Alphabet Seeks Dismissal of US Antitrust Lawsuit over Google's Online Ads

Letters spell the word "Alphabet" as they are seen on a computer screen with a Google search page in this photo illustration taken in Paris, France, August 11, 2015. REUTERS/Pascal Rossignol/File Photo
Letters spell the word "Alphabet" as they are seen on a computer screen with a Google search page in this photo illustration taken in Paris, France, August 11, 2015. REUTERS/Pascal Rossignol/File Photo
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Alphabet Seeks Dismissal of US Antitrust Lawsuit over Google's Online Ads

Letters spell the word "Alphabet" as they are seen on a computer screen with a Google search page in this photo illustration taken in Paris, France, August 11, 2015. REUTERS/Pascal Rossignol/File Photo
Letters spell the word "Alphabet" as they are seen on a computer screen with a Google search page in this photo illustration taken in Paris, France, August 11, 2015. REUTERS/Pascal Rossignol/File Photo

Google parent Alphabet asked a US federal judge on Monday to dismiss a Justice Department lawsuit alleging that the search giant illegally abused its dominance of online advertising.

The government, which filed the ad tech lawsuit in January along with eight states, had argued that Google should be forced to sell its ad manager suite. Google has denied any wrongdoing.

The case is being heard by US Judge Leonie Brinkema in the Eastern District of Virginia, Reuters reported.

The Justice Department's ad tech lawsuit follows a separate lawsuit filed in 2020, at the end of the Trump administration, that accused Google of violating antitrust law to maintain its dominance in search. That case goes to trial in September.

The Biden administration has sought to toughen antitrust enforcement. Alongside the Google suit, it also has a long list of merger challenges.



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.