Brief summary of this episode:
- (1:35) OpenAI: AI Beneficial for All.
- (7:15) AI as an existential risk.
- (11:47) Safe AI development.
- (16:16) Neuralink — “If you can’t beat ‘em, join ‘em.“
- (19:04) The Future of AI
Continue reading “OpenAI & Neuralink: Shaping Our AI Future” »
Imagine you sit down and pick up your favourite book. You look at the image on the front cover, run your fingers across the smooth book sleeve, and smell that familiar book smell as you flick through the pages. To you, the book is made up of a range of sensory appearances.
I think so.
A recent study demonstrates that machine learning methods could determine the risk of a viral jump or “spillover” from animals to humans.
While wind turbine and solar power platforms are beginning to take to the sea, another, more established form of power might also avoid hiking real estate costs.
A Copenhagen-based startup just raised funding to the sum of eight figures in Euros to begin construction of a new kind of cheap, flexible, portable, and unyieldingly safe nuclear reactor, according to a press release shared by the company, Seaborg Technologies.
Continue reading “A Company Is Producing Thousands of Cheap, Floating Nuclear Reactors” »
Today, 19:00 UTC, Bob Zubrin will present his book “The case for space”.
Follow on YouTube Space Renaissance channel.
It can be difficult to distinguish between substance and hype in the field of artificial intelligence. In order to stay grounded, it is important to step back from time to time and ask a simple question: what has AI actually accomplished or enabled that makes a difference in the real world?
This summer, DeepMind delivered the strongest answer yet to that question in the decades-long history of AI research: AlphaFold, a software platform that will revolutionize our understanding of biology.
Continue reading “AlphaFold Is The Most Important Achievement In AI —Ever” »
Effective methods for decoupling superconducting qubits (SQs) from parasitic environmental noise sources are critical for increasing their lifetime and phase fidelity. While considerable progress has been made in this area, the microscopic origin of noise remains largely unknown. In this work, first principles density functional theory calculations are employed to identify the microscopic origins of magnetic noise sources in SQs on an α-Al_{2}O_{3} substrate. The results indicate that it is unlikely that the existence of intrinsic point defects and defect complexes in the substrate are responsible for low frequency noise in these systems. Rather, a comprehensive analysis of extrinsic defects shows that surface aluminum ions interacting with ambient molecules will form a bath of magnetic moments that can couple to the SQ paramagnetically. The microscopic origin of this magnetic noise source is discussed and strategies for ameliorating the effects of these magnetic defects are proposed.
MIT trained an AI to generate photorealistic holograms in milliseconds using just the processing power of a smartphone.
