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Popular News
Daily News
Total : 11,049 ( 12/1105 Pages)
Innovation Hub – Lab 3 Biorobotics
by MOUSER - 2015-03-09 16:50 - 4,292 views
Innovation Hub – Lab 2 Soft Robotics
by MOUSER - 2015-03-09 16:49 - 4,345 views
Innovation Hub – Lab 1 Rovers
by MOUSER - 2015-03-09 16:49 - 3,613 views
Innovation Hub – Lab 4 Field Robotics
by MOUSER - 2015-03-09 16:48 - 3,487 views
Innovation Spotlight – Grant visits Carnegie Mellon University
by MOUSER - 2015-03-09 16:48 - 3,013 views
Grant Imahara visits Carnegie Mellon University, the largest university affiliated robotics program. Learn about the innovative projects in planetary robotics, soft robotics, and field robotics. Also, meet the team behind Baymax, the robot from Big Hero 6.
From EW 2015 show, New STM32 L4 Series
by STMicroelectronics - 2015-03-09 16:46 - 3,960 views
Find out more information: http://www.st.com/stm32l4 Meet ST’s latest ultra low-power MCU, the STM32 L4 Series, which sets new benchmarks for ULP efficiency while shattering performance limitations.
From EW 2015 show - STM32 F7: the accelerated mechanisms of a smart architecture
by STMicroelectronics - 2015-03-09 16:45 - 3,228 views
Find out more information: http://www.st.com/stm32f7 and http://www.arm.com Discover why the STM32 F7 is a perfect fit for the development Internet of Things devices and applications when combined with the ARM mbed OS.
FPGA で実現できる最新オートモーティブ・ソリューション・デモ
by Altera - 2015-03-09 16:43 - 2,605 views
アルテラのオートモーティブ・ソリューションの詳細: http://www.altera.co.jp/automotive 自動車の電子化と電動化を支える半導体デバイスとして、FPGAの利用が拡大していま­す。 このデモでは、「FPGA で実現できる最新ソ リューション」をテーマに、先進運転支援システム(ADAS)、イ­ンフォテイメント、EV 等、車載機器システムを開発する上で今すぐ活用でき る最新ソリューションをデモを交え­て紹介します。
(Japanese) Microchip Amp-titudes 2: 入力バイアスおよ
by Microchip - 2015-03-09 16:42 - 4,307 views
今回は入力バイアス電流と入力オフセット電流についてお話します。 入力バイアス電流は、アンプの2つの入力端子へ流れ込む電流の平均です。 入力オフセット電流は、アンプの2つの入力端子へ流れ込む電流の差です。 信号コンディショニングのエラーバジェットを求める際は両方とも検討する必要がありま­す。
Object Detection and Recognition with Neural Networks
by Altera - 2015-03-09 16:41 - 3,652 views
See how our partner iAbra demonstrates machine learning with convolutional neural networks on FPGAs using OpenCL to accelerate object detection and recognition scenarios.

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