Toggle light / dark theme

From IAC-The Institute of Astrophysics of the Canary Islands [Instituto de Astrofísica de Canarias] (ES)

11.21.23 Helmut Dannerbauer [email protected].

1
Artist’s impression of a protocluster of galaxies in the early Universe showing galaxies forming new stars and interacting with each other. Credit: M. Kornmesser/ESO.

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.

Heating and cooling needs account for 50 percent of energy demand and using the Sun’s heat directly is an effective to curb fossil fuel requirements.


Naked Energy, a UK-based solar energy startup, has a different way of tapping into the renewable source. Its approach can be classified as a solar thermal energy system which utilizes the heat from the Sun and uses it directly for heating applications instead of trying to store it in a battery.

The rapid rise of solar as a source of energy has been fueled by the declining pricing of photovoltaic (PV) cells. This approach is easy to scale and has helped set up massive solar energy farms in different parts of the world. However, the solution needs large investments in energy storage.

Faster installations could reduce construction costs as well as bring farms online faster, both big wins for the wind industry.


Goldwind.

Wind turbines are critical tools in our drive to generate electricity using renewable energy sources. The advent of offshore installations has ushered in the possibility of building larger turbines that can harness greater energy in a single sweep.

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.

“I’m proud to be a crew member on this mission, but especially to be participating as a Canadian astronaut,” Kutryk said. “I’m proud that our country continues to play a leading role in space. It’s very important for our country.”

But that isn’t all for our Canadian astronauts.

The CSA also announced that Jenni Gibbons will be Jeremy Hansen’s back-up for the Artemis II mission.