The smart machines, it turns out, are dreaming up riots of unrealities that help scientists track cancer, design drugs, invent medical devices, uncover weather phenomena and even win the Nobel Prize.
An experiment showing that quantum and classical communication can be carried out through the same fibre at the same time may open the door to building a quantum internet with existing infrastructure.
After decades of frustration, machine-learning tools are unlocking a treasure trove of acoustic data for ecologists.
...747,604 women who underwent mammography screening over a 12-month period. Overall cancer detection rates were 43% higher for those enrolled in the program compared to those who weren’t.
...new chip demonstrates error correction and performance that paves the way to a useful, large-scale quantum computer.Willow performed a standard benchmark computation in under five minutes that would take one of today’s fastest supercomputers 10 septillion (that is, 1025) years
Prithvi 2.0 can zoom in much closer, picking out crops and tree-species in satellite images, and cattle and solar panels in drone data. Overall, Prithvi 2.0 achieved an average score of 75.6% on GEO-bench, an 8% improvement over the previous model.
Powered by an artificial intelligence (AI) model developed by NUHS, Missi is able to speak to nurses and patients, provide information on advised dosage of medication, how to store it and the medication’s intended effects…
In an effort to automate scientific discovery using artificial intelligence (AI), researchers have created a virtual laboratory that combines several ‘AI scientists’ — large language models with defined scientific roles — that can collaborate to achieve goals set by human researchers.
GenCast…relies on AI methods alone. It works sort of like ChatGPT, but instead of predicting the next most likely word in a sentence, it produces the next most likely weather condition. In training, it starts with random parameters, or weights, and compares that prediction with real weather data. Over the course of training, GenCast’s parameters begin to align with the actual weather…In its predictions, it was more accurate than the current best forecas…97% of the time,
Teams that were randomly assigned to use the tool discovered 44% more new materials and filed 39% more patent applications than did the ones that stuck to their standard workflow
