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Category: robotics/AI – Page 955

Robots & Warfare

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Robots play an ever greater role in every aspect of our lives, including the battlefield, but what will their role be in the wars of the future?

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Credits:
Robots & Warfare.
Episode 403a, July 16, 2023
Written, Produced & Narrated by:
Isaac Arthur.

Music Courtesy of:
Epidemic Sound http://epidemicsound.com/creator.
Markus Junnikkala, “We Roam the Stars“
Stellardrone, “Red Giant”, “Between the Rings“
Miguel Johnson, “Far From Home”, “So Many Stars“
Aerium, “Fifth Star of Aldebaran”

Washington University surgeons perform first-ever robotic liver transplant in the US

“The transplant was a success: The operation went smoothly, the new liver started working right away, and the patient recovered without any surgical complications.”

Doctors in the United States have successfully performed a robotic liver transplant procedure, marking a significant advancement in the field of medical surgery.

In May 2023, the inaugural transplantation of this kind was carried out by a surgical team from Washington University School of Medicine in St. Louis. The significant procedure occurred at Barnes-Jewish Hospital.

This autonomous robot rolls to its destination and flies over obstacles

It can go into extremely tricky spaces and stop humans from putting their lives in danger.

A student-founded startup, Revolute Robotics, from Arizona has built the Hybrid Mobility Robot (HMR) – a fully autonomous bot that can roll to its destination and even fly over obstacles in its path. If the concept sounds interesting, just wait till you see it in action. It’s mesmerizing.

Autonomous bots come in all shapes and sizes. Some can fly, some use wheels, and some even walk on two legs. They are usually designed with a specific application in mind and equipped with tools to get it done. However, mixing modes of movement is a complex game and the startup seems to have cracked the puzzle quite well.

Will AI make MC the MVP of particle physics?

Originally developed nearly a century ago by physicists studying neutron diffusion, Monte Carlo simulations are mathematical models that use random numbers to simulate different kinds of events. As a simple example of how they work, imagine you have a pair of six-sided dice, and you’d like to determine the probability of the dice landing on any given number.

“You take your dice, and you repeat the same exercise of throwing them on the table, and you look at the outcome,” says Susanna Guatelli, associate professor of physics at the University of Wollongong in Australia.

By repeating the dice-throwing experiment and recording the number of times your dice land on each number, you can build a “probability distribution”—a list giving you the likelihood your dice will land on each possible outcome.

Meta open-sources LLaMA 2 to compete with ChatGPT

The more competition the better. Download and spread around the world so large companies cant seal away competition under a cloak of AI safety.

Meta, the company formerly known as Facebook, has recently announced that it is open-sourcing its large language model (LLM) called LLaMA 2, making it free for commercial and research use. This move is seen as a direct challenge to OpenAI’s ChatGPT, the popular chatbot powered by the GPT-4 model, which is not open-sourced and requires a subscription fee to access.

LLaMA 2 is a generative AI model that can produce natural language texts based on a given input or prompt. It can be used for various applications such as chatbots, content creation, summarization, translation, and more. LLaMA 2 is the second version of Meta’s LLM, which was first released in February 2023. According to Meta, LLaMA 2 was trained on 40% more data than LLaMA 1, which includes information from “publicly available online data sources”. It also claims that it “outperforms” other LLMs like Falcon and MPT when it comes to reasoning, coding, proficiency, and knowledge tests.

Meta decided to make LLaMA 2 available for free through Microsoft’s Azure platform, as well as other providers such as AWS, Hugging Face, and direct download. Meta said that it wants to give businesses, startups, and researchers access to more AI tools, allowing for experimentation and innovation as a community. Meta also said that it is committed to “building responsibly” as it moves forward with its AI system. The company said its models have been tested for safety by “generating adversarial prompts to facilitate model fine-tuning”, both internally and externally. Meta also discloses how the models are evaluated and tweaked.

Microsoft adds $154 billion in market value after it announces $30 per month AI subscription

No surprise. Already moving to make AI a subscription service like subscriptions to movie studios. But, i actually see it as a positive. 1. The Best AI service will have to put up or shut up and market will decide it; no more role play of who s the best. 2. Real customer service; no more, o you have a tec issue, sorry, get lost. 3. Funds and competition will force improvements.

Microsoft’s one-day gain in market value is more than the entire valuation of about 450 S&P 500 companies.

Protons set to power next-generation memory devices

A proton-driven approach that enables multiple ferroelectric phase transitions sets the stage for ultralow power, high-capacity computer chips.

A proton-mediated approach that produces multiple in could help develop high-performance memory devices, such as brain-inspired, or neuromorphic, computing chips, a KAUST-led international team has found. The paper is published in the journal Science Advances.

Ferroelectrics, such as indium selenide, are intrinsically polarized materials that switch polarity when placed in an , which makes them attractive for creating memory technologies. In addition to requiring low operating voltages, the resulting memory devices display excellent maximum read/write endurance and write speeds, but their storage capacity is low. This is because existing methods can only trigger a few ferroelectric phases, and capturing these phases is experimentally challenging, says Xin He, who co-led the study under the guidance of Fei Xue and Xixiang Zhang.