AMD Introduces AI Chips for Business Laptops and Desktops

A smartphone with a displayed AMD logo is placed on a computer motherboard in this illustration taken March 6, 2023. (Reuters)
A smartphone with a displayed AMD logo is placed on a computer motherboard in this illustration taken March 6, 2023. (Reuters)
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AMD Introduces AI Chips for Business Laptops and Desktops

A smartphone with a displayed AMD logo is placed on a computer motherboard in this illustration taken March 6, 2023. (Reuters)
A smartphone with a displayed AMD logo is placed on a computer motherboard in this illustration taken March 6, 2023. (Reuters)

Advanced Micro Devices unveiled a new series of semiconductors for artificial intelligence-enabled business laptops and desktops on Tuesday as the chip designer looks to expand its share of the lucrative "AI PC" market.

These chips are expected to be available in platforms from HP and Lenovo starting in the second quarter of 2024, AMD said in a press release.

AI-enabled PCs are capable of running large-language models and apps powered by the technology directly on the device, instead of the cloud.

AMD said its latest Ryzen PRO 8040 Series was built for "business laptops and mobile workstations" while its AMD Ryzen PRO 8000 Series was a desktop processor for business users.

Its shares were up more than 2% in early trading.

Experts have pinned a possible recovery in the PC market on the introduction of AI PCs, as consumers look to upgrade their systems with the new capabilities.

The advent of generative AI technology has led to towering demand for advanced semiconductors that can be used to develop and run complex AI programs.

In the market for AI PCs, AMD faces intense competition from Intel and AI chip front-runner Nvidia, hailed as a leader for graphics processing units (GPUs).

AMD introduced the Ryzen 8000G Series of desktop chips in January, targeted towards the heavy workloads that come along with AI-based tasks.

On the same day, Nvidia unveiled its own AI PC chips - the "GeForce RTX SUPER" desktop GPUs - saying Acer, ASUS, Dell Technologies, HP, Lenovo, and Samsung will release AI laptops featuring its technology.

Intel also said in January it expects to "ship approximately 40 million AI PCs in 2024 alone".



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.