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Blog – Page 1786

A new generative artificial intelligence startup called Cognition AI Inc. is looking to disrupt coding with the launch of a new tool that can autonomously create code for entire engineering jobs, including its own AI models.

That tool’s name is Devin, and it takes the premise of GitHub Inc.’s and Microsoft Corp.’s Copilot developer tool much further, as it can carry out entire jobs on its own, rather than simply assist a human coder.

In a video (below) attached to a blog post announcing Devin, Cognition Chief Executive Scott Wu demonstrates how users can view the model in action. They can see its command line, code editor and workflow as it goes step-by-step, completing comprehensive coding projects and data research tasks assigned to it.

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A newly discovered species of prehistoric bird that lived 120 million years ago is shedding light on how modern birds evolved from their dinosaur ancestors, according to a study published last week in the journal Cretaceous Research.

The scientists who discovered the novel species gave it a name that highlights its uniqueness and pays tribute to the British naturalist David Attenborough: Imparavis attenboroughi, which means “Attenborough’s strange bird” in Latin.

What intrigues researchers is that the proto-bird lacked teeth. While no birds have teeth today, this characteristic made the species abnormal among its contemporaries, as most prehistoric birds still had teeth and claws.

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And setting a new state of the art on the SWE-bench coding benchmark

Meet Devin, the world’s first fully autonomous AI software engineer. ‍ Devin is a tireless, skilled teammate, equally ready to build alongside you or independently complete tasks for you to review.

With Devin, engineers can focus on more interesting problems and engineering teams can strive for more ambitious goals.

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JILA breakthrough in integrating artificial atoms with photonic circuits advances quantum computing efficiency and scalability.

In quantum information science, many particles can act as “bits,” from individual atoms to photons. At JILA, researchers utilize these bits as “qubits,” storing and processing quantum 1s or 0s through a unique system.

While many JILA Fellows focus on qubits found in nature, such as atoms and ions, JILA Associate Fellow and University of Colorado Boulder Assistant Professor of Physics Shuo Sun is taking a different approach by using “artificial atoms,” or semiconducting nanocrystals with unique electronic properties. By exploiting the atomic dynamics inside fabricated diamond crystals, physicists like Sun can produce a new type of qubit, known as a “solid-state qubit,” or an artificial atom.

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With coral reefs under attack from ongoing climate change effects, what steps can be taken to reverse the damage? This is what a recent study published in iScience hopes to address as a team of international researchers investigated how to monitor coral reef health that is impacted through climate change, specifically with altering biomineralization, which is the driving force behind coral reef formation. This study holds the potential to help scientists better understand how climate change impacts coral reef health and potential steps to improve conservation of corals throughout the world.

“The whole ecosystem is dying. You can listen to the death all you want, but what are you going to do to fix it?” said Dr. Mark Martindale, who is the director of the University of Florida’s Whitney Laboratory for Marine Bioscience and a co-author on the study. “In order to do that, you need to understand what the problems are. And you need an experimental system to do that. Now we have that system.”

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Neural networks have been powering breakthroughs in artificial intelligence, including the large language models that are now being used in a wide range of applications, from finance, to human resources to health care. But these networks remain a black box whose inner workings engineers and scientists struggle to understand.

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How fast did the first galaxies and stars form after the Big Bang? This is what a recent study published in Nature Astronomy hopes to address as an international team of scientists led by the University of Melbourne used NASA’s James Webb Space Telescope (JWST) to observe the merger of two galaxies that occurred approximately 510 million years after the Big Bang, or approximately 13 billion years ago. This study holds the potential to help astronomers better understand the processes behind galaxy formation and evolution during the universe’s youth.

“It is amazing to see the power of JWST to provide a detailed view of galaxies at the edge of the observable Universe and therefore back in time” said Dr. Michele Trenti, who is a Professor and Cosmologist in the School of Physics at the University of Melbourne and a co-author on the study. “This space observatory is transforming our understanding of early galaxy formation.”

For the study, the researchers used JWST’s powerful infrared instruments to observe what they hypothesize to be two merging galaxies comprised of a primary clump and a long tail with a mass equivalent to approximately 1.6 × 109 masses of our Sun that contains approximately 10 percent of the metals of our Sun and growing by approximately 19 solar masses per year. Additionally, they estimate the stars within these merging galaxies are less than 10 million years old within the main clump of the merger and stars in the outer regions to be approximately 120 million years old.

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