This is the 2nd time a major government report from Deloitte has been found to contain errors likely generated by AI.

First in Australia and now, as The Independent has confirmed, in a major healthcare policy paper for the Government of Newfoundland and Labrador #nlpoli #AI #deloitte

The artificial intelligence company said it was working with a developer to build a solar farm on 88 acres next to its Memphis site.

Machine learning and quantum computing in 50 years and why it matters? A THREAD.

In fifty years machine learning will feel less like software and more like a thinking partner. Quantum systems will let models explore layers of possibility far beyond classical limits.

#machinelearning #quantumai

Why Nano Tech Matters? A THREAD

Nanotech matters because it lets us build tools at the scale of atoms and molecules. At this tiny level materials behave in ways that open new paths for energy storage medicine computing and advanced sensors. #NANOTECH #quantumcomputing

The most exciting part of this tech era is that none of these fields stand alone. Nanotech powers hardware quantum computing expands possibility AI interprets patterns and machine learning adapts. Together they form a new scientific ecosystem.

Why invest in machine learning now? Because the foundation we build today will be the baseline for quantum enhanced AI later. The models that adapt early will dominate future research and industry.

Quantum sensors may be the quiet revolution. Better measurement of gravity chemistry and electromagnetic fields could unlock new science long before full quantum computers reach widespread use.

Nanotech and AI together create a feedback loop. Better nanoscale chips mean smarter models and smarter models design even better chips. This cycle is accelerating and it could reshape the global tech landscape far faster than expected.

AI ethics is becoming urgent because the tech no longer moves in slow steps. When quantum accelerates training cycles changes that used to take months could happen in hours. We need values that evolve as fast as the systems we build.

Machine learning is shifting from models that memorize to models that explore. When we pair that with quantum probability we get systems that can imagine possibilities before they exist. That might redefine what we call discovery.

People wonder when nanotech will become mainstream. The truth is it already is. Sensors in medicine advanced chips in phones and cutting edge materials all rely on nanoscale engineering. The next wave just makes it visible.

AI keeps getting smarter but the real breakthrough will come when models learn across both classical and quantum spaces. That fusion could give us reasoning systems that feel less mechanical and more like living intuition.

Quantum computing is not about speed alone. It is about exploring patterns that classical systems cannot even represent. Once we stabilize large quantum networks we gain access to answers that were hidden behind impossible calculations.

Why does nanotech matter? Because shrinking tools to the scale of atoms lets us build materials and processors with precision that feels impossible today. When machines start working at this level entire industries will transform overnight.

Interesting.

Hello everyone and this is the first post on bluesky.

Amtreonprediv is a next generation quantum computing, nanotech, artificial intelligence, and machine learning company focused on building breakthrough technologies that redefine the limits of computation and intelligent systems.

The presence of electrical activity has implications for surface chemistry, future human exploration and habitability on the Red Planet

Quantum chips just proved they’re ready for the real world

https://www.newsbeep.com/uk/178751/

UNSW Sydney nano-tech startup Diraq has shown its quantum chips aren’t just lab-perfect prototypes – they also hold…