Musk to Attend Twitter Staff Q&A Meet for First Time Since Launching Bid

In this file photo taken on April 26, 2022, the Twitter logo is seen at their headquarters in downtown San Francisco, California. (AFP)
In this file photo taken on April 26, 2022, the Twitter logo is seen at their headquarters in downtown San Francisco, California. (AFP)
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Musk to Attend Twitter Staff Q&A Meet for First Time Since Launching Bid

In this file photo taken on April 26, 2022, the Twitter logo is seen at their headquarters in downtown San Francisco, California. (AFP)
In this file photo taken on April 26, 2022, the Twitter logo is seen at their headquarters in downtown San Francisco, California. (AFP)

Elon Musk will speak to Twitter Inc employees this week for the first time since launching his $44 billion bid in April, a source said on Monday, citing an email from Twitter Chief Executive Parag Agrawal to staff.

The meeting is scheduled for Thursday, and Musk will take questions directly from Twitter employees, the source added.

The news, first reported by Business Insider, comes after Twitter said last week that it anticipated a shareholder vote on the sale by early August.

A Twitter spokesperson confirmed that Musk would attend the company all-hands meeting this week.

Earlier this month, Musk warned Twitter that he might walk away from his deal to acquire Twitter if it fails to provide the data on spam and fake accounts that he seeks.

Back in April, during an all-hands meeting with employees, Agrawal was seen quelling employee anger where employees demanded answers to how managers planned to handle an anticipated mass exodus prompted by Musk.



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.