Synopsys Design Software Uses AI to Make Chips More Power Efficient

A man walks through the Synopsys booth during the Black Hat information security conference in Las Vegas, Nevada, US, July 26, 2017. (Reuters)
A man walks through the Synopsys booth during the Black Hat information security conference in Las Vegas, Nevada, US, July 26, 2017. (Reuters)
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Synopsys Design Software Uses AI to Make Chips More Power Efficient

A man walks through the Synopsys booth during the Black Hat information security conference in Las Vegas, Nevada, US, July 26, 2017. (Reuters)
A man walks through the Synopsys booth during the Black Hat information security conference in Las Vegas, Nevada, US, July 26, 2017. (Reuters)

Synopsys Inc said on Monday one of its customers used artificial intelligence software to get a 26% gain in the power efficiency of a computer chip, a leap that usually has to wait for a new generation of chip manufacturing technology.

Modern computing chips are made of billions of transistors and wires laid down on a piece of silicon the size of a fingernail. Precisely how all the elements are placed on the chip, along with other design and architecture choices, has a major impact on how well they perform and how much they cost to make.

Major chip firms like Intel Corp or Nvidia Corp can spend two years and hundreds of millions of dollars to perfect their designs. Synopsys is one of the major makers of software used to do that work.

The company has started weaving artificial intelligence called DSO.ai into its flagship chip design suite to help chip designers get better results, faster, while trying to balance trade-offs on speed, power efficiency and cost to meet their business goals. Samsung Electronics Co Ltd and Renesas Electronics Corp have begun using it, with Samsung last year saying it had cut a chip design step that would have taken months down to weeks.

On Monday, Synopsys said the AI system can now take into account what software will eventually run on a chip to squeeze out more gains. A major cloud computing provider that it did not name got a 26% gain in power efficiency versus the best solution found by human designers.

In the past, gains like those came from a new generation of chip manufacturing technology that would come every two years rather than purely from the design. The new software can squeeze much more out of existing chip factories, said Aart de Geus, chief executive of Synopsys.

“It is significant because design is now actually more of the enabler than ever before,” de Geus told Reuters in an interview.



China Approves First Two Level-3 Autonomous Driving Cars from State-owned Automakers

People pass by the entrance to Volkswagen (China) Technology Company, a 3 billion euros ($3.5 billion) R&D center in Hefei in eastern China's Anhui province, on Feb. 25, 2025. (AP Photo/Ken Moritsugu)
People pass by the entrance to Volkswagen (China) Technology Company, a 3 billion euros ($3.5 billion) R&D center in Hefei in eastern China's Anhui province, on Feb. 25, 2025. (AP Photo/Ken Moritsugu)
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China Approves First Two Level-3 Autonomous Driving Cars from State-owned Automakers

People pass by the entrance to Volkswagen (China) Technology Company, a 3 billion euros ($3.5 billion) R&D center in Hefei in eastern China's Anhui province, on Feb. 25, 2025. (AP Photo/Ken Moritsugu)
People pass by the entrance to Volkswagen (China) Technology Company, a 3 billion euros ($3.5 billion) R&D center in Hefei in eastern China's Anhui province, on Feb. 25, 2025. (AP Photo/Ken Moritsugu)

China's industry regulator on Monday approved two Chinese cars with level-3 autonomous driving capabilities, marking the first time such vehicles have been cleared by the national regulator as legitimate products ready for mass adoption.

The Ministry of Industry and Information Technology approved the two electric sedans from state-owned automakers Changan Auto and BAIC Motor in its latest automobile product entry category, said Reuters.

The two models are allowed to activate conditional autonomous driving in designated areas of Chongqing and Beijing with speed limits of 50km/h and 80km/h, respectively, the ministry said in a statement. The automakers will conduct trial operation with the cars on the specific roads via their ride-hailing units, it added.

The auto industry has defined five levels of autonomous driving, from cruise control at level one to fully self-driving cars at level five, and level three allows drivers to take their eyes and hands off the road in certain situations.

The move underscored China's ambition to lead the development and adoption of autonomous driving, a technology poised to disrupt the auto industry globally. Last year, China lined up nine automakers for public tests to advance the adoption of self-driving cars.

Chinese regulators earlier this year had sharpened scrutiny of the assisted driving technologies following an accident involving a Xiaomi SU7 sedan in March. That incident killed three occupants when their car crashed seconds after the driver took control from the assisted-driving system.

But government officials are pressing Chinese automakers to rapidly deploy even more advanced systems. In their level-3 push, Chinese regulators also are upping the regulatory ante by holding automakers and parts suppliers liable if their systems fail and cause an accident.

Autonomous driving developers such as Pony AI and WeRide have been testing their level-4 cars with licenses granted by local governments across China.

Tesla's Full Self-Driving, a level-2 driver assistance system, has been partially approved in China since February and falls short of its capabilities in the United States.


Elm Company Named Strategic Partner for International Data and AI Conference

Elm Company Named Strategic Partner for International Data and AI Conference
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Elm Company Named Strategic Partner for International Data and AI Conference

Elm Company Named Strategic Partner for International Data and AI Conference

The Saudi Data and Artificial Intelligence Authority (SDAIA) announced a strategic partnership with Elm Company for the International Conference on Data and AI Capacity Building (ICAN 2026), enhancing collaboration to empower the data and artificial intelligence ecosystem and promote innovation in education and human capacity development.

This partnership comes as part of preparations for ICAN 2026, organized by SDAIA from January 28 to 29 at King Saud University in Riyadh, with the participation of a select group of specialists and experts from around the world, SPA reported.

The step represents a qualitative addition that contributes to enriching the conference’s knowledge content and expanding partnerships with leading national entities.

Elm Company brings extensive experience in designing digital solutions and building technical capabilities, reinforcing its role as a strategic partner in supporting the conference. It contributes by developing training tracks and digital empowerment programs, participating in the technology exhibition, and presenting qualitative initiatives that help empower national competencies in the fields of data and artificial intelligence.


Foxconn to Invest $510 Million in Kaohsiung Headquarters in Taiwan

Construction is scheduled to start in 2027, with completion targeted for 2033. Reuters
Construction is scheduled to start in 2027, with completion targeted for 2033. Reuters
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Foxconn to Invest $510 Million in Kaohsiung Headquarters in Taiwan

Construction is scheduled to start in 2027, with completion targeted for 2033. Reuters
Construction is scheduled to start in 2027, with completion targeted for 2033. Reuters

Foxconn, the world’s largest contract electronics maker, said on Friday it will invest T$15.9 billion ($509.94 million) to build its Kaohsiung headquarters in southern Taiwan.

That would include a mixed-use commercial and office building and a residential tower, it said. Construction is scheduled to start in 2027, with completion targeted for 2033.

Foxconn said the headquarters will serve as an important hub linking its operations across southern Taiwan, and once completed will house its smart-city team, software R&D teams, battery-cell R&D teams, EV technology development center and AI application software teams.

The Kaohsiung city government said Foxconn’s investments in the city have totaled T$25 billion ($801.8 million) over the past three years.