UK’s ICO Warns from Children’s Smart Toys, Watches

 Journalists check out the Samsung Galaxy Gear smartwatch at the
booth of Samsung during a media preview day at the IFA consumer
electronics fair in Berlin, September 5, 2013 / REUTERS/Fabrizio
Bensch
Journalists check out the Samsung Galaxy Gear smartwatch at the booth of Samsung during a media preview day at the IFA consumer electronics fair in Berlin, September 5, 2013 / REUTERS/Fabrizio Bensch
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UK’s ICO Warns from Children’s Smart Toys, Watches

 Journalists check out the Samsung Galaxy Gear smartwatch at the
booth of Samsung during a media preview day at the IFA consumer
electronics fair in Berlin, September 5, 2013 / REUTERS/Fabrizio
Bensch
Journalists check out the Samsung Galaxy Gear smartwatch at the booth of Samsung during a media preview day at the IFA consumer electronics fair in Berlin, September 5, 2013 / REUTERS/Fabrizio Bensch

UK’s Information Commissioner's’ Office (ICO) has warned parents that cameras and microphones connected to smart toys could be hacked and thus expose children to serious dangers.

ICO has urged parents to turn off cameras and microphones settings in those games, because they could reveal children’s locations or allow hackers to communicate with them, according to “The i” newspaper.

Some toys and devices with internet connections and Bluetooth support are vulnerable to interception by hackers, deputy commissioner Steve Wood has warned.

“You wouldn’t knowingly give a child a dangerous toy, so why risk buying them something that could be easily hacked into by strangers?” he said.

The writer advised parents to change any supplied default passwords and codes, which are easily stored in databases and accessed by hackers, and to disable the ability to view footage on any in-built web cameras remotely.

Wood noted: “One of the main selling points of children’s smart watches is the ability for parents to know where their children are at all times. However, if this isn’t done securely, then hackers might have access to this data as well. Immediately get rid of default location tracking and GPS settings and set strong, unique passwords,” he added.

The advice follows a recent report by consumer group “Which?” into smart toys with weak security. The report identified security issues with Furby Connect, Toy-fi Teddy, and CloudPets cuddly toys, which could allow adults to take control of the toy remotely and communicate with a child. These toys feature unsecured Bluetooth connections, meaning the security testers were not required to supply a password.

Wood added: “If you aren’t convinced a smart toy or connected/wearable device will keep your children or your personal information safe, then don’t buy it. If consumers reject products that won’t protect them, then developers and retailers should soon get the message.”



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.