It can take years of focused laboratory work to determine how to make the highest quality materials for use in electronic and photonic devices. Researchers have now developed an autonomous system that can identify how to synthesize “best-in-class” materials for specific applications in hours or days.
The new system, called SmartDope, was developed to address a longstanding challenge regarding enhancing properties of materials called perovskite quantum dots via “doping.”
“These doped quantum dots are semiconductor nanocrystals that you have introduced specific impurities to in a targeted way, which alters their optical and physicochemical properties,” explains Milad Abolhasani, an associate professor of chemical engineering at North Carolina State University and corresponding author of the paper “Smart Dope: A Self-Driving Fluidic Lab for Accelerated Development of Doped Perovskite Quantum Dots,” published open access in the journal Advanced Energy Materials.
As the dawn of generative AI unfolds, a distinct separation will emerge among professionals and businesses: those who leverage this transformative technology to enhance productivity and innovation and those who lag behind.
Discover how adopting a generative AI mindset, blending adaptability, curiosity, and collaboration, is key to thriving in the rapidly evolving professional landscape,.
The collaborative study seeks to revolutionize reservoir computing by mirroring the adaptability of the human brain.
Dr. Oscar Lee.
The team utilized chiral (twisted) magnets as a computational medium, employing an external magnetic field and temperature variations to adapt the material’s physical properties for diverse machine-learning tasks.
Two major powers are coming together to reach an agreement to limit technology for the greater good of humanity.
Presidents Joe Biden and Xi Jinping are poised to pledge a ban on the use of artificial intelligence (AI) in autonomous weaponry.
WhiteHouse/ European Commission.
The meeting, taking place on the sidelines of the Asia-Pacific Economic Cooperation (APEC) summit in San Francisco, marks the first face-to-face conversation between the leaders in a year.
Imagine a house that also turns into a robot 😀 Then you can just move it super easily anywhere: D.
When was the last time you sat down to watch a YouTube video by a real estate company? We’re going to assume never, because who even knew that real estate companies had YouTube accounts?
Japan’s Mitsui Real Estate Residential, however, not only has a YouTube account, but their recently posted video is becoming wildly popular. The company managed to combine their housing expertise with the fail-safe giant robot genre to create a short animated series about apartment buildings that transform into giant robots!
▼ Chou Kidou Gaiku: Kashiwa-no-Ha – Chapter 1: The Gate Tower.
Billionaire investor and former Facebook exec Chamath Palihapitiya thinks AI will radically change the job of the venture capitalist.
In a Friday episode of the “All-In Podcast,” hosted by Palihapitiya, Jason Calacanis, David Sacks, and David Friedberg, the investor said there was a “reasonable case to make” that the VC job could even cease to exist.
He said that changes to the industry sparked by AI could lead to VCs being replaced by “an automated system of capital against objectives.”
An AI that can identify the patients most at risk of pancreatic cancer could lead to earlier detection of the deadly disease, which currently kills 88% of patients within 5 years of diagnosis.
The challenge: People with pancreatic cancer typically don’t experience any symptoms until a tumor is large or the cancer has spread to other organs. As a result, most aren’t diagnosed until their cancer is advanced and much harder to treat.
Screening people without symptoms for pancreatic cancer could lead to earlier detection, but the only tests for it are expensive or invasive. As a result, they’re reserved for the few people doctors believe are at high risk of pancreatic cancer, due to a family history of the disease, for example.
