Apple Launches Faster M2 Chips, Powerful Laptops in Rare January Launch

17 February 2016, Bavaria, Munich: The Apple logo shines on the facade of an Apple Store. (dpa)
17 February 2016, Bavaria, Munich: The Apple logo shines on the facade of an Apple Store. (dpa)
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Apple Launches Faster M2 Chips, Powerful Laptops in Rare January Launch

17 February 2016, Bavaria, Munich: The Apple logo shines on the facade of an Apple Store. (dpa)
17 February 2016, Bavaria, Munich: The Apple logo shines on the facade of an Apple Store. (dpa)

Apple Inc on Tuesday unveiled MacBooks powered by its new M2 Pro and M2 Max chips, in a surprise announcement weeks ahead of its traditional launch event. 

The Mac mini starts at $599, cheaper than the latest iPhone 14 series, and is available from Jan. 24. MacBook Pro 14-inch and 16-inch with the latest chips start at $1,999, compared with the $1,299 price tag of a 13-inch model fitted with the M2 chip. 

Apple's latest chips are upgrades to the M2 chip launched last year and a part of the company's efforts to rely more on chips designed in-house after it moved away from using Intel's technology in 2020 following 15 years of collaboration. 

The M2 Pro has nearly 20% more transistors than the M1 Pro and double the amount in M2, helping programs like Adobe Photoshop run heavy workloads "faster than ever", Apple said. 

The company replaced chipmaker Nvidia as one of the top ten semiconductor vendors by revenue last year, according to a Gartner report on Tuesday. 

"This is all connected to the delayed chipset transition ... With it being delayed, Apple has been faced with the questions to wait for the traditional, expected launch or actually do something a bit unexpected," said Canalys research analyst Runar Bjørhovde. 

"This is a great way of throwing things around and surprising the consumers and competitors," Bjørhovde said, adding that the announcement could generate some hype when the market is currently tough for vendors and a quiet month for Apple. 

The company traditionally has four launch events in a year, with the first spring event scheduled in March, when Apple launches its iMacs and accessories. 

Last year, Apple launched a lower-end iPhone and M1 Ultra chip in March, followed by the iPhone 14 ahead of the holidays, a phone that did not get as much attention due to its high price point and similarities to the iPhone 13. 



SDAIA, KAUST Launch MiniGPT-Med Model to Help Doctors Diagnose Medical Radiology through AI

SDAIA, KAUST Launch MiniGPT-Med Model to Help Doctors Diagnose Medical Radiology through AI
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SDAIA, KAUST Launch MiniGPT-Med Model to Help Doctors Diagnose Medical Radiology through AI

SDAIA, KAUST Launch MiniGPT-Med Model to Help Doctors Diagnose Medical Radiology through AI

The Center of Excellence for Data Science and Artificial Intelligence at the Saudi Data and Artificial Intelligence Authority (SDAIA) and King Abdullah University of Science and Technology (KAUST) have introduced the MiniGPT-Med model.

The large multi-modal language model is designed to help doctors quickly and accurately diagnose medical radiology using artificial intelligence techniques.

Dr. Ahmed Alsinan, the Artificial Intelligence Advisor at the National Center for Artificial Intelligence and head of the scientific team at SDAIA, explained that the MiniGPT-Med model is capable of performing various tasks such as generating medical reports, answering medical visual questions, describing diseases, locating diseases, identifying diseases, and documenting medical descriptions based on entered medical images.

The model was trained on different medical images, including X-rays, CT scans, and MRIs.

The MiniGPT-Med model, derived from large-scale language models, is specifically tailored for medical applications and demonstrates significant versatility across different imaging methods, including X-rays, CT scans, and MRI. This enhances its utility in medical diagnosis.

Dr. Alsinan highlighted that the MiniGPT-Med model was developed collaboratively by artificial intelligence specialists from SDAIA and KAUST.

The model exhibits advanced performance in generating medical reports, achieving 19% higher efficiency than previous models. It serves as a general interface for radiology diagnosis, enhancing diagnostic efficiency across various medical imaging applications.