Developed in 2019 but only just discovered, this US Navy device can make people stop talking, apparently.
Scientists have designed a transistor that stores and processes information like the human brain and can perform cognitive tasks that most artificial intelligence (AI) systems today struggle with.
This technology, known as a “synaptic transistor,” mimics the architecture of the human brain — in which the processing power and memory are fully integrated and found in the same place. This differs from conventional computing architecture, in which the processor and memory are physically separate components.
The AI-guided system will stop turbines from spinning when birds are flying in the vicinity and create a safe zone.
Wind turbine collisions are responsible for over 679,000 bird deaths in the US alone every year. To protect vulnerable birds, wind farms can also be shut down.
Scientists have now leveraged deep learning to discover a new class of compounds that can kill a drug-resistant bacterium.
Using deep learning models, scientists have identified a new class of antibiotic compounds that can work against resistant strains like MRSA.
Starship’s previous two flights were partially successful in April and November but ended in explosions before reaching their intended destinations.
Abstract Here we represent human lives in a way that shares structural similarity to language, and we exploit this similarity to adapt natural language processing techniques to examine the evolution and predictability of human lives based on detailed event sequences.
Using registry data from Denmark, Lehmann et al. create individual-level trajectories of events related to health, education, occupation, income and address, and also apply transformer models to build rich embeddings of life-events and to predict outcomes ranging from time of death to personality.
The events of 2023 showed that A.I. doesn’t need to be that good in order to do damage.
It told me I’m a journalist (true, though I’m also a fiction writer), that I was born in California (false) and that I’d won a Gerald Loeb Award and a National Magazine…
For me, the journey began when I asked ChatGPT who I was.
Scattered across the web are communities of programmers working to revive this seemingly outdated approach. Anchored in the concept of “HTML Energy,” a term coined by artists Laurel Schwulst and Elliott Cost, the movement is anything but a superficial appeal to retro aesthetics. It focuses on the tactile process of coding in HTML, exploring how the language invites self-expression and empowers individuals to claim their share of the web. Taking shape in small Discord channels and digital magazines, among other spaces, the HTML Energy movement is about celebrating the human touch in digital experiences.
Today, the majority of the internet is optimized for social engagement, e-commerce, and streaming. Most internet traffic is concentrated in a small number of sites, all of which are owned by the same handful of companies. From lengthy ads to aggressive cookie settings, minor obstacles and nuisances are baked in. Users are constantly reminded that their access to the internet is conditional on the monetary interests of a few. The situation with X (formerly known as Twitter) perfectly encapsulates this state of internet ownership: it only took one executive to spark a mass exodus from the platform and to fragment its long-lived communities.
However, despite the monopolistic landscape of Big Tech, one fundamental reality continues to justify the internet’s democratic reputation: anyone can publish a website for free with HTML. With an abundance of real estate, the web technically has space for everyone. It’s just a matter of traffic.
A team of international scientists have developed an ultra-high speed signal processor that can analyze 400,000 real time video images concurrently, according to a paper published in Communications Engineering.
The team, led by Swinburne University of Technology’s Professor David Moss, have developed a processor that operates more than 10,000 times faster than typical electronic processors that operate in Gigabyte/s, at a record 17 Terabits/s (trillion bits per second).
The technology has profound implications for the safety and efficiency of driverless cars, medical imaging and could help find habitable planets beyond our solar system.