Baidu Create 2022 Outlines New Strategy for AI Development Based on Feedback-Driven Innovation

Baidu,  a leading AI company with strong internet foundation, hosted its annual flagship developer conference Baidu Create 2022. The event was held virtually in XiRang, Baidu’s metaverse app, as the company’s first conference co-hosted by humans and robots. In addition to featuring several key technology advancements, Baidu Create offered an in-depth exploration of Baidu’s research and analysis of future technology trends, covering a range of emerging technologies including artificial intelligence, autonomous driving, intelligent search, quantum computing and AI scientific computing.

In his speech “Innovation Drives Growth, Feedback Drives Innovation”, Robin Li, Co-founder, Chairman and CEO of Baidu, detailed Baidu’s strategy for driving healthy and sustainable growth. Li declared that deep learning algorithms have set the cornerstone for the fourth technological revolution. Major technology innovations powered by deep learning algorithms such as autonomous driving and intelligent water and electricity dispatching systems will emerge at scale, making a significant impact on society. Li emphasized the role of feedback of the market, users and customers in driving technology innovation. “Technology innovation is not something you can create behind closed doors. Rather, innovation comes from listening and improving based on real-world user feedback,” Li said. He cited Baidu’s Kunlun AI chip as an example, its state-of-art AI chip performance was made possible by the company’s decade-long accumulation in serving billions of user search requests every day.

Recommended AI News: Whalar Launches First-Of-Its-Kind Full-Funnel Measurement Solutions For the Creator Economy

Speaking at the main forum of Baidu Create, Haifeng Wang, CTO of Baidu, said that deep learning, as the core of AI development, is showing increasingly strong potential for generalized application, preparing AI to play a foundational role in industrial production through the “deep learning plus” model.

Wang noted that on the technological side, “deep learning plus knowledge” is set to power long-term AI breakthroughs. He cited Baidu’s AI art generation platform Wenxin Yige as an example of this dynamic already taking place. Powered by knowledge-enhanced cross-modal models, Wenxin Yige is able to accurately understand the semantics and mapping relationships in language and images, integrating learning from cross-modal knowledge such as language and vision. In developing the AI ecosystem, “deep learning plus” will also play a key role in linking upstream and downstream partners in a relationship built on chips, frameworks, models and applications. “Deep learning plus” will also have a major effect on the industrial application of AI, enabling thousands of industries and fields such as transportation, manufacturing, finance and medicine to unleash more potential.

Baidu Reveals Key AIGC Technologies, Bringing AI-Enhanced Creativity to the Next Level

At the conference, Baidu has introduced three talented AI “creators”: Big Model ERNIE 3.0 Zeus, Big Model ERNIE-ViLG 2.0 and new video content generation and editing technology. These new technologies each feature versatile content creation skills, allowing them to play the role of screenwriter, illustrator, editor or animator, greatly enhancing the potential of AI-generated content, or AIGC.

Hua Wu, Chairwoman of Baidu Technology Committee, described the potential of AIGC to stimulate artistic creativity and empower individual creators. “If you can utilize these content creation abilities to the greatest extent, then you can complete many important tasks of a film production. Coupled with virtual human actors designed on your own, you can become a truly ‘independent’ producer, a true ‘independent director’.”

Recommended AI News: Jellyvision Acquires Picwell to Power Highly Personalized Employee Benefits Experiences

Baidu Introduces UniBEV, Building Greater Synergy between Smart Roads and Autonomous Vehicles

Baidu also unveiled UniBEV, a new solution for intelligent transportation. As an integrated vehicle-road solution, UniBEV supports multi-sensor, multi-modal, multi-tasking and other end-to-end sensing capabilities, facilitating greater synergy between smart vehicles and smart roads. In addition, Baidu announced the industry’s first echo cancelling solution realized by software on the smartphone. It enables a smoother and more intelligent human-AI interaction for improved navigation.

XiRang MetaStack Enables Efficient Metaverse Space Construction in Only 40 Days

The event also witnessed the debut of XiRang MetaStack, the world’s first independent metaverse solution, which allows brands to build their own metaverse space from scratch in as fast as 40 days, compared to the average 6 to 12 months required on average. The solution offers a completely out of box development experience with 20 core AI capabilities covering speech, semantics, vision, audiovisual, blockchain and AIoT, increasing the average R&D efficiency by 300% at half the operation and maintenance cost.

Recommended AI News: Micron Delivers High-Performance Data Center SSD to Power the Most Demanding Workloads

[To share your insights with us, please write to sghosh@martechseries.com]