Immunotherapy, Cellular Immunotherapy Program, Mass General Cancer Center and Department of Neurosurgery. “The CAR-T platform has revolutionized how we think about treating patients with cancer, but solid tumors like glioblastoma have remained challenging to treat because not all cancer cells are exactly alike and cells within the tumor vary. Our approach combines two forms of therapy, allowing us to treat glioblastoma in a broader, potentially more effective way.”
Scientists modeled human-like communication skills and the transfer of knowledge between AIs — so they can teach each other to perform tasks without a huge amount of training data.
