Amazon Adds Grubhub Food Delivery to its Website, App in the US

FILE PHOTO: The logo of Amazon is seen at the company logistics center in Boves, France, May 13, 2019. REUTERS/Pascal Rossignol/File Photo
FILE PHOTO: The logo of Amazon is seen at the company logistics center in Boves, France, May 13, 2019. REUTERS/Pascal Rossignol/File Photo
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Amazon Adds Grubhub Food Delivery to its Website, App in the US

FILE PHOTO: The logo of Amazon is seen at the company logistics center in Boves, France, May 13, 2019. REUTERS/Pascal Rossignol/File Photo
FILE PHOTO: The logo of Amazon is seen at the company logistics center in Boves, France, May 13, 2019. REUTERS/Pascal Rossignol/File Photo

Amazon.com on Thursday said its customers in the US can now order from Grubhub directly on its shopping app and the website, extending a deal that already offers its Prime members a no-fee access to Grubhub+ membership.
As part of the agreement, Amazon Prime members will continue to be eligible to avail a free Grubhub+ membership worth $120 a year, which includes free delivery on orders above $12, Reuters said.
Amazon already offers no-fee access to Grubhub, which is owned by Just Eat Takeaway.com, to US Prime members. The initial deal was struck for a year in 2022 and then the companies extended it for a year in 2023.
The new deal bundles the Grubhub membership with Prime and integrates it on its app and the website. It will remain available to the loyalty users "every year thereafter as long as they remain with Prime," Amazon said.
Prime membership in the US costs $139 a year and includes free delivery, gaming benefits, savings and discounts on medical prescriptions at nearly 60,000 pharmacies, access to Amazon Music, Prime Video and Prime Reading.
Amazon had secured the right to buy a 2% stake in Grubhub in July 2022.
In a separate statement, JustEat Takewaway said Amazon has received warrants representing 4% of Grubhub's equity and may also receive warrants up to a further 10% of Grubhub’s equity based on certain performance conditions.
"The important impact of this deal is that it makes GrubHub more attractive to a potential buyer, as Just Eat Takeaway has been attempting to sell it for some time now – since shortly after it made the initial acquisition," Sean Kealy, an analyst at Panmure Gordon, said.
About 167 million Amazon customers in the US subscribed to Prime in 2023, representing approximately 71% of all users in the country, according to data platform Statista.



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.