Chip Giant AMD Says AI to Be ‘Mega-Trend’ for Computing World

 AMD Chief Executive Lisa Su makes a speech at National Yang Ming Chiao Tung University in Hsinchu, Taiwan July 20, 2023. (Reuters)
AMD Chief Executive Lisa Su makes a speech at National Yang Ming Chiao Tung University in Hsinchu, Taiwan July 20, 2023. (Reuters)
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Chip Giant AMD Says AI to Be ‘Mega-Trend’ for Computing World

 AMD Chief Executive Lisa Su makes a speech at National Yang Ming Chiao Tung University in Hsinchu, Taiwan July 20, 2023. (Reuters)
AMD Chief Executive Lisa Su makes a speech at National Yang Ming Chiao Tung University in Hsinchu, Taiwan July 20, 2023. (Reuters)

AI will be the "defining mega-trend" for the global computing industry, the head of chip giant AMD said Thursday in Taiwan, where the majority of the world's semiconductors powering the technology is produced.

California-based Advanced Micro Devices (AMD) is one of the world's largest chip suppliers -- rivalling giants Intel and Nvidia -- and their processors are used in everything from gaming consoles and laptops to massive servers.

In the past year, tech companies have shifted resources to developing chips that have the processing power for generative AI -- which churns out complex content in seconds -- after seeing the popularity of products such as ChatGPT.

"The innovation opportunities ahead of us are truly enormous and the computing industry is changing very fast," said AMD's CEO Lisa Su, in Taiwan to receive an honorary doctorate from a university in the city of Hsinchu.

"AI is really the defining mega-trend for the next 10 years," she said, adding that generative AI has reshaped how industry players think about tech's possibilities.

"Every product, every service, every business in the world will be impacted by AI, and the technology is actually evolving faster than anything than I've ever seen before," Su said in her speech to the university.

As a chip design foundry, AMD outsources the production of their microchip designs to Taiwan Semiconductor Manufacturing Company (TSMC), which is headquartered in Hsinchu.

The Taiwanese chipmaking giant controls half the world's output of the silicon wafers, which are used to power everything from drip coffee machines to cars and missiles.

Unlike the AMD chief, TSMC's chairman Mark Liu cautioned investors on pinning their expectations of a boom in chips due to generative AI.

"The short-term frenzy about AI demand definitely cannot be extrapolated for the long term," Liu told shareholders in a conference call Thursday -- held around the same time as the university ceremony Su attended.

"Neither can we predict for the near future, meaning next year, how the sudden demand will continue or flatten out."

TSMC reported a 23 percent drop in its second quarter net income to about $5.85 billion.

"Our second quarter business was impacted by the overall global economic conditions, which dampened the end market demand, and led to customers' ongoing inventory adjustment," said Wendell Huang, TSMC's VP and chief financial officer.

The company also announced that its long-awaited Arizona plant -- the first in the United States -- has met delays, due to "an insufficient amount of skilled workers", and the start of production will be pushed to 2025, Liu said.



KAUST Scientists Develop AI-Generated Data to Improve Environmental Disaster Tracking

King Abdullah University of Science and Technology (KAUST) logo
King Abdullah University of Science and Technology (KAUST) logo
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KAUST Scientists Develop AI-Generated Data to Improve Environmental Disaster Tracking

King Abdullah University of Science and Technology (KAUST) logo
King Abdullah University of Science and Technology (KAUST) logo

King Abdullah University of Science and Technology (KAUST) and SARsatX, a Saudi company specializing in Earth observation technologies, have developed computer-generated data to train deep learning models to predict oil spills.

According to KAUST, validating the use of synthetic data is crucial for monitoring environmental disasters, as early detection and rapid response can significantly reduce the risks of environmental damage.

Dean of the Biological and Environmental Science and Engineering Division at KAUST Dr. Matthew McCabe noted that one of the biggest challenges in environmental applications of artificial intelligence is the shortage of high-quality training data.

He explained that this challenge can be addressed by using deep learning to generate synthetic data from a very small sample of real data and then training predictive AI models on it.

