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Updated Sep 23, 2026
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AI Call Centers Transforming with Compliance Challenges Ahead

The AI outbound call industry is undergoing structural differentiation, with its market size surpassing 12 billion yuan and an annual growth rate of 38% as of 2026. Driven by large model technology, the proportion of outbound solutions utilizing these models has increased from under 15% in 2024 to o...

leaderobot.com CN News

MIT's JARVIS Challenge Explores AI's Role in Jet Engine Engineering

The JARVIS Challenge, held at MIT, investigated the potential of AI in designing and building jet engines. Over four weeks, undergraduate teams utilized AI tools to create a small gas turbine engine, aiming for a thrust of 50-100 pounds. Professor Zolti Spakovszky emphasized that while AI can enhanc...

MITNews Academic & Research

FluxVLA Engine Addresses Challenges in Deploying Embodied AI Models

In recent years, numerous new models such as π0, GR00T, and SmolVLA have emerged, frequently changing the state-of-the-art in simulation benchmarks. However, deploying these models onto real robots presents significant challenges, including data format conversions and the need to rewrite engineering...

leaderobot.com CN News

Investment in Physical AI Reaches $48 Billion Amid Data Challenges

As of October 8, 2023, global investments in robotics and Physical AI have approached $48 billion, equivalent to a third of Boeing's market value. This surge in funding raises concerns about the effectiveness of data generated by robots in real-world scenarios, as the necessary interactive data rema...

leaderobot.com CN News

New IEEE Program Addresses AI Chip Design Challenges and Principles

IEEE Educational Activities has launched a new program focused on AI processor architecture and design principles, responding to the growing complexity of AI hardware. The program aims to equip engineers with the necessary skills to navigate the challenges posed by edge AI, including resource constr...

IEEESpectrumAI Academic & Research

Addressing AI Security as an Engineering Challenge Across the Agent Stack

AI security is increasingly recognized as an engineering challenge that necessitates defined security requirements and enforceable controls. As AI capabilities expand, the industry must enhance security engineering, improve access to defensive tools, and expedite the sharing of effective practices....

NvidiaNews Company News
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