Next-gen networking tech, sometimes powered by light instead of electricity, is emerging as a critical piece of AI infrastructure. The new era of Silicon Valley runs on networking--and not the kind you find on LinkedIn. As the tech industry funnels billions into AI data centers, chip makers both big and small are ramping up innovation around the technology that connects chips to other chips, and server racks to other server racks. Networking technology has been around since the dawn of the computer, critically connecting mainframes so they can share data. In the world of semiconductors, networking plays a part at almost every level of the stack--from the interconnect between transistors on the chip itself, to the external connections made between boxes or racks of chips.

For the first time in the world, South Korean researchers have developed and demonstrated a smart networking platform that uses edge computing technology converged with artificial intelligence. The platform can recognize faces and situations that take place around edge nodes to take appropriate actions and request emergency service or police support. Edge computing is a network technology that uses nodes located at the edge of a network as local servers that will primarily process data and communicate with the main server if only necessary. The edge computing method greatly reduces the computing burden put on the central server and reduces data traffic between the end-user and the main server. The data transfer speed increases as devices communicate with nodes that are located physically closer.

Data storage architects are entrusted with a great deal of responsibility. It is important to be able to manage huge volumes of data without issue. Books are a fantastic source for experts wanting to learn about a certain sector of technology, whether hardback or digital, and data storage architects are no exception. Here is a list of the top ten books for data storage architects. These books are prepared by writers with expertise and renown in data storage and are designed for both beginners and specialists. This is one of the best books for data storage architects.

Artificial intelligence is changing the Internet in ways we never expected. Savvy technology evangelists recognize the importance of AI in the 21st Century, especially as Internet technology continues to evolve. AI is especially important in shaping the future of networking. However, there are other applications of AI for networking, which include greater efficiency and better customer service. Networking technologies have been in existence for many decades with a singular purpose – the improvement of data transmission and circulation through the use of information systems.

Thanks to recent advancements in electronics and the programmed logic that provides gadgets with an incipient ability to make decisions and take actions, humans are starting to have meaningful interactions with machines. We are on the cusp of a robotics Golden Age, which I believe will increase our standard of living to the degree that mass production, electricity and transistors did for our ancestors. The term "smart manufacturing" refers to business processes that feature machines in decision making roles. Artificial intelligence (AI) provides the decisions, and machine learning (ML) enables an ongoing refinement of those decisions based on zettabytes of data that the internet of things (IoT) makes available to a global network of devices. Improvements in computer networking technologies are key to realizing autonomy among collaborating devices, cooperative productivity featuring little to no direction from human operators.

As corporate bandwidth requirements continue to surge exponentially with every passing year, it becomes clear that bandwidth demands as well as the business requirements of the modern digital workspace are setting the stage for the implementation of new, advanced technologies. These technologies give rise to fresh possibilities and further fuel the demand for adding intelligent systems to our daily lives and greater reliance on tech support, both in the home and workfronts. With software trends emerging regularly in the IT scene, digital services and people are becoming further intertwined to characterize everything that's new the world of network technology this year. These recent advancements are more than likely to disrupt existing operations and foster an era of digitization and intelligence throughout the business sector. Let's see what's getting hot now in networking technology -- and how they will be sizzling by the end of the year.

Agricultural businesses usually have a massive number of trackable assets (plants, livestock, and machinery), often operate in wide geographic areas in which these assets are located, and are subject to operational factors often beyond their control, such as the amount of sunlight or rainfall they receive, or temperature fluctuations. As such, agriculture is ripe for the adoption of new technologies to help monitor and manage assets on a granular level, and everything from Internet of Things (IoT) sensors, robots, and drones are being used by farms around the globe. The U.S. Department of Agriculture's National Institute of Food and Agriculture notes that the farms of today are avid users of agriculture technologies such as robots, temperature and moisture sensors, aerial imaging, and GPS technology, which are more precise and efficient than humans alone, and allow for safer, more efficient, and more profitable operations. One example of how technology enables new farming techniques is the use of robotic harvesting on indoor farms, which today account for a tiny fraction of the 900 million acres of traditional farmland in the U.S. However, these indoor farms are well suited to the growth of vegetables such as tomatoes, lettuce, and other leafy greens, are highly sustainable, generally feature an average yield per acre more than 10 times higher than that of outdoor farms, and represent a continuation of the agricultural sector's trend toward incorporating precision agriculture techniques to improve yields and become more sustainable.

At last fall's NetEvents press/analyst/vendor confab, I called out three vendors as'sexy.' This year, the three vendors that stand out are'smart.' Not that smart isn't sexy, of course – but in this case, I mean smart in the context of Artificial Intelligence (AI). In fact, it's not simply these vendors' use of AI that makes them smart, but rather, the innovation they have brought to the AI story – either in the application of AI or how they support their customers' AI initiatives. 'Smart' apps are becoming the norm Mellanox is a network hardware manufacturer that produces a number of adapters, switches, processors, cables, and other gear for wiring up data centers.