The snowballing ability of artificial intelligence to trawl open data sets has some scientists worried about losing control ...

Focus: Built for tasks like fraud detection where precision matters. We needed a universal tool for both PDF and image processing with best-in-class OCR support through local engines (EasyOCR, ...

Electricity demand from U.S. data centers is projected to be 36 percent higher over the next decade than forecast a few months ago, signaling how quickly the industry is changing amid the artificial ...

Scientists from the University of Helsinki and the University of Jyvaskyla in Finland have found silver from electronic waste can be recovered using common kitchen ingredients like vegetable oil and ...

State regulators and utlities are writing new rules to ensure data centers don’t drive up electricity prices or raise the risks of blackouts. As tech companies flood the electric grid with new data ...

Developing quality indicators (QI) for national purposes (eg, public disclosure, paying-for-performance) highlights the need to find accessible and reliable data sources for collecting standardised ...

I've developed a Python program that extracts data from over 10,000 companies in the SEC's EDGAR database and exports it to Excel. It uses the official SEC API to retrieve financial reports such as 10 ...

Scientists at ETH Zurich have developed a revolutionary method to extract gold from electronic waste using a milk-derived aerogel. This sustainable approach offers a greener alternative to traditional ...