See also stories tagged with Artificial intelligence
Companies building next-generation products and breakthrough technologies are often limited by the physical constraints of traditional materials. In aerospace, defense, energy, and industrial tooling, pushing those constraints ...
The startup Gigablue announced with fanfare this year that it reached a historic milestone: selling 200,000 carbon credits to fund what it describes as a groundbreaking technology in the fight against climate change.
Artificial intelligence may be marketed as society's great equalizer鈥攖ransforming businesses, streamlining work and making life easier for all鈥攂ut for many marginalized Americans, AI doesn't feel like a promise.
Figuring out the ages of stars is fundamental to understanding many areas of astronomy鈥攜et, it remains a challenge since stellar ages can't be ascertained through observation alone. So, astronomers at the University of ...
Between 1632 and 1760, records show that 734 Indigenous children were enslaved in France's North American colony, historian Dominique Deslandres reveals in two recent studies.
Methane (CH4) pyrolysis, a reaction that produces hydrogen without emitting carbon dioxide, often utilizes molten media catalysts. A recent research paper published in the journal ACS Catalysis has explored how artificial ...
There is a glaring lack of tracking for global recycling. Poor waste management is deeply connected to climate change, plastic pollution and global nutrient imbalances globally.
Australian farms are at the forefront of a wave of technological change coming to agriculture. Over the past decade, more than US$200 billion (A$305 billion) has been invested globally into the likes of pollination robots, ...
As the demand for data-intensive computing grows, so too does the need for next-generation memory technologies capable of delivering speed, energy efficiency, and scalability. Memristors鈥攔esistive memory devices that store ...
Researchers in Korea have developed an artificial intelligence (AI) technology that predicts molecular properties by learning electron-level information without requiring costly quantum mechanical calculations. The research ...
