Reports suggest the tech giant is considering plans to power Airpods with AI cameras, smart ring, and smart glasses.
With wearables taking over the consumer electronics market, especially in the last five years, tech giant–Apple is considering plans for wearable devices.
TECNO’s Dynamic 1 is allegedly inspired by a German Shepherd.
Chinese technology company TECNO has officially unveiled its artificial intelligence (AI) enabled robotic dog called Dynamic 1. Showcased at the Mobile World Congress on Monday, February 26, in Barcelona, Dynamic 1 is the latest in robotic canines making the news of late.
According to reports on the robot’s capabilities, Dynamic 1 can climb up a flight of stairs thanks to its torque output of 45 Newton meters per kilogram (Nm/kg) and can also bow and “shake hands.”
Elon Musk has shared a new video on X of Tesla’s incredible Optimus robot taking a casual stroll around Tesla’s laboratory. Since being published on Saturday, February 24, the 1-minute and 18-second clip has garnered much attention, with almost 79 million views in a few days (at the time of writing).
The clip shows Optimus in a more complete aesthetic than previously released videos. It also shows how mobile the robot truly is. However, as other commentators have said, Tesla’s Optimus’ progress would have been impressive only a few years ago but lags behind other efforts like those by Boston Dynamics.
A team led by former Twitter engineers is rethinking how AI can be used to help people process news and information. Particle.news, which entered into private beta over the weekend, is a new startup offering a personalized, “multi-perspective” news reading experience that not only leverages AI to summarize the news, but also aims to do so in a way that fairly compensates authors and publishers — or so is the claim.
While Particle hasn’t yet shared its business model, it arrives at a time when there’s a growing concern about the impact of AI on a rapidly shrinking news ecosystem. News that is summarized by AI could limit clicks to publishers’ websites, which means their ability to monetize via advertising would also be reduced.
The startup was founded last year by former Senior Director of Product Management at Twitter, Sara Beykpour, who worked on products like Twitter Blue, Twitter Video, and conversations, and who spearheaded the experimental app, twttr. She had been at Twitter from 2015 through 2021, growing her position from software engineering to that of a senior director of product management. Her co-founder is a former senior engineer at both Twitter and Tesla, Marcel Molina.
Figure AI, a startup developing human-like robots, is reportedly in the process of raising $675 million in funding, with a pre-money valuation of roughly $2 billion.
Among the investors are Jeff Bezos’ Explore Investments, Microsoft, Nvidia and an Amazon-affiliated fund, Bloomberg reported Friday (Feb. 23), citing unnamed sources.
Other backers include Intel ’s venture capital arm, LG Innotek, Samsung ’s investment group, Parkway Venture Capital, Align Ventures, ARK Venture Fund, Aliya Capital Partners, Tamarack, Boscolo Intervest and BOLD Capital Partners, according to the report.
OpenAI’s new text-to-video model, Sora, will likely remain in development for some time before a public release.
According to Bloomberg, OpenAI has not yet set an exact release schedule. There are two reasons for this: One is that OpenAI does not want to take any safety risks, given the number of elections this year. The second reason is that the model is not yet technically ready for release.
When OpenAI unveiled Sora, the company pointed out shortcomings in the model’s physical understanding and consistency. Bloomberg’s tests with two OpenAI-generated prompts confirmed these issues. For example, in the video below, the parrot turns into a monkey at the end.
This definitely is a Lifeboat post embodying what Lifeboat is about, and it’s only about AI. They did a really good job explaining the 10 stages.
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For better or for worse, generative AIs continue to evolve by leaps and bounds with each passing day, a fact that has once again been proven by Google’s DeepMind team with the reveal of Genie, a new AI-powered model capable of creating entire games from just a single image prompt. Trained without any action labels on a large dataset of publicly available Internet videos, Genie can turn any image, whether it’s a real-world photograph, a sketch, an AI-generated image, or a painting, into a simplistic 2D platformer, with the team noting that this approach is versatile and applicable across various domains. Moreover, developers highlight that this new model opens the door for future AI agents to be trained “in a never-ending curriculum of new, generated worlds.”
Posted in futurism, robotics/AI
“God looked upon his world and called it good, but Man was not content. He looked for ways to make it better and built machines to do the work. But in vain we build the world, unless the builder also grows.” Tinged with earthbound authenticity and verbal courtroom sparring straight out of “Perry Mason,” this classic episode finds a robot — Adam Link — on trial for the murder of the scientist who created him. “Star Trek’s” Leonard Nimoy turns in a fine performance as the cock-sure reporter who coaxes a crusty lawyer, Thurman Cutler (Howard Da Silva), out of retirement to defend the accused automaton. Based on the classic “Adam Link” stories first published in 1939’s “Amazing Stories” magazine, “I, Robot” asks the question: In the race for more complex technology, are we creating beneficial machinery…or futuristic Frankenstein monsters? In 1995, Nimoy will return to this story in the revival series of “The Outer Limits,” this time as the District Attorney.
In a recent development at Fudan University, a team of applied mathematicians and AI scientists has unveiled a cutting-edge machine learning framework designed to revolutionize the understanding and prediction of Hamiltonian systems. The paper is published in the journal Physical Review Research.
Named the Hamiltonian Neural Koopman Operator (HNKO), this innovative framework integrates principles of mathematical physics to reconstruct and predict Hamiltonian systems of extremely-high dimension using noisy or partially-observed data.
The HNKO framework, equipped with a unitary Koopman structure, has the remarkable ability to discover new conservation laws solely from observational data. This capability addresses a significant challenge in accurately predicting dynamics in the presence of noise perturbations, marking a major breakthrough in the field of Hamiltonian mechanics.