This approach can significantly enhance efforts to protect the marine environment by enabling faster and more reliable monitoring of oil spills while reducing the logistical and environmental challenges associated with data collection.


Uber, Lyft to Test Baidu Robotaxis in UK from Next Year 

A sign of Baidu is pictured at the company's headquarters in Beijing, China March 16, 2023. (Reuters)
A sign of Baidu is pictured at the company's headquarters in Beijing, China March 16, 2023. (Reuters)
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Uber, Lyft to Test Baidu Robotaxis in UK from Next Year 

A sign of Baidu is pictured at the company's headquarters in Beijing, China March 16, 2023. (Reuters)
A sign of Baidu is pictured at the company's headquarters in Beijing, China March 16, 2023. (Reuters)

Uber Technologies and Lyft are teaming up with Chinese tech giant Baidu to try out driverless taxis in the UK next year, marking a major step in the global race to commercialize robotaxis.

It highlights how ride-hailing platforms are accelerating autonomous rollout through partnerships, positioning London as an early proving ground for large-scale robotaxi services ‌in Europe.

Lyft, meanwhile, plans ‌to deploy Baidu's ‌autonomous ⁠vehicles in Germany ‌and the UK under its platform, pending regulatory approval. Both companies have abandoned in-house development of autonomous vehicles and now rely on alliances to accelerate adoption.

The partnerships underscore how global robotaxi rollouts are gaining momentum. ⁠Alphabet's Waymo said in October it would start ‌tests in London this ‍month, while Baidu ‍and WeRide have launched operations in the ‍Middle East and Switzerland.

Robotaxis promise safer, greener and more cost-efficient rides, but profitability remains uncertain. Public companies like Pony.ai and WeRide are still loss-making, and analysts warn the economics of expensive fleets could pressure margins ⁠for platforms such as Uber and Lyft.

Analysts have said hybrid networks, mixing robotaxis with human drivers, may be the most viable model to manage demand peaks and pricing.

Lyft completed its $200 million acquisition of European taxi app FreeNow from BMW and Mercedes-Benz in July, marking its first major expansion beyond North America and ‌giving the US ride-hailing firm access to nine countries across Europe.


Italy Fines Apple Nearly 100m Euros over App Privacy Feature

An Apple logo hangs above the entrance to the Apple store on 5th Avenue in the Manhattan borough of New York City, July 21, 2015. REUTERS/Mike Segar/File Photo Purchase Licensing Rights
An Apple logo hangs above the entrance to the Apple store on 5th Avenue in the Manhattan borough of New York City, July 21, 2015. REUTERS/Mike Segar/File Photo Purchase Licensing Rights
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Italy Fines Apple Nearly 100m Euros over App Privacy Feature

An Apple logo hangs above the entrance to the Apple store on 5th Avenue in the Manhattan borough of New York City, July 21, 2015. REUTERS/Mike Segar/File Photo Purchase Licensing Rights
An Apple logo hangs above the entrance to the Apple store on 5th Avenue in the Manhattan borough of New York City, July 21, 2015. REUTERS/Mike Segar/File Photo Purchase Licensing Rights

Italy's competition authority said Monday it had fined US tech giant Apple 98 million euros ($115 million) for allegedly abusing its dominant position in the mobile app market.

According to AFP, the AGCM said in a statement that Apple had violated privacy regulations for third-party developers in a market where it "holds a super-dominant position through its App Store".

The body said its investigation had established the "restrictive nature" of the "privacy rules imposed by Apple... on third-party developers of apps distributed through the App Store".

The rules of Apple's App Tracking Transparency (ATT) "are imposed unilaterally and harm the interests of Apple's commercial partners", according to the AGCM statement.

French antitrust authorities earlier this year handed Apple a 150-million euro fine over its app tracking privacy feature.

Authorities elsewhere in Europe have also opened similar probes over ATT, which Apple promotes as a privacy safeguard.

The feature, introduced by Apple in 2021, requires apps to obtain user consent through a pop-up window before tracking their activity across other apps and websites.

If they decline, the app loses access to information on that user which enables ad targeting.

Critics have accused Apple of using the system to promote its own advertising services while restricting competitors.