Nvidia shares closed at an all-time high on Monday as the chipmaker continues to ride a massive wave of demand for its artificial intelligence chips.
OpenAI scientists have designed MLE-bench — a compilation of 75 extremely difficult tests that can assess whether a future advanced AI agent is capable of modifying its own code and improving itself.
She’s not long on charisma or passion but keeps perfect rhythm and is never prone to temperamental outbursts against the musicians beneath her three batons. Meet MAiRA Pro S, the next-generation robot conductor who made her debut this weekend in Dresden.
Her two performances in the eastern German city are intended to show off the latest advances in machine maestros, as well as music written explicitly to harness 21st-century technology. The artistic director of Dresden’s Sinfoniker, Markus Rindt, said the intention was “not to replace human beings” but to perform complex music that human conductors would find impossible.
Roli, the maker of quirky, portable, and expressive digital pianos and keyboard instruments, has a new device that can both teach budding pianists how to play music and provide seasoned musicians with a new way of adding filters and effects to their songs by waving their hands and wiggling their fingers.
The Roli Airwave is a 14.5-inch tall stand with a camera on top. The camera is positioned downward to track the movements of a player’s fingers as they dance across a keyboard sitting at the base of the stand. The movements of a player’s hands that are captured by the camera are streamed in real time onto the screen of a tablet that sits on the easel-like Airwave stand. The visuals can be used as a teaching tool to show the player which fingers should strike which keys, or offer some additional guidance on how to play a song just right. Of course, the Airwave uses machine intelligence and computer vision to track the player’s hands and to offer its advice on where those hands should be placed.
Continue reading “Roli’s New Instrument Is Both an AI Piano Teacher and a Digital Theremin” »
Can Tesla meet the production timeline for Optimus? Share your thoughts in the comments.
Tesla’s humanoid robot, Optimus, is set to enter production by 2025. Elon Musk announced that low production for internal use will begin next year, with high production for external companies expected in 2026. Optimus Gen 2, featuring a new design, was showcased at the 2024 World Artificial Intelligence Conference in Shanghai. Tesla has been conducting field tests in its gigafactories, indicating progress towards Musk’s timeline for Optimus’ production.
8,519 likes, — unfiltered.politics on October 10, 2024: “BREAKING: #ElonMusk at ‘We, Robot’ event unveils the #TeslaOptimus, says it will be ”biggest product ever of any kind”
I want one, where can I sign up? 🤖
#Musk #Tesla #Cybercab #elon #irobot #werobot
It’s a van. Its seats up to 20 people, it’s autonomous, it can be configured for goods and yes it will look like this IRL. … #tesla #cybervan #autonomus #future #technology #ev
Researchers at Freie Universität Berlin, University of Maryland and NIST, Google AI, and Abu Dhabi set out to robustly estimate the free Hamiltonian parameters of bosonic excitations in a superconducting quantum simulator. The protocols they developed, outlined in a paper pre-published on arXiv, could contribute to the realization of highly precise quantum simulations that reach beyond the limits of classical computers.
All proteins are composed of chains of amino acids, which generally fold up into compact globules with specific shapes. The folding process is governed by interactions between the different amino acids—for example, some of them carry electrical charges—so the sequence determines the structure. Because the structure in turn defines a protein’s function, deducing a protein’s structure is vital for understanding many processes in molecular biology, as well as for identifying drug molecules that might bind to and alter a protein’s activity.
Protein structures have traditionally been determined by experimental methods such as x-ray crystallography and electron microscopy. But researchers have long wished to be able to predict a structure purely from its sequence—in other words, to understand and predict the process of protein folding.
For many years, computational methods such as molecular dynamics simulations struggled with the complexity of that problem. But AlphaFold bypassed the need to simulate the folding process. Instead, the algorithm could be trained to recognize correlations between sequence and structure in known protein structures and then to generalize those relationships to predict unknown structures.
“This makes the scam much harder to spot, as the information provided is personally relevant to the victims, arrives via the expected communication channel, and the linked, fake websites look as expected.”
What’s more, the diversification of the victimology footprint has been complemented by improvements to the toolkit that allow the scammer groups to speed up the scam process using automated phishing page generation, improve communication with targets via interactive chatbots, protecting phishing websites against disruption by competitors, and other goals.
Telekopye’s operations have not been without their fair share of hiccups. In December 2023, law enforcement officials from Czechia and Ukraine announced the arrest of several cybercriminals who are alleged to have used the malicious Telegram bot.
