If you are looking for an answer to the question What is Artificial Intelligence? and you only have a minute, then here's the definition the Association for the Advancement of Artificial Intelligence offers on its home page: "the scientific understanding of the mechanisms underlying thought and intelligent behavior and their embodiment in machines."
However, if you are fortunate enough to have more than a minute, then please get ready to embark upon an exciting journey exploring AI (but beware, it could last a lifetime) …
The $199 Kria KV260 starter kit comes ready with inputs for mutiple cameras, image processing logic, and softare for object detection, to get people started easily on a computer vision product. In the hotly contested field of "edge" artificial intelligence, systems and chip makers are coming up with ways to get their customers to market without months or years of machine learning development. The latest contestant in that regard is programmable-logic maker Xilinx, which on Tuesday unveiled what is planned to be a family of "system-on-module," or SOM, products, chips on boards with pre-built applications for tasks such as object detection. The announcement features a starter kit for $199 containing all the guts of a camera system to detect people and things in the world. Kria, as the product line is called, are Xilinx's first production-ready SOMs.
CloudBees, the enterprise software delivery company, provides the industry's leading DevOps technology platform. CloudBees enables developers to focus on what they do best: Build stuff that matters while providing peace of mind to management with powerful risk mitigation, compliance, and governance tools. Used by many of the Fortune 100, CloudBees is helping thousands of companies harness the power of continuous everything and gets them on the fastest path from a great idea, to great software, to amazing customer experiences, to being a business that changes lives. Backed by Matrix Partners, Lightspeed Venture Partners, Verizon Ventures, Delta-v Capital, Golub Capital, and Unusual Ventures, CloudBees was founded in 2010 by former JBoss CTO Sacha Labourey and an elite team of continuous integration, continuous delivery, and DevOps professionals. We have a culture of movers and shakers and are leading the way for everyone else with a vision to transform the industry.
At its annual user conference this week, Redis Labs is disclosing the roadmap for Redis 7.0, the database pillar of Redis Enterprise, which will become generally available later in the year. The common thread among the new features and enhancements include expansion of multimodel database support; converged capabilities for managing and deploying AI/machine learning models in-database; and new features supporting stronger database consistency. The context for all this is that Redis is the most popular in-memory database, and one of the top ten ranked databases overall, according to db-Engines. Redis claims that in the AWS cloud, it is the most frequently used data platform -- at 28% of customers, outranking MySQL, PostgreSQL, DynamoDB, MongoDB, and others. And, as measured by monitoring provider DataDog, Redis is the most frequented data platform image running in Kubernetes StatefulSets.
Before COVID-19 struck India, Rajesh Agrawal and his wife, Meenakshi, would often get food from restaurants delivered to their home. A weekly treat of chicken tikka masala or lamb biryani would be a break from the vegetarian dishes they cook at home. It's been nearly a year since the Agrawals stopped ordering in food from their favorite restaurants. "There's no way to tell how clean and hygienic the restaurant kitchens are really," Mr. Agrawal says. "Sure, the government has released processes for restaurants during the pandemic. But we can't be certain that they're following those, can we?"
These days, companies are using cloud services to receive and process the data they gather from sensors, cameras, and services. However, the amount of data is getting so massive that sending them and managing them is becoming increasingly expansive. This is where Edge AI comes in, a combination of Edge Computing and Artificial Intelligence. Edge AI is a system of AI-equipped chips that are on board multiple devices. These devices can be installed and set up much closer to the sources of data. Although these chips process with less processing power and maybe slower action, they can provide invaluable services in terms of receiving and processing the data.
The self-driving technology industry is in a strange state right now. A number of companies have been pouring millions of dollars into self-driving technology for years, and many of them have prototype self-driving vehicles that seem to work. Yet I know of only one company--Waymo--that has launched a fully driverless commercial taxi service. And I only know of one company--Nuro--that's running a driverless commercial delivery service on public roads. You'd expect these companies to be capitalizing on their early leads by expanding rapidly, but neither seems to be doing that.
Ocado is investing £10 million in Oxford-based start-up Oxbotica, which develops autonomy software for vehicles. Online retailer Ocado is exploring the possibility of having robots packing, transporting and delivering groceries all the way to customers' kitchens, with a new partnership designed to bring new levels of automation to the warehouse. The British e-tailer is investing £10 million ($14 million) in Oxford-based start-up Oxbotica, which develops autonomy software for vehicles, with the objective of testing different ways of integrating the technology with Ocado's hardware. Among the projects envisioned by the two firms feature autonomous vehicles travelling inside Ocado's warehouses to move orders around the buildings and surrounding yard areas, but also driverless delivery vans and even "kerb-to-kitchen" robots to facilitate what is known as last-mile logistics – the final steps between a customer's doorstep and the vehicle carrying their order. Automating these processes could cut costs significantly.
You can test this hypothesis in a most unlikely place to roll out a new technology: the Indian countryside. The setting is perhaps not as odd as it seems, with about 5% to 10% of the country's farmers not repaying their tractor loans on time. The explanations for tardiness range from failed crops to medical emergencies and strategic defaults in anticipation of state-mandated debt waivers, a regular feature of the political economy. But delinquency often stems from more mundane reasons: Borrowers forget their due dates, or fail to withdraw cash to pay the nonbank financiers who provide the bulk of loans for farm equipment purchases. Like in most emerging markets, these last-mile hurdles pose a frustratingly complex challenge to India's creditors.
Artificial intelligence, the concept that existed only in Hollywood fantasy a couple of decades back is now a fast-evolving reality. At its core, AI seeks to transform information into intelligent, automated action. Among the many industries that are adopting artificial intelligence into their routine, business stands out by almost exponentially relying on the technology. With the increasingly vast amount of data available today and the constantly evolving preferences and complexity of customers, businesses can no longer believe in traditional business models to drive growth. These radical pain points have opened up the realm of AI adoption to accelerate business growth through actionable insights generated from customer data.
When it comes to maintaining safety online, there are endless things that cross your mind. You need to keep everything secured as a single breach can lead to blunders. Now when it comes to handling your customers' safety and security online, businessmen rely on big data and artificial intelligence blindly. Big data is not a new technology when it comes to advancements in the industry. The latest evolutions help the customers enjoy online safety so that your privacy is not hindered and your clients can rely on you blindly.