Left to Right -- Takuya Furuta, senior director (Asia Pacific marketing), Keysight global marketing, Sudhir Tangri, vice president & general manger (APAC sales), Keysight Technologies and Sudhir Singh ...

Award honors Keysight’s AI Device Testbed, built to validate AI-enabled devices in real-world 5G-Advanced conditions in the lab As AI becomes integral to next-generation wireless systems, the industry ...

Keysight Technologies forecasts rapid growth in AI infrastructure testing and verification through 2026 as deployments expand from chip-level to cluster-scale, Taiwan chairman and General Manager ...

Joint demonstration at MWC 2026 streamlines data collection, artificial intelligence and machine learning training, and benchmarking for AI-driven radio access network modules Keysight Technologies, ...

Keysight Technologies (KEYS) hit an all-time high of $301 (up 27% in a week) after a 9.6% earnings beat. Keysight’s Q2 guidance implies 30% revenue growth driven by AI infrastructure demand ...

Shares of Keysight Technologies (KEYS) jumped about 14% premarket on Tuesday after first quarter results and guidance surpassed estimates which saw largely positive reactions from analysts. Morgan ...

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CX software provider Genesys unveiled Genesys Cloud Agentic Virtual Agent, positioning it as the industry’s first agent built on LAMs. Enterprise customer experience softwares have increasingly leaned ...

Keysight Technologies and Point2 Technology teamed up to test and validate multiterabit interconnects for scale-up connectivity. The partnership sees Keysight’s high-speed digital test solutions used ...

Collaboration validates Point2 Technology’s innovative e-Tube™ multi-terabit interconnects using Keysight's high-speed digital test solutions, addressing critical power and bandwidth challenges in AI ...

Keysight Technologies has announced it is collaborating on the Airbus UpNext SpaceRAN demonstrator, stating that Europe’s ability to control how future 5G networks are built, tested and operated will ...

Artificial intelligence/Machine Learning-driven modeling reduces time-to-market for faster Design Technology Co-Optimization development and accelerates model parameter extraction for advanced nodes, ...