Discover how AI and blockchain are joining forces to tackle challenges in transparency, scalability, and trust. Explore 3 projects leading decentralized AI innovation.
This in-depth analysis explores the implications of artificial superintelligence and why we must act now to ensure its development benefits humanity.
A team including researchers from Seoul National University College of Engineering has developed neuromorphic hardware capable of performing artificial intelligence (AI) computations with ultra-low power consumption. The research, published in the journal Nature Nanotechnology, addresses fundamental issues in existing intelligent semiconductor materials and devices while demonstrating potential for array-level technology.
Currently, vast amounts of power are consumed in parallel computing for processing big data in various fields such as the Internet of Things (IoT), user data analytics, generative AI, large language models (LLM), and autonomous driving. However, the conventional silicon-based CMOS semiconductor computing used for parallel computation faces problems such as high energy consumption, slower memory and processor speeds, and the physical limitations of high-density processes. This results in energy and carbon emission issues, despite AI’s positive contributions to daily life.
To address these challenges, it’s necessary to overcome the limitations of digital-based Von Neumann architecture computing. As such, the development of next-generation intelligent semiconductor-based neuromorphic hardware that mimics the working principles of the human brain has emerged as a critical task.
OpenAI’s senior leaders recently participated in a Reddit AMA session, revealing their future plans and other insights. The session featured Sam Altman (CEO), Kevin Weil (Chief Product Officer), Mark Chen (SVP of Research), Srinivas Narayanan (VP of Engineering), and Jakub Pachocki (Chief Scientist).
Model Development & Releases:
Q: Is there a plan to continue to release models in the “o” series from now on? Will you continue to improve on the “regular” models (e.g., GPT-3, 4, 4o, 5)? Both, or a combination of those?
NASA’s Curiosity rover, currently exploring Gale crater on Mars, is providing new details about how the ancient Martian climate went from potentially suitable for life – with evidence for widespread liquid water on the surface – to a surface that is inhospitable to terrestrial life as we know it.
Although the surface of Mars is frigid and hostile to life today, NASA’s robotic explorers at Mars are searching for clues as to whether it could have supported life in the distant past. Researchers used instruments on board Curiosity to measure the isotopic composition of carbon-rich minerals (carbonates) found in Gale crater and discovered new insights into how the Red Planet’s ancient climate transformed.
“The isotope values of these carbonates point toward extreme amounts of evaporation, suggesting that these carbonates likely formed in a climate that could only support transient liquid water,” said David Burtt of NASA’s Goddard Space Flight Center in Greenbelt, Maryland, and lead author of a paper describing this research published October 7 in the Proceedings of the National Academy of Sciences. “Our samples are not consistent with an ancient environment with life (biosphere) on the surface of Mars, although this does not rule out the possibility of an underground biosphere or a surface biosphere that began and ended before these carbonates formed.”
Joscha Bach puts forward his radical theory of cyber animism.
Can the natural world be understood in terms of software agents?
Continue reading “A radical theory of consciousness | AI researcher Joscha Bach” »
Pick and place bots autonomously doing household chores. Progress! 🦾🤖
The idea of a robot that does a wide range of household chores, from unloading the dryer to folding laundry to cleaning up a messy table, has long seemed like pure science fiction—perhaps most famously embodied by the 1960s fantasy that was Rosey in The Jetsons.
Physical Intelligence, a startup in San Francisco, has shown that such a dream might actually not be so far off, demonstrating a single artificial intelligence model that has learned to do a wide range of useful home chores—including all of the above—by being trained on an unprecedented amount of data.
Continue reading “This Is a Glimpse of the Future of AI Robots” »
The search engine will provide conversational answers to users about current events on Meta AI.
EngineAI’s SE01 humanoid robot redefines robotics with its smooth, human-like movement powered by advanced AI neural networks, showcasing a new level of realism in robotic technology. Clone Robotics pushes the boundaries further, creating a lifelike torso with synthetic muscles and joints that replicate the human musculoskeletal system, setting a new standard in AI-driven, realistic robotics. These innovations from EngineAI and Clone Robotics are transforming the future of humanoid robots, bringing AI and robotics closer to lifelike androids capable of human-like behavior, movement, and dexterity.
🔍 Key Topics Covered:
EngineAI’s groundbreaking humanoid robot, SE01, with AI-driven natural movement that mimics human gait.
Clone Robotics’ advanced torso robot, featuring synthetic muscles and joints for lifelike movement.
Real-world applications and implications for humanoid robots in industries, education, and daily life.
Continue reading “Introducing The First SYNTHETIC AI HUMAN With Real Muscles (FAKE HUMANS SOON)” »
