Successfully innovating optoelectronic semiconductor devices depends a lot on moving charges and excitons—electron-hole pairs—in specified directions for the purpose of creating fuels or electricity.
The expansion rate of the universe, measured by the Hubble constant, has been one of the most controversial numbers in cosmology for years, and we seem at last to be close to nailing it down.
By Leah Crane
Turning off inflammatory protein extends healthy lifespan in mice.
A protein that promotes inflammation could hold the key to a longer, healthier life.
Humans also have the protein, called IL-11, offering hope for a future longevity treatment.
Continue reading “Mice live longer when inflammation-boosting protein is blocked” »
Large language models trained on religious texts claim to offer spiritual insights on demand. What could go wrong?
By Webb Wright
Just before midnight on the first day of Ramadan last year, Raihan Khan—a 20-year-old Muslim student living in Kolkata—announced in a LinkedIn post that he had launched QuranGPT, an artificial-intelligence-powered chatbot he had designed to answer questions and provide advice based on Islam’s holiest text. Then he went to sleep. He awoke seven hours later to find it had crashed because of an overflow of traffic. A lot of the comments were positive, but others were not. Some were flat-out threatening.
Poe is an animated talking teddy bear toy that uses ChatGPT to generate children’s stories. I took it for an early test run and bedtime got strange.
Lucid says new updates make the Air Pure electric sedan beat Tesla and everybody else when it comes to powertrain efficiency.
According to a report by KPRC and the Texas General Land Office, officials are watching condensate leaking from an offshore drilling platform.
Two companies are coming together to develop an AI Health Coach that uses the power of artificial intelligence to battle chronic diseases.
Large-scale neural network models form the basis of many AI-based technologies such as neuromorphic chips, which are inspired by the human brain. Training these networks can be tedious, time-consuming, and energy-inefficient given that the model is often first trained on a computer and then transferred to the chip. This limits the application and efficiency of neuromorphic chips.
TU/e researchers have solved this problem by developing a neuromorphic device capable of on–chiptraining that eliminates the need to transfer trained models to the chip. This could open a route toward efficient and dedicated AI chips.
Have you ever thought about how wonderful your brain really is? It’s a powerful computing machine, but it’s also fast, dynamic, adaptable, and very energy efficient.
