Intel Spars with EU Regulators Over $421.4 Million Antitrust Fine 

Intel's logo is pictured during preparations at the CeBit computer fair, which will open its doors to the public on March 20, at the fairground in Hanover, Germany, March 19, 2017. (Reuters)
Intel's logo is pictured during preparations at the CeBit computer fair, which will open its doors to the public on March 20, at the fairground in Hanover, Germany, March 19, 2017. (Reuters)
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Intel Spars with EU Regulators Over $421.4 Million Antitrust Fine 

Intel's logo is pictured during preparations at the CeBit computer fair, which will open its doors to the public on March 20, at the fairground in Hanover, Germany, March 19, 2017. (Reuters)
Intel's logo is pictured during preparations at the CeBit computer fair, which will open its doors to the public on March 20, at the fairground in Hanover, Germany, March 19, 2017. (Reuters)

US chipmaker Intel on Friday sparred with EU antitrust regulators over a 376 million euro ($421.4 million) fine levied nearly two years ago for excluding rivals from the market, arguing that it was disproportionate and unfair.

The case dates to 2009 when the European Commission slapped a then-record 1.06 billion euro fine on Intel for blocking rival Advanced Micro Devices.

The tech giant managed to convince the General Court, Europe's second-highest, to scrap the penalty in 2022.

Judges however agreed with one part of the Commission's 2009 decision, prompting the EU competition watchdog to re-impose a 376 million euro fine for payments made by Intel to HP, Acer and Lenovo to halt or delay rival products between November 2002 and December 2006.

Such practices are known as naked restrictions and are frowned on by antitrust regulators. Intel then took its case back to the General Court, asking for the new EU decision and penalty to be annulled.

Intel's lawyer said the EU competition enforcer had not taken into account the limited scope of the violations related to HP, Acer and Lenovo.

"The Commission cannot sustain a finding that there was an overall strategy to foreclose competitors from the entire x86 chips market. These were narrow, tactical moves," Daniel Beard told the panel of five judges.

"The naked restrictions can't be treated as in effect of equal weight to each of the pricing practices which were overturned. Nor do they have the same sort of cumulative effect or strategic weight. They, on their own, don't sustain an overall, market-wide strategy finding," he said.

Beard said the Commission had imposed "a wholly disproportionate and unfair" fine.

The EU watchdog rejected Intel's arguments.

"The Commission correctly applied the finding guidelines, and when in doubt, opted in Intel's favor," its lawyer Pedro Caro de Sousa said.

"The fine is clearly not disproportionate to the seriousness of Intel's conduct, amounting to 1% of its turnover on the last year of the infringement, and about 0.5% of its turnover today," he said.

Both Intel and the Commission called on the court to resolve the issue by setting the size of the fine. A ruling is expected in the coming months.

The case is 09:30 T-1129/23 Intel Corporation v Commission.



SDAIA, Oxford University Partner on AI Engineering Camp to Empower Saudi Graduates

SDAIA, Oxford University Partner on AI Engineering Camp to Empower Saudi Graduates
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SDAIA, Oxford University Partner on AI Engineering Camp to Empower Saudi Graduates

SDAIA, Oxford University Partner on AI Engineering Camp to Empower Saudi Graduates

The Saudi Data and Artificial Intelligence Authority (SDAIA) has launched a new artificial intelligence application engineering camp in collaboration with Oxford University. The initiative aims to train Saudi and international graduates, equipping them with advanced skills in the rapidly evolving field of AI.

The intensive eight-week program is open to bachelor's and master's degree holders in artificial intelligence, computer science, and related disciplines.

Overseen by international experts, the curriculum will cover advanced AI sciences, computer vision, deep learning, and generative models, SPA reported.

Participants will gain hands-on experience in designing and developing AI models using Python, TensorFlow, and PyTorch, and will work on advanced projects in natural language processing and computer vision.

A key focus of the camp is on practical application. Graduates will learn to use industry-standard tools like YOLO and Hugging Face to create and deploy real-world technical solutions.

The program adopts a flexible two-phase educational model, beginning with distance learning before transitioning to an in-person phase at Oxford University.

This camp forms part of SDAIA's commitment to developing national capabilities and fostering partnerships with leading global universities. By equipping Saudi talent with modern AI tools and technologies, the program supports the Kingdom's digital transformation goals and the targets of Saudi Vision 2030.