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Link to Best Practices for Deploying and Scaling Industrial AI

Best Practices for Deploying and Scaling Industrial AI

Artificial Intelligence (AI) is transforming industrial operations, helping organizations optimize workflows, reduce downtime, and enhance productivity. Different industry verticals leverage AI in unique ways.

Link to The Center for Adaptive Edge Intelligence

The Center for Adaptive Edge Intelligence

Adaptive edge intelligence brings real-time decision-making to the point of data creation, whether from sensors, machines, or cameras.

Link to The Value of Vehicle Electrification

The Value of Vehicle Electrification

Electric vehicles (EVs) present automakers with many design, engineering, and manufactu ring challenges.

Link to Accelerating Manufacturing Digital Transformation with Industrial Connectivity and IoT

Accelerating Manufacturing Digital Transformation with Industrial Connectivity and IoT

Digital transformation is empowering industrial organizations to deliver sustainable innovation, disruption-proof products and services, and continuous operational improvement.

Link to Smart Manufacturing for Automotive

Smart Manufacturing for Automotive

Leading a transportation revolution in autonomous, electric, shared mobility and connectivity with the next generation of design and development tools.

Link to Center for Data Pipeline Automation

Center for Data Pipeline Automation

As businesses become data-driven and rely more heavily on analytics to operate, getting high-quality, trusted data to the right data user at the right time is essential.

Link to Center for Automated Integration

Center for Automated Integration

The goal of automated integration is to enable applications and systems that were built separately to easily share data and work together, resulting in new capabilities and efficiencies that cut costs, uncover insights, and much more.

Link to Continuous Intelligence: Insights

Continuous Intelligence: Insights

Digital transformation requires continuous intelligence (CI). Today’s digital businesses are leveraging this new category of software which includes real-time analytics and insights from a single, cloud-native platform across multiple use cases to speed decision-making, and drive world-class customer experiences.
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Artificial intelligence technologies

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GlobalData: Baidu Underscores China’s AI Momentum

GlobalData: Baidu Underscores China’s AI Momentum

Chinese search giant Baidu announced earlier this month the Kunlun processor, a CPU designed specifically for artificial intelligence (AI) tasks.

Written By

Jul 24, 2018

Chinese search giant Baidu announced earlier this month the Kunlun processor, a CPU designed specifically for artificial intelligence (AI) tasks. The announcement came without much fanfare – Google, Nvidia, Intel, and others have released AI-processors – but GlobalData Rena Bhattacharyya sees it as proof of the country’s momentum.

“Well-established players such as IBM, Microsoft, Google, and Amazon are fine-tuning their AI platforms to make it easier and faster for customers to incorporate a wide range of AI technologies,” said Bhattacharyya. “Although already an ambitious player in China, Baidu had not managed to establish itself as a major force in the AI space until now. The Kunlun chip has the potential to change that.”

See also: Baidu Leverages AI for a Competitive Edge in Coming Cloud Wars

Kunlun is 30 times faster than Baidu’s previous deep learning field-programmable gate array chips. Baidu is casting a wide net on its use cases. Currently, the chip can be deployed in data centers or on a network’s edge, but in the future, it could make its way into autonomous vehicles or drones.

“Baidu does not market heavily to other regions and will have a tough time competing with the well-established players. Nonetheless, the release of the new chipset underscores the overall momentum behind AI in China, as well as the determination of Chinese players to establish themselves as global leaders in this emerging area,” Bhattacharyya added.

The Chinese government wants to be the AI powerhouse by 2030 and the government is investing a lot of energy to ensure that the most sophisticated technology is made in the home country. The big three – Alibaba, Tencent, and Baidu – are all heavily invested in AI, machine learning, and other automation programs.

David Curry

David is a technology writer with several years experience covering all aspects of IoT, from technology to networks to security.

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