China’s Lenovo Extends Revenue Growth Streak, Beats Expectations

FILE PHOTO: A Lenovo logo is seen in Kiev, Ukraine April 21, 2016. REUTERS/Gleb Garanich/File Photo/File Photo
FILE PHOTO: A Lenovo logo is seen in Kiev, Ukraine April 21, 2016. REUTERS/Gleb Garanich/File Photo/File Photo
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China’s Lenovo Extends Revenue Growth Streak, Beats Expectations

FILE PHOTO: A Lenovo logo is seen in Kiev, Ukraine April 21, 2016. REUTERS/Gleb Garanich/File Photo/File Photo
FILE PHOTO: A Lenovo logo is seen in Kiev, Ukraine April 21, 2016. REUTERS/Gleb Garanich/File Photo/File Photo

China's Lenovo Group reported a 9% rise in fourth-quarter revenue to $13.8 billion on Thursday, as the world's largest maker of personal computers (PCs) exits a demand slump following the aftermath of the COVID-19 pandemic.
Revenue for the January-March quarter beat an average estimate of $13 billion drawn from eight analysts, according to LSEG data.
This marks a second consecutive quarter of revenue growth for Lenovo after it suffered five straight quarters of revenue declines amid the post-COVID slowdown, Reuters reported.
Last month, research firm IDC said the global PC market has finally returned to growth during the first quarter this year after suffering nearly two years of decline.
PC shipments grew 1.5% year over year to 59.8 million during the quarter, with Lenovo firmly holding on to the No.1 title with a 23% market share, according to IDC.
But overall, Lenovo's revenue for the year ended March 31 fell 8% to 61.9 billion, beating analysts' expectations of $56.19 billion.
Lenovo's net profit for the January-March quarter rose 118% to $248 million, beating analysts’ estimates of $162 million.
The company is also actively exploring opportunities in artificial intelligence (AI), while continuing to expand its non-PC business, such as smartphones, servers and information technology services.
Revenue for its service business unit rose 8.5% to $1.8 billion for the quarter.
Lenovo’s shares soared by 12% on Wednesday after it unveiled two new AI PCs, a new breed of computers configured to effectively run AI applications.
Morgan Stanley analysts said in a client note this week that Lenovo will likely be one of the main beneficiaries of the AI PC boom. While AI PCs now account for just less than 5% of the market this year, about 64% of new PCs will be AI PCs by 2028, they said.
As such, AI PCs can generate up to 53% of revenue by 2028 for Lenovo, the highest among all the PC manufacturers, compared with the current 2%, they added.
Lenovo's shares fell 0.18% on Thursday, ahead of the quarterly earnings release.

 



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.