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Professional social networking platform, Pulse, recently announced the successful integration of the DeepSeek-R1 model. This move aims to further optimize candidate-job matching efficiency and comprehensively elevate the intelligence level of the recruitment process. Reportedly, Pulse began deploying the model in early February of this year and has completed relevant testing. Currently, AI technology deeply empowers Pulse's overall recruitment workflow, achieving significant efficiency improvements in several key areas, including job signal capture, application filtering, automatic follow-up questions, and intelligent greetings. In the talent assessment phase, the system can dynamically track user behavior and analyze it.

Pindrop has launched Pulse Inspect, a web-based audio and video file detection system that accurately identifies AI-generated speech with 99% accuracy, as part of the Pindrop Pulse product suite. The tool's unique capability lies in its ability to recognize audio generated by various AI tools or models, and it is currently in preview, designed to serve organizations aiming to prevent audio forgery risks on a large scale. With the rise of text-generating AI systems, audio forgery has become prevalent, making Pulse Inspect essential.

Tencent Cloud recently launched an upgraded version of the Xing Mai Network 2.0, aiming to enhance the efficiency of large-scale model training. In the previous version, the synchronization communication time for the computation results of large models accounted for over 50% of the total, resulting in low efficiency. The new version of Xing Mai Network 2.0 has been upgraded in several aspects:1. Supports networking of up to 100,000 cards in a single cluster, doubling the scale, with a 60% improv

Amazon has launched an AI-based automatic vehicle inspection technology that can check the condition of delivery vehicles. This technology can identify issues such as tire deformation and chassis wear to ensure driver safety. The technology can track detected vehicle problems to provide insights for fleet management. The new technology will enhance the reliability of Amazon's delivery service, ensuring packages are delivered on time. This technology helps protect the safety of nearly 280,000 delivery drivers working for Amazon.