Leading global technology distributor and solutions provider Avnet Asia will host the "Avnet AI Cloud Exhibition", showcasing innovative technology, applications and solutions in Artificial Intelligence (AI) and machine learning together with its suppliers and partners. With the ability to quickly design, develop and deploy solutions, Avnet can meet the needs of a variety of application scenarios to accelerate the industrialization of artificial intelligence. During this period, Avnet will also hold the "Avnet 2021 Artificial Intelligence Cloud Conference" on June 29, 2021. Joined by developers, engineers, and decision makers in the AI field, the summit will feature cutting-edge technology trends in artificial intelligence and machine learning, and in-depth discussions on the development, future prospects and blueprints for AI to encourage and accelerate innovation. KS Lim, senior director of supplier management at Avnet Asia said, "MarketsandMarkets forecasts the global artificial intelligence (AI) market size to grow to over USD 300 billion by 2026, and the market in Asia Pacific is anticipated to grow at the highest CAGR during the forecast period. As the world's leading technology distributor and solution provider, Avnet has a comprehensive ecosystem that provides customers with end-to-end artificial intelligence and machine learning solutions, reducing the cost and complexity of product development to enable application scenarios. We will continue to work hand in hand with our suppliers and partners to further contribute to the development and maturity of the entire AI ecosystem."

The company will also hold the Avnet 2021 Artificial Intelligence Cloud Conference on 29 June, 2021. Joined by developers, engineers, and decision makers in the AI field, the summit will feature cutting-edge technology trends in artificial intelligence and machine learning, and in-depth discussions on the development, future prospects and blueprints for AI to encourage and accelerate innovation. "MarketsandMarkets forecasts the global artificial intelligence market size to grow to over USD$300 billion by 2026, and the market in Asia Pacific is anticipated to grow at the highest CAGR during the forecast period," says KS Lim, senior director of supplier management at Avnet Asia. "As the world's leading technology distributor and solution provider, Avnet has a comprehensive ecosystem that provides customers with end-to-end artificial intelligence and machine learning solutions, reducing the cost and complexity of product development to enable application scenarios," he says. "We will continue to work hand in hand with our suppliers and partners to further contribute to the development and maturity of the entire AI ecosystem."

Jointly demonstrate innovative AI technologies and applications at the Avnet AI Cloud Exhibition · AI camera: A smart AI camera utilizing a neural network …

Global technology solutions provider Avnet Asia and AI software innovator Mipsology announced that Avnet will promote and resell Mipsology's Zebra software platform to its APAC customer base. Zebra removes the technical complexity of FPGAs, making them plug-and-play with fast performance. This agreement extends Avnet's IoT ecosystem, bringing Mipsology's deep learning inference acceleration solution to its Asia customers. Companies looking to deploy AI can now seamlessly migrate to new FPGA-based acceleration technologies with no code change and enjoy a longer lifespan for software and hardware than they could with GPU-based solutions. Avnet's first product incorporating the solution will be the Zebra-powered Xilinx Alveo data center accelerator cards. The range of offerings is expected to expand in the future.

The Internet of Things (IoT) has been around for a very long time. In fact, the technology far predates the term. Some historians will tell you that the IoT moniker has been with us since the late 1990s, but we know that connecting our "things" started well before that. If you break IoT down to what it really means, it's simply connecting the appropriate devices to the Internet to accomplish the required task. The ubiquity of the Internet and the proliferation of transceiver technology has greatly simplified that task.

Looking back at some of 2018's most prominent and exciting AI projects forecasts promising advances in the coming years. With a wide range of startups and government projects boosting visibility and funding for various machine learning operations, there's plenty to be excited about for both business and personal AI solutions. Of course, there's also the occasional misfire to keep expectations realistic and learning from these examples remains key in keeping future developments healthy. Here's what to learn from 2018 artificial intelligence projects. At a glance, DeepMind's exhibition that showed off its ability to topple some of the strongest chess and shogi AI may not seem like a major accomplishment, but the ease of relating AI's progress by comparing it to chess masters makes for a good bridge between the highly scientifically literate and the average person.

Avnet last week unveiled a beta version of Ask Avnet, an automated virtual assistant that combines artificial intelligence with on-demand access to industry experts. Ask Avnet targets "engineers, designers, hobbyists, makers and purchasing specialists across the electronics supply chain -- which includes the product manufacturing chain," said Kevin Yapp, senior vice president for digital transformation at Avnet. Ask Avnet gathers information from the company's Web-based ecosystem -- including Avnet.com, element14.com Ask Avnet leverages AI to help anticipate a user's next move and provide the best answer, rather than listing all possible answers. Ask Avnet "aims to shorten the amount of time it takes for Avnet customers to access information," Yapp told TechNewsWorld.

Watson, IBM's AI supercomputer, now has the ability to investigate security events and create new services for building cognitive security operation centres. And it now has the capability to allow customers and analysts to interact with Watson through voice and chat regarding cyber security concerns. According to IBM, Watson can now help security analysts parse thousands of natural language research reports that have never before been accessible to modern security tools. For the past year, Watson has been trained on the language of cyber security with over one million security documents, and has been tested with over 40 clients and channel partners including the Ireland based partner Smarttech and Avnet. IBM claims it is the industry's first augmented intelligence technology designed to power cognitive security operations centers (SOCs).

When Avnet pulled together its predictions for what 2017 would hold machine to machine learning was one of the areas the distributor expected to see some growth. The channel player viewed advance machine learning as the next stage in the Internet of Things story as users looked to try and exploit the intelligence that could be gained from connected devices. "Leveraging machine learning and cognitive computing with connected smart devices allows humans to interact with technology and their surroundings in ways which will drive innovation forward at an unprecedented pace," said Marcus Adae, vice president strategic suppliers at Avnet Technology Solutions EMEA. "As the gap narrows between the physical and digital world, the door opens wider for companies to explore new and innovative products and services both in the commercial and consumer sectors, which will ultimately enrich the way we interact with our world day to day," he added. Avnet is expecting machine learning to have more of an impact in the tech sector because it has the prospect of uncovering hidden insights and ushering in new business models.

With that in mind, I'd like to share one way that Avnet has been using machine learning in the enterprise this year, with highly compelling results. In October 2016, the internet experienced a massive denial of service attack that affected more than 80 major websites and cloud service providers from Amazon to Twitter. A bit of malware that hijacked hundreds of thousands of unsecure Internet of Things devices to overwhelm specific targets. In the cybersecurity arms race, malicious hackers are increasingly looking to machines to strengthen their attacks. So larger organizations like Avnet are also tapping into the power of machines--in this case, machine learning--to strengthen our defenses.