New Electronic System to Limit Car Accidents

An investigator takes photos of a crash scene along Commonwealth Avenue involving a fire truck and a car Monday in Boston's Back Bay neighborhood. AP PHOTO
An investigator takes photos of a crash scene along Commonwealth Avenue involving a fire truck and a car Monday in Boston's Back Bay neighborhood. AP PHOTO
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New Electronic System to Limit Car Accidents

An investigator takes photos of a crash scene along Commonwealth Avenue involving a fire truck and a car Monday in Boston's Back Bay neighborhood. AP PHOTO
An investigator takes photos of a crash scene along Commonwealth Avenue involving a fire truck and a car Monday in Boston's Back Bay neighborhood. AP PHOTO

LG, for home appliances and TVs, has come up with a new driver-assistance system to mitigate or prevent car crashes.

The CNET.com website pointed out that the advent of new technology in cars, from 4G-connected navigation to driver assist systems, is opening up new opportunities beyond traditional automotive equipment suppliers. While the LG brand has appeared on a wide array of consumer electronics, the Korean company is now branching into automotive with new innovations.

LG, along with partners NXP, a chipmaker, and Hella, an automotive camera specialist, came up with a new automotive vision platform designed to detect objects and hazards in the driving environment, potentially preventing collisions.

This new automotive vision platform relies on a camera mounted behind the windshield, near the rear view mirror. With its processor, it can identify cyclists and pedestrians and automatically hit the brakes.

The system can also read road signs, alerting drivers to stop signs and speed limits, and see lane lines, warning of vehicle drift.

Late in 2017, NXP and Hella announced what the companies called an "open vision platform for autonomous safe driving," with Hella supplying cameras and NXP supplying chips that could process the imagery. The addition of LG adds further image processing expertise.



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.