EV Charging Stations Increased 60% Across UAE in 3 Years

UAE Minister of Energy and Infrastructure Suhail al-Mazrouei speaks at the second edition of the Electric Vehicles Innovation Summit (EVIS2023). (WAM)
UAE Minister of Energy and Infrastructure Suhail al-Mazrouei speaks at the second edition of the Electric Vehicles Innovation Summit (EVIS2023). (WAM)
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EV Charging Stations Increased 60% Across UAE in 3 Years

UAE Minister of Energy and Infrastructure Suhail al-Mazrouei speaks at the second edition of the Electric Vehicles Innovation Summit (EVIS2023). (WAM)
UAE Minister of Energy and Infrastructure Suhail al-Mazrouei speaks at the second edition of the Electric Vehicles Innovation Summit (EVIS2023). (WAM)

UAE Minister of Energy and Infrastructure Suhail al-Mazrouei revealed that the country's electric vehicle (EV) charging stations had risen nearly 60 percent over the past three years.

Mazrouei pointed to a noticeable increase in EV sales, which aligns with the ambitious plans, qualitative initiatives, and incentives provided by the government to encourage the conversion to electric vehicles.

Speaking on the sidelines of the Electric Vehicles Innovation Summit (EVIS2023), the minister said that the increase in the shift towards electric vehicles will contribute to reducing the carbon footprint, in line with the UAE's efforts to achieve climate neutral by 2050.

The government aims to increase the number of EVs on the roads by 2050, which would support the UAE's goals for climate neutrality, said the minister, noting that transportation is one of the sectors most concerned with reducing the carbon footprint.

He indicated that this requires everyone to take practical steps to reduce transportation emissions and help build appropriate infrastructure, frameworks, and policies to design a sustainable sector.

According to Statista, transportation accounts for 17 percent of global greenhouse gas emissions - behind only the power sector.

Public charging stations

Mazrouei announced that to fully realize the potential of electric mobility, the UAE is deploying a nationwide network of public and private charging stations equipped with the latest innovative technologies to reduce charging time.

"The stations follow a national guide that unifies their specifications across the emirates and aligns them with world-class standards," he added.

The minister stated that EVs "are set to be at the core of our shift to green mobility. The EV market looks promising and offers unique investment opportunities. We invite future-thinking businesses to capitalize on these opportunities."

EVIS2023 aims to promote the transition from dependence on fossil fuels to electric mobility, which saves the planet from the environmental consequences of CO2 and other emissions.

The summit's two-day conference will bring together delegates, experts, and representatives of the mobility industry from dozens of countries to discuss the current landscape and future challenges and opportunities.

It will feature more than 75 sessions, with keynote speakers, presentations, and panel discussions covering the EV industry's complete value chain.

It will be a valuable opportunity for attendants to network, share ideas and insights, and strike business deals.



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.