Check out the inaugural episode of 0x20 Minutes of Deep Tech with Liquid Instruments engineer Jason Ball, PhD and The Electronics Reporter host Stuart Cording. Learn how the low-latency Moku Neural Network enables the deployment of real-time deep learning algorithms alongside a reconfigurable suite of test instruments, and delivers fast, flexible new ways to connect #AI to the physical world.
Liquid Instruments
测控仪器制造业
San Diego，California 4,934 位关注者
A modern approach to test and measurement
关于我们
Most test environments are unique and require customized configuration and careful optimization of multiple instruments, adding cost and time upfront and throughout the test cycle. Liquid Instruments’ reconfigurable Moku is the only test solution that is engineered and optimized for friction-free customization in both simple tests and complex multi-instrument environments. In hundreds of labs around the world, Moku has accelerated the timeline of crossing from idea to implementation by an order of magnitude, reducing the time and cost of advanced research and development. Because our reconfigurable Moku test solutions are engineered by a team of distinguished research scientists to be easy to use and versatile, they deliver efficiency gains in the most complex test scenarios today and meet your ongoing needs in the future. Experience Moku cost-free by requesting a demo today at liquidinstruments.com.
- 网站
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https://www.liquidinstruments.com
Liquid Instruments的外部链接
- 所属行业
- 测控仪器制造业
- 规模
- 51-200 人
- 总部
- San Diego，California
- 类型
- 私人持股
- 创立
- 2014
- 领域
- Test and Measurement Equipment、FPGAs、Phasemeters、Waveform Generators、Spectrum Analyzers、Oscilloscopes、Lock-in Amplifiers、Data Loggers、Bode Analyzers、PID Controllers、Engineering和Education
地点
Liquid Instruments员工
动态
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Microelectromechanical systems (#MEMS) require a wide range of tests to fully characterize and validate. With the right tools, you can accelerate MEMS integration and design while ensuring peak performance. Check out our new guide for a step-by-step walk-through of key MEMS tests: https://hubs.ly/Q03930Pb0
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Are you looking to integrate custom #FPGA code into your test setup? In this video, Liquid Instruments engineer Jason Ball, PhD shows you how to use Moku Cloud Compile to write and deploy your own VHDL code onto an FPGA-based Moku device, using a sample and hold function as an example. Check it out: https://hubs.ly/Q038PkSd0
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“Previously, I had to hand-write C++ code for data analysis. The way Moku packs and organizes the data makes this much more efficient.” Learn how one research team at the University of Chinese Academy of Sciences is using the Moku Time & Frequency Analyzer in photon counting applications to rapidly decode single-pixel imaging data and improve the cost-effectiveness and speed of low-intensity imaging.
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Meet Moku, an entirely new approach to test equipment engineered to get better over time. Moku delivers a reconfigurable suite of powerful instruments in one FPGA-based device to enable faster, more flexible testing — and it's easy to install new instruments and capabilities on demand as your experiments evolve. ??
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“Having a unit that’s quite small but also quite powerful is a nice thing for us to have. It’s a good value for the money.” ???? At the Australian Synchrotron, researchers must be able to access and control everything from the EPICS interface, an open-source project created through global collaboration between leading scientific facilities. While EPICS is well-known in the #physics community, many test instruments on the market do not have existing EPICS drivers. ?? Learn how researchers are using the flexibility of the Moku Python API to easily control a range of experiments from EPICS — enabling fast, synchronized data recording, from medical applications to nanotechnology research. Check it out: https://lnkd.in/ek9Te_Nm
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Did you know that with Moku:Pro, it's easy to deploy a custom boxcar averager in a pre-compiled, bitstream format? ?? Check out our guide for a walk-through on how get started fast — and learn new ways to leverage reconfigurable instrumentation to improve SNR measurements for low-duty-cycle signals.
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We got several audience questions during our recent webinar with Optica, where we explored the fundamental principles of the boxcar averager and its distinct advantages for processing low-duty-cycle signals. Read our blog for answers on how to deploy a premade boxcar averager using Moku Cloud Compile and ensure optimal data collection. Plus, find a link to Github for downloading the bitstream and other resources to get started fast. Didn't get to attend live or want to watch again on demand? Find a link to the full episode in the comments.??
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We're thrilled to announce that we've opened a new office at Melbourne Connect. Located in Melbourne’s innovation district, this thriving R&D hub lies at the intersection of academia and industry — exactly where the next generation of #testandmeasurement solutions will arise. With this move, we look forward to advancing #Australia’s #manufacturing sector, building connections with local industry leaders, and recruiting future talent in #artificialintelligence, #machinelearning, and advanced #engineering. Learn more: https://hubs.ly/Q037qDvL0
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Happening soon! Join Liquid Instruments engineer Jason Ball, PhD, and The Electronics Reporter host Stuart Cording in the inaugural episode of 0x20 Minutes of Deep Tech. Learn how the low-latency Moku Neural Network enables the deployment of real-time deep learning algorithms alongside a reconfigurable suite of test instruments, and delivers fast, flexible new ways to connect #AI to the physical world. ?? Today at 9 a.m. PST | 5 p.m. GMT Register now and join live here: https://hubs.ly/Q037lGMJ0
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