Category Archives: Network design

Network design and optimization software in Europe and Latin America

Operational excellence and reduced network complexity In a world increasingly connected to 5G, we need to rethink improving network performance and delivering the best customer experience. While operators are leveraging network performance to stay ahead of the competition, even though they launched 5G early, they are still under great pressure to reduce operating expenses (OPEX) […]

Watch: Rethinking the Design and Optimization of the Vehicle Logistics Network in North America | Item

Through Automotive logistics2020-09-28T17: 00: 00 OEMs like Nissan and Volkswagen are working with logistics specialists like Jack Cooper and Inform to ensure recovery amid low vehicle inventory, Covid-19 uncertainty and driver shortage, while examining how to use technology to optimize long-term networks. Check out this lively discussion from Automotive … Log in or register to […]

Clearfield Extends Network Design Flexibility With Addition of Yourx Versatile Terminal

MINNEAPOLIS – (COMMERCIAL THREAD) –Clearfield, Inc. (NASDAQ: CLFD), the specialist in fiber management for communications service providers, today announced an addition to its YOURx terminal product line. In line with Clearfield’s commitment to design flexible fiber termination and distribution systems, the new YOURx multipurpose terminal (MPT) is an Outdoor Installation Enclosure (OSP) that configures to […]

Intel Offers New Approach to Optical Neural Network Design

The use of optical neural networks in AI is an attractive idea that has long stimulated important work. The potential benefits include low power, high speed, and the ability to handle greater complexity. However, achieving this ideal is difficult, especially because manufacturing imperfections can degrade accuracy. Intel proposed a directional approach to mitigate this problem […]

How network design influences network performance

Building a network for your business requires a lot of planning and logistics up front. It’s not just about installing devices, cables and connections as you go; each zone of your network must be projected beforehand. Companies that do not plan their network risk building an infrastructure that becomes too complex to manage. Smart grid […]

Automation of Neural Network Design Shifts Into High Speed ​​| MIT News

A new area of ​​artificial intelligence is using algorithms to automatically design machine learning systems called neural networks, which are more precise and efficient than those developed by human engineers. But this technique known as neural architecture research (NAS) is costly in terms of computation time. A state-of-the-art NAS algorithm recently developed by Google to […]

Automation of Neural Network Design Shifts Into High Speed ​​| MIT News

A new area of ​​artificial intelligence is using algorithms to automatically design machine learning systems called neural networks, which are more precise and efficient than those developed by human engineers. But this technique known as neural architecture research (NAS) is costly in terms of computation time. A state-of-the-art NAS algorithm recently developed by Google to […]

NVMe / TCP Needs Good TCP Network Design – Blocks and Files

Poorly designed NVMe / TCP networks can be clogged with NVMe traffic and not provide the low latency that NVMe / TCP is designed to provide in the first place. SNIA has a one hour presentation Explaining how NVMe / TCP Storage Networking works, how it relates to other NVMe-oF technologies, and potential issues. NVMe […]

Rethink network design when there is no more server

There is still a lot of confusion about what a network should look like when there is no longer a need for a server. Historically, businesses bought a server when they found themselves with the need to share and standardize. But if you’ve upgraded to an Office / Microsoft 365 suite and have Windows 10 […]

Radical New Neural Network Design Could Overcome Big AI Challenges

David Duvenaud was collaborating on a project involving medical data when he encountered a major AI gap. An AI researcher at the University of Toronto, he wanted to create a deep learning model that would predict a patient’s health over time. But the data in medical records is a bit messy: Throughout your life, you […]