Full episode with Joscha Bach (Jun 2020): https://www.youtube.com/watch?v=P-2P3MSZrBM
Clips channel (Lex Clips): https://www.youtube.com/lexclips.
Main channel (Lex Fridman): https://www.youtube.com/lexfridman.
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Picture this: You’re in a conference room, surrounded by a mix of designers, engineers and strategists, all eager to brainstorm your company’s next big innovation. Could a machine be more effective at guiding this brainstorming session than your human team? It may sound counterintuitive, but AI is not only catching up to human creativity — it’s excelling in ways that could redefine how we approach innovation.
Related: How To Use Entrepreneurial Creativity For Innovation
Tech execs have voiced concern that the development of artificial intelligence is concentrated in the hands of too few companies, potentially giving them too much power. OpenAI’s ChatGPT marked the start of what many in the industry have called an AI arms race, as tech giants including Microsoft and…
ChatGPT marked the start of what many in the industry have called an AI arms race, as tech giants have sought to launch AI models.
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.
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.
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 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.
Get ready for an age when there is only one pilot in the cockpit. Because soon, there will be none.
Kool99/iStock.
The year began with the news of an AI system flying a F-16 fighter jet for over 17 hours. That a computer system can fly a tactical aircraft without any human intervention speaks volumes about how far the technology has come today.
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.
