Nvidia Sets Monthly Record with Unprecedented Market Value Surge in January 

A NVIDIA logo is shown at SIGGRAPH 2017 in Los Angeles, California, US, July 31, 2017. (Reuters)
A NVIDIA logo is shown at SIGGRAPH 2017 in Los Angeles, California, US, July 31, 2017. (Reuters)
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Nvidia Sets Monthly Record with Unprecedented Market Value Surge in January 

A NVIDIA logo is shown at SIGGRAPH 2017 in Los Angeles, California, US, July 31, 2017. (Reuters)
A NVIDIA logo is shown at SIGGRAPH 2017 in Los Angeles, California, US, July 31, 2017. (Reuters)

NVIDIA Corp experienced a record-breaking surge in market value in January, the largest monthly increase ever, driven by heightened optimism around artificial intelligence (AI), positive analyst projections, and the company's announcement of expanded AI offerings.

The world's most valuable chipmaker saw its market value expand by an unprecedented $296.52 billion to about $1.52 trillion, surpassing its previous high of $248.23 billion in gains seen in May 2023.

Last month, Nvidia's stock climbed to new heights following the announcement of new desktop graphics processors and advancements in AI-related components and software.

Meanwhile, Microsoft, the world's most valuable company, also enjoyed a robust increase in market value, adding $159.36 billion, largely attributed to the rising demand for its Azure cloud service.

The tech giant on Tuesday reported higher than estimated quarterly profit and revenue, although investors turned cautious about its rising costs that are expected to "increase materially" on a sequential basis.

As of Wednesday, Microsoft's market value stood at $2.95 trillion, outstripping Apple Inc's $2.85 trillion in market capital.

Meanwhile, Meta Platforms saw a strengthening in its market value last month, crossing back over the $1 trillion mark for the first time since September 2021.

Meta's stock surged over 14% to a record high $451 after the bell on Thursday, elevating its market capitalization by $148 billion to $1.16 trillion after the Facebook owner delivered a 25% jump in revenue to $40.1 billion for the December quarter and declared its first-ever dividend.

On the other end of the spectrum, Tesla Inc emerged as the weakest performer among the top 20 global companies by market cap, losing about 24.5% of its value over the last month due to concerns over slowing growth. CEO Elon Musk has cautioned that sales growth would be "notably lower" this year despite recent price reductions.



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.