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Category: robotics/AI – Page 13

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.

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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.”

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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.

Continue reading “Elon Musk Serves Up New Starship Program Information” | >

We are currently facing the possibility of achieving immortality for humans by 2030. This prediction comes from renowned futurist Ray Kurzweil, who has a history of making accurate predictions. He anticipates that with the ongoing progress in genetics, robotics, and nanotechnology, we will soon have nanobots coursing through our bloodstream, which could enable us to live forever. It’s truly remarkable to consider that this could be a reality within just seven years.

Nanobots, which are small robots sized between 50–100 nm in width, are currently being used in various clinical medical applications. They are used in research as DNA probes, imaging materials for cells, and targeted delivery vehicles for cells. According to Kurzweil, nanobots represent the future of medicine.

They will be capable of repairing our bodies at a cellular level, making us resistant to diseases, aging, and, ultimately death. Additionally, he theorizes that humans may be able to transfer their consciousness into digital form, leading to immortality.

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A research team has developed autonomous driving software that allows inexpensive sensors to detect transparent obstacles such as glass walls, providing an alternative to high-performance sensors. This technology can be used in existing robots, negating the need for additional equipment while ensuring detection performance that is equal to that offered by expensive conventional equipment.

The paper is published in the journal IEEE Transactions on Instrumentation and Measurement. The team was led by Professor Kyungjoon Park at the Department of Electrical Engineering and Computer Science, Daegu Gyeongbuk Institute of Science & Technology.

Autonomous driving robots typically use LiDAR sensors to detect their surroundings and navigate. Functioning as “laser eyes,” expensive LiDAR sensors determine distance and structure by projecting light and measuring reflection time.

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A new AI-powered method is changing how scientists measure the universe. Developed by researchers at the Flatiron Institute and their partners, this technique offers a far more accurate way to determine the cosmos’ key properties.

The approach, known as Simulation-Based Inference of Galaxies (SimBIG), pulls hidden clues from galaxy patterns. It goes beyond older techniques by uncovering information that was previously out of reach.

Using AI, the team cut uncertainty in critical parameters—like how clumpy matter is in the universe—to less than half. These results match closely with other cosmic measurements, including the light from the universe’s earliest moments.

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For the design of future materials, it is important to understand how the individual atoms inside a material interact with each other quantum mechanically. Previously inexplicable vibrational states between carbon chains (carbyne) and nanotubes have puzzled materials scientists.

Researchers from Austria, Italy, France, China and Japan led by the University of Vienna have now succeeded in getting to the bottom of this phenomenon with the help of Raman spectroscopy, innovative theoretical models and the use of machine learning. The results, published in Nature Communications, show the universal applicability of as a sensor due to its sensitivity to external influences.

For the design of future materials, it is important to understand how matter interacts on an atomic scale. These quantum mechanical effects determine all macroscopic properties of matter, such as electrical, magnetic, optical or . In experiments, scientists use Raman spectroscopy, in which light interacts with matter, to determine the vibrational eigenstates of the atomic nuclei of the samples.

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