An initiative launched three years ago to tackle barriers to patient care has made significant progress in improving diabetes outcomes across Southeast Ohio.
For small businesses just starting out with batch tracking, a simple spreadsheet-based system can be a cost-effective ...
What if AI could tell you when your diabetes might get worse—before it happens? From blood sugar trends to retinal scans, ...
Artificial intelligence startup xAI, founded by Elon Musk, told city and county planners in Memphis last week that it plans to build a solar farm next to its Colossus data center — one of the world’s ...
Elon Musk’s xAI and Jensen Huang-led Nvidia announced Wednesday they are partnering with Saudi Arabia’s state-backed artificial intelligence firm to build a massive AI data center in the Persian Gulf ...
A pumpjack east of Andrews, Texas, in the heart of the state's Permian Basin, the region's primary oil and gas production area, stands in an area where fossil fuel giant Chevron is launching a move ...
The project is part of the company’s plans to power AI with a suite of natural gas plants in oil fields like the Permian Basin. Chevron announced plans Wednesday to build a massive natural gas plant ...
Meta plans to invest over $1 billion in a new data center in Beaver Dam, Wisconsin. The project is expected to create 100 operational jobs and support 1,000 construction jobs. The 700,000-square-foot ...
AI startup Anthropic said Wednesday it would invest $50 billion in building data centers in the US, the latest multi-billion-dollar outlay in the industry as companies race to expand their artificial ...
Nov 12 (Reuters) - AI startup Anthropic said on Wednesday it would invest $50 billion in building data centers in the U.S., the latest multi-billion-dollar outlay in the industry as companies race to ...
A new analysis tries to calculate the coming environmental footprint of AI in the US and finds that the ideal sites for data centers aren’t where they’re being built. An extensive new analysis looks ...
Introduction: This study aimed to develop a diabetic retinopathy (DR) Prediction model using various machine learning algorithms incorporating the novel predictor Triglyceride-glucose index (TyG).
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