Top Tech Investors to Participate in 3rd Edition of LEAP in Riyadh

The event will feature more than 1,000 top speakers at 10 different stages. SPA
The event will feature more than 1,000 top speakers at 10 different stages. SPA
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Top Tech Investors to Participate in 3rd Edition of LEAP in Riyadh

The event will feature more than 1,000 top speakers at 10 different stages. SPA
The event will feature more than 1,000 top speakers at 10 different stages. SPA

LEAP is slated to hold its third edition, from March 4 to 7 at Riyadh Exhibition and Convention Center, Malham, under the theme “Into New Worlds”.
Organized by the Ministry of Communications & Information Technology, the Saudi Federation for Cybersecurity, Programming, and Drones, and Tahaluf company, the event will feature more than 1,000 top speakers at 10 different stages, according to a statement from the organizing committee.
LEAP will host the Investor Stage, in which world’s top investors will discuss innovative investment opportunities. This stage will also address topics such as the intersection of technology with government policies and innovation, and successful financing strategies.
It will also feature the Startup Stage, in which expert speakers such as Blossom Accelerator CEO & Founder Emon Shakoor, Raiven Capital Founding Partner Supreet Singh Manchanda, and Adaverse Founding Partner Vincent Li will discuss startup growth and innovation.
Sessions will address topics such as business planning and strategies, nurturing concepts into viable startup ideas, and the importance of enhancing user experience.
According to the statement, the Rocket Fuel Pitch competition returns at the third edition of LEAP, with total prizes exceeding $1,000,000 in six categories: LEAP Award $250,000 for the strongest, most outstanding startup across the whole competition, Shooting Star Award $150,000 for the early stage startup beginning its journey, the Aviatrix Award $150,000 for the best, most innovative startup pioneered by women founders, Technology for Humanity Award $150,000 for the startup that best embodies the “tech for humanity” spirit of LEAP, the Into New Worlds Award $150,000 for the most impressive startup occupying the Metaverse and Web 3.0 space, and the Artificial Intelligence Award $150,000 for the startup that presents the most exciting, ground-breaking usage of artificial intelligence.
The third edition of LEAP, held in partnership with the Small and Medium Enterprises General Authority (Monsha'at), and strategic partner STC, will be attended by world leading tech companies like Google, Microsoft, Oracle, Dell, Cisco, Avaya, SAP, ServiceNow, Ericsson, Amazon Web Services, IBM, Alibaba Group, and Huawei.



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.