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Category: robotics/AI – Page 842

This AI Paper Introduces Φ-SO: A Physical Symbolic Optimization Framework that Uses Deep Reinforcement Learning to Discover Physical Laws from Data

Artificial Intelligence and Deep learning have brought about some great advancements in the field of technology. They are enabling robots to perform activities that were previously thought to be limited to human intelligence. AI is changing the way humans approach problems and bringing revolutionary transformations and solutions to almost every industry. Teaching machines to learn from massive amounts of data and make decisions or predictions based on that learning is the basic idea behind AI. Its application in scientific endeavors has given rise to some amazing tools that are gaining massive popularity in the AI community.

In Artificial Intelligence, Symbolic Regression has been playing an important role in the subtleties of scientific research. It basically focuses on algorithms that allow machines to interpret complicated patterns and correlations found in datasets by automating the search for analytic expressions. Scientists and researchers have been putting in efforts to explore the possible uses of Symbolic Regression.

Diving into the field of Symbolic Regression, a team of researchers has recently introduced Φ-SO, a Physical Symbolic Optimization framework. This method navigates the complexities of physics, where the presence of units is crucial. It automates the process of finding analytic expressions fitting complex datasets.

Airbus tests autonomous air-to-air refueling with AI-guided drones

The tests assessed the use of AI-based navigation sensors and enhanced algorithms for autonomous formation flight.

Airbus.

Following a first flight test earlier this year, this second flight test investigated the use of AI-based navigation sensors and enhanced algorithms for autonomous formation flight. “For the first time, we’ve tested the technologies for autonomous air-to-air refueling based on controlling and guiding multiple drones from the Multi Role Tanker Transport (MRTT) aircraft,” wrote Airbus in a post on X.

The Future Of AI Is At The Edge: Cloudflare Leads The Way

Cloudflare, the leading content delivery network and cloud security platform, wants to make AI accessible to developers.

While developers can use JavaScript to write AI inference code and deploy it to Cloudflare’s edge network, it is possible to invoke the models through a simple REST API using any language. This makes it easy to infuse generative AI into web, desktop and mobile applications that run in diverse environments.

In September 2023, Workers AI was initially launched with inference capabilities in seven cities. However, Cloudflare’s ambitious goal was to support Workers AI inference in 100 cities by the end of the year, with near-ubiquitous coverage by the end of 2024.

Cloudflare is one of the first CDN and edge network providers to enhance its edge network with AI capabilities through GPU-powered Workers AI, vector database and an AI Gateway for AI deployment management. Partnering with tech giants like Meta and Microsoft, it is offering a wide model catalog and ONNX Runtime optimization.

Nvidia shares close down on report it delays China AI chip designed to comply with U.S. export rules

Nvidia is delaying a new artificial intelligence chip for China that has been designed to comply with U.S. export restrictions, according to Reuters.

Nvidia shares closed down about 1.9% after a shortened trading day in the U.S.

Reuters, citing two sources familiar with the matter, reported that Nvidia told Chinese customers that it is delaying the launch of an AI chip that is designed to comply with U.S. export rules until the first quarter of next year.

The new chip, called the H20, was being delayed due to issues server manufacturers were having while integrating the semiconductor into their products, Reuters reported.

From Pixels to Paradigms: MIT’s Synthetic Leap in AI Training

Data is the new soil, and in this fertile new ground, MIT researchers are planting more than just pixels. By using synthetic images to train machine learning models, a team of scientists recently surpassed results obtained from traditional “real-image” training methods.

StableRep: The New Approach

At the core of the approach is a system called StableRep, which doesn’t just use any synthetic images; it generates them through ultra-popular text-to-image models like Stable Diffusion. It’s like creating worlds with words.

What is OpenAI Project Q*? AGI Superintelligence Explained

As the dust still settles on OpenAI’s latest drama, a letter has surfaced from several staff researchers citing concerns about an AI superintelligence model under development that could potentially pose a threat to humanity, according to those close to the source. The previously undisclosed letter is understood to be the real reason behind why Sam Altman was fired from the company.

The model, known internally as Project Q*, could represent a major breakthrough in the company’s pursuit of artificial general intelligence (AGI) – a highly autonomous branch of AI superintelligence capable of cumulative learning and outperforming humans in most tasks. And you were worried about ChatGPT taking all our jobs?

With Sam Altman now firmly back at the company and a new OpenAI board in place, here are all of the details of Project Q*, as well as the potential implications of AGI in the bigger picture.

Future Business Tech

This video explores the future of the world from 2030 to 10,000 A.D. and beyond…Watch this next video about the Technological Singularity: https://youtu.be/yHEnKwSUzAE.
🎁 5 Free ChatGPT Prompts To Become a Superhuman: https://bit.ly/3Oka9FM
🤖 AI for Business Leaders (Udacity Program): https://bit.ly/3Qjxkmu.
☕ My Patreon: https://www.patreon.com/futurebusinesstech.
➡️ Official Discord Server: https://discord.gg/R8cYEWpCzK

0:00 2030
12:40 2050
39:11 2060
49:57 2070
01:04:58 2080
01:16:39 2090
01:28:38 2100
01:49:03 2200
02:05:48 2300
02:20:31 3000
02:28:18 10,000 A.D.
02:35:29 1 Million Years.
02:43:16 1 Billion Years.

SOURCES:
• https://www.futuretimeline.net.
• The Singularity Is Near: When Humans Transcend Biology (Ray Kurzweil): https://amzn.to/3ftOhXI
• The Future of Humanity (Michio Kaku): https://amzn.to/3Gz8ffA
• AI 2041: 10 Visions of Our Future (Kai-Fu Lee & Chen Qiufan): https://amzn.to/3bxWat6
• Tim Ferriss Podcast [Chris Dixon and Naval Ravikant — The Wonders of Web3, How to Pick the Right Hill to Climb, Finding the Right Amount of Crypto Regulation, Friends with Benefits, and the Untapped Potential of NFTs (542)]: https://tim.blog/2021/10/28/chris-dixon-naval-ravikant/
• https://2050.earth/
• https://research.aimultiple.com/artificial-general-intellige…ty-timing/
• https://mars.nasa.gov/mars2020/spacecraft/rover/communications/
• https://www.forbes.com/sites/tomtaulli/2020/08/14/quantum-co…3acd9f3b4c.
• https://cointelegraph.com/news/tales-from-2050-a-look-into-a-world-built-on-nfts.
• https://medium.com/theblockchainu/a-day-in-life-of-a-cryptoc…a07649f14d.
• https://botland.store/blog/story-of-the-internet-from-web-1&…b-4-0/
• https://www.analyticsinsight.net/light-based-computer-chips-…h-photons/
• https://www.wired.com/story/chip-ai-works-using-light-not-electrons/
• https://www.science.org/content/article/light-based-memory-c…store-data.

💡 Future Business Tech explores the future of technology and the world.

Examples of topics I cover include:
• Artificial Intelligence & Robotics.
• Virtual and Augmented Reality.
• Brain-Computer Interfaces.
• Transhumanism.
• Genetic Engineering.

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