“The fear is that they can’t afford to let someone else get there first,” said Scott Jenson, a UX designer who left Google last month.
Category: robotics/AI – Page 280
Apptronik, a NASA-backed robotics company, has unveiled Apollo, a humanoid robot that could revolutionize the workforce — because there’s virtually no limit to the number of jobs it can do.
“The focus for Apptronik is to build one robot that can do thousands of different things,” Jeff Cardenas, the company’s co-founder and CEO, told Freethink. “The best way to think of it is kind of like the iPhone of robots.”
The challenge: Robots have been automating repetitive tasks for decades — instead of having a person weld the same two car parts together 100 times a day, for example, an automaker might just add a welding robot to that segment of the assembly line.
The boom in AI funding rounds requiring a lot of capital at speed has increased attention to funding via SAFE notes.
NVIDIA has accelerated its GPU, CPU & AI roadmap significantly as stated by CEO, Jensen Huang, during the latest earnings call.
NVIDIA Will Be Launching Next-Gen GPUs, CPUs & AI Solutions Much Faster Than Everyone Else, Shifts To A 1-Year Cadence Instead of 2-Year
NVIDIA’s current roadmap includes the likes of Hopper H200 and its follow-up Blackwell in B100 & B200 GPUs. The company also previously teased X100 GPUs though we know from recent reports that the actual next-gen architecture comes as the Rubin “R100” series which looks like a major breakthrough for the company based on the specs, performance, and efficiency data that has been laid out.
Researchers from TU Delft and Brown University have engineered string-like resonators capable of vibrating longer at ambient temperature than any previously known solid-state object—approaching what is currently only achievable near absolute zero temperatures. Their study, published in Nature Communications, pushes the edge of nanotechnology and machine learning to make some of the world’s most sensitive mechanical sensors.
ESA’s newly graduated astronauts reach the end of one year of rigorous basic astronaut training. Discover the journey of Sophie Adenot, Rosemary Coogan, Pablo Álvarez Fernández, Raphaël Liégeois, Marco Sieber, and Australian Space Agency astronaut candidate Katherine Bennell-Pegg. Selected in November 2022, the group began their training in April 2023.
Basic astronaut training provides the candidates with an overall familiarisation and training in various areas, such as spacecraft systems, spacewalks, flight engineering, robotics and life support systems as well as survival and medical training. They received astronaut certification at ESA’s European Astronaut Centre on 22 April 2024.
Following certification, the new astronauts will move on to the next phases of pre-assignment and mission-specific training — paving the way for future missions to the International Space Station and beyond.
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A former Facebook director is praising AI’s prowess, likening the technology’s co-pilot coding ability to a religious experience.
In a Thursday post on X, Aditya Agarwal attempted to describe the feeling of coding alongside a large language model co-pilot.
Although this is still an emerging area of research, a new study has announced a leap. Researchers from the Center for Neuromorphic Engineering at the Korea Institute of Science and Technology (KIST) have implemented an integrated hardware system consisting of artificial neurons and synaptic devices using hexagonal boron nitride (hBN) material.
They aimed to construct building blocks of neuron-synapse-neuron structures that can be stacked to develop large-scale artificial neural networks.
“Artificial neural network hardware systems can be used to efficiently process vast amounts of data generated in real-life applications such as smart cities, healthcare, next-generation communications, weather forecasting, and autonomous vehicles,” said KIST’s Dr. Joon Young Kwak, one of the study’s authors, in a press release.
Autonomous and AI-enabled systems increasingly rely on optical and radio frequency sensors and significant computer power. They face growing vulnerabilities from directed-energy laser and microwave weapons.
In May the U.S. secretary of the Air Force flew in an F-16 that engaged in a mock dogfight over the California desert while controlled by artificial intelligence. Carmakers from San Francisco to Boston are jousting to deliver driverless cars. In Norway a crewless cargo ship carries fertilizer from port to port. On the land, sea and in the air, we face the coming of such autonomous platforms—some envisioned to benefit humanity, and others meant for destruction—available to everyone, to governments, businesses and criminals.
Large language models (LLMs), artificial neural networks-based architectures that can process, generate and manipulate texts in various human languages, have recently become increasingly widespread. These models are now being used in a wide range of settings, to rapidly find answers to queries, produce content for specific purposes and interpret complex texts.