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AI algorithms approach the theoretical limit of optical measurement precision

No image is infinitely sharp. For 150 years, it has been known that no matter how ingeniously you build a microscope or a camera, there are always fundamental resolution limits that cannot be exceeded in principle. The position of a particle can never be measured with infinite precision; a certain amount of blurring is unavoidable. This limit does not result from technical weaknesses, but from the physical properties of light and the transmission of information itself.

TU Wien (Vienna), the University of Glasgow and the University of Grenoble therefore posed the question: Where is the absolute limit of precision that is possible with optical methods? And how can this limit be approached as closely as possible?

And indeed, the international team succeeded in specifying a lowest limit for the theoretically achievable precision and in developing AI algorithms for that come very close to this limit after appropriate training. This strategy is now set to be employed in imaging procedures, such as those used in medicine. The study is published in the journal Nature Photonics.

AI Pioneer Launches Research Group to Help Build Safer Agents

Yoshua Bengio, an artificial intelligence pioneer, is creating a new nonprofit research organization to promote an alternative approach to developing cutting-edge AI systems, with the aim of mitigating the technology’s potential risks. The nonprofit, called LawZero, is set to launch Tuesday with $30 million in backing from one of former Google Chief Executive Officer Eric Schmidt’s philanthropic organizations and Skype co-founder Jaan Tallinn, among others. Bengio will lead a team of more than 1

New laser smaller than a penny can measure objects at ultrafast rates

Researchers from the University of Rochester and University of California, Santa Barbara, engineered a laser device smaller than a penny that they say could power everything from the LiDAR systems used in self-driving vehicles to gravitational wave detection, one of the most delicate experiments in existence to observe and understand our universe.

Laser-based measurement techniques, known as optical metrology, can be used to study the physical properties of objects and materials. But current optical metrology requires bulky and expensive equipment to achieve delicate laser-wave control, creating a bottleneck for deploying streamlined, cost-effective systems.

The new chip-scale laser, described in a paper published in Light: Science & Applications, can conduct extremely fast and accurate measurements by very precisely changing its color across a broad spectrum of light at very fast rates—about 10 quintillion times per second.

Neurosymbolic AI Could Be the Answer to Hallucination in Large Language Models

The emerging field of neurosymbolic AI could solve these issues, while also reducing the enormous amounts of data required for training LLMs. So what is neurosymbolic AI and how does it work?

LLMs work using a technique called deep learning, where they are given vast amounts of text data and use advanced statistics to infer patterns that determine what the next word or phrase in any given response should be. Each model—along with all the patterns it has learned—is stored in arrays of powerful computers in large data centers known as neural networks.

LLMs can appear to reason using a process called chain-of-thought, where they generate multi-step responses that mimic how humans might logically arrive at a conclusion, based on patterns seen in the training data.

AI could ‘devastate’ Earth’s population down to the size of the UK by 2300, expert warns

Are we facing tech-stinction?

An Oklahoma tech expert predicted that artificial intelligence will become so omnipresent on the planet that Earth — with a current estimated population of about 8 billion — will have just 100 million people left by the year 2300.

“It’s going to be devastating for society and world society,” Subhash Kak, who teaches computer science at Oklahoma State University in Stillwater, Oklahoma, told the Sun. “I think people really don’t have a clue.”

Elon Musk Serves Up New Starship Program Information

SpaceX is making significant advancements in its Starship program, with plans for increased production, upcoming Mars missions, and ongoing developments in technology and infrastructure, despite facing some challenges ## ## Questions to inspire discussion.

🚀 Q: What is SpaceX’s target for Starship launches to Mars in 2026? A: SpaceX aims to launch 5 Starships to Mars in 2026, with Elon Musk estimating a 50/50 chance of meeting the 2026 Mars window.

🌎 Q: Which region on Mars is the primary landing target? A: The Arcadia region is the top candidate for landing locations due to its large ice deposits. Mission Objectives.

🛰️ Q: What is the main goal of the first Starship flight to Mars? A: The first flight aims to prove the ability to reach Mars by sending minimum viable vehicles to maximize learning and demonstrate key technologies.

🏗️ Q: What are the objectives for the second Starship flight to Mars? A: The second flight will focus on landing initial infrastructure, confirming resource availability, preparing landing areas, and delivering equipment for future human missions. Resource Utilization.

⛏️ Q: What are the key goals for the third Starship flight to Mars? A: The third flight will prioritize resource mining, propellant generation, road and pad construction, habitat building, and increasing power generation and storage.

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