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TFM: upgrade your workshop cutting performance

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  TFM : the ultimate bridge saw for professional workshops   Designed for workshops that require maximum strength, precision , and reliability , the TFM bridge saw is ideal for processing stone and ceramic slabs , including large-format and jumbo slabs , ensuring accurate and efficient cutting even on thick and hard materials .   Its robust construction, combined with motorized movements and advanced control options, ensures high productivity and consistent cutting accuracy , even in demanding applications.     Flexible and user-friendly: X axis: 3100 mm or 3700mm; Motorized head feed with variable speed in both directions; Motorized cutting depth adjustment with motor reducer; Manual head tilt for precise 45° angled cuts. Request more information         Accurate and sturdy: Heavy-duty steel frame , sandblasted and ceramic-coated for maximum durability; Galvanized steel rails worktable;  Blade diameter : 300-400mm or 400-625mm; P...

Inside Edge February 2026: Innovators Day + MWC 2026

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  Innovators Day Webinar Series: Final Live Session + Full On-Demand Access Join the final live session of the Innovators Day Webinar Series, The Era of FPGA Acceleration, on Wednesday, February 18, 2026 at 11:00 AM PST. Viktor K. Prasanna, Charles Lee Powell Chair in Engineering and Professor of Computer Science at the University of Southern California, will share a forward-looking perspective on FPGA-based acceleration for data science, AI, and heterogeneous systems. Learn why algorithm-architecture co-design matters and what’s next for platforms combining CPUs, FPGAs, GPUs, and coherent memory. The session also features partner demos from Xiphera, Flapmax, and Mistral on Agilex devices, followed by a live Q&A. All previous sessions are available on-demand. 👉 Save Your Spot for the Final Session & Watch the Rest On-Demand » ...

Last chance to register: Add intelligence to your MEMS design

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          Webinar invitation     Sensing the future with ST MEMS Sensors Thursday, February 26, 2026 ► 2:00 pm EST     There’s still time to register for our upcoming webinar! Discover how ST’s latest MEMS devices go beyond data collection — embedding Machine Learning Core (MLC) and ISPU technology directly at the sensor level to reduce MCU load, lower power consumption, and extend battery life. In this session, you'll see how to: Leverage dual accelerometer architectures for both precision motion tracking and Hi-G impact detection Implement edge AI directly within ST motion sensors Use AlgoBuilder within MEMS Studio to collect data and build classification algorithms in minutes Design with ...

Explore Bluetooth Channel Sounding on the FRDM-MCXW72 Dev Board | Design with Us

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