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) …
FREMONT, CA: Inspired by the human brain, today, neuromorphic chips are used in various industries. Neuromorphic chips show the emerging capabilities of artificial intelligence by successfully simulating the neural structure of the human brain. By encoding and suttling data in the series of electric busts, neuromorphic chips work like biological brains by developing its neural networks and combating processor issues. Neuromorphic chips offer potential commercial applications, which include power-efficient supercomputers, low-power sensors, self-learning robots, and more. The advanced technology empowers IT service providers by offering next-generation processing chips that are significantly faster than the available ones.
You have to have a certain level of fearlessness to compete in the crowded world of tech start-ups. The industry is filled with high-risk, high-stakes entrepreneurs dreaming of birthing the next unicorn. Showing them how it's done is robot process automation software provider UiPath Inc. After its initial seed funding in 2015, UiPath became a unicorn with a $1.1 billion valuation in early 2018. That's when things started to go crazy.
Robotic process automation, or RPA, promises to increase efficiency and improve work rates at reduced cost to the enterprise. In this article, we've assembled eight of the top RPA tools currently on the market. Of course, there are considerations to bear in mind before implementing this emerging technology. Robotic process automation (RPA) is an attempt at streamlining enterprise operations and reducing costs by automating mundane or repetitive business tasks through the application of technology. This technology input is governed by business logic and the structured use of data.
Hewlett Packard Enterprise Tuesday unveiled a new version of its Aruba Central network management platform outfitted with artificial intelligence-based analytics. "This is a breakthrough with artificial intelligence-based analytics being integrated into Aruba Central for the first time," said Hewlett Packard Enterprise Vice President Dr. Tom Bradicich, HPE Fellow and global head of IoT and Edge Center of Excellence and Labs. "The impact this is going to have on customers is tremendous because these analytics are no longer on a separate tool, program or screen." The new Aruba Central capabilities for the first time allows partners to proactively optimize an SD-WAN rollout based on the AI based analytics from Aruba Central. Aruba Central now includes branch management capabilities with a new SD-WAN Orchestrator that makes it easier for partners to deploy what HPE calls a "large scale edge infrastructure connecting thousands of branch locations with multiple data centers."
If you remember the days of cassette tapes, floppy disks and flip phones, then we don't need to tell you how quickly technology is moving lately. Now it seems we're running headlong into the era of artificial intelligence. Yes, smart computers capable of learning and adapting to solve complex problems. We're not quite to HAL yet, but it seems technology is getting there. And with these new technologies comes a new vocabulary.
You may have heard one or a combination of these terms, as these technologies are starting to play a natural part in our everyday personal lives. Say your best friend texts you about a concert happening later in the evening and your phone offers an auto-reply option like, "I'm in!" That's an example of natural language processing. And on the way to that concert, Waze gives you the optimal route to avoid traffic and get you there safe-and-sound, that's machine learning. And finally, you love the wine the venue serves, and you take out your phone to take a picture of the label, which provides you with the exact brand, grapes, and cost. You got it, computer vision!
Unreal Engine is a powerful game development engine that provides rich functionalities to create 2D and 3D games. Developers have the opportunity to build cross-platform mobile and desktop games from scratch. This book will show you how to apply artificial intelligence (AI) techniques to your Unreal project using blueprints as your scripting language. You will start with an introduction to AI, and learn how it is applied to gaming. Then you'll jump right in and create a simple AI bot and apply basic behaviors to allow it to move randomly.
New technologies such as artificial intelligence (AI) and robotics are transforming the workplace. The World Economic Forum's "Future of Jobs" report found 35% of the core skills required in the workforce will change between 2015 and 2020. As CEO of Deloitte Consulting LLC, Dan Helfrich sees firsthand the effects of digital transformation across a wide range of industries. He and his team work with companies every day on strategies to leverage the benefits of these new technologies while avoiding the pitfalls. At Salesforce, we empower teams to work as one to understand, anticipate, and respond to customer needs, so we talked to Helfrich about the future of work, the likely impact on workers, what it means for recruitment and training,and what business leaders can do to help their employees become valued members of the workforce of the future.
This article directs you to a recent webinar that VMware produced on the topic of executing distributed machine learning with TensorFlow and Horovod running on a set of VMs on multiple vSphere host servers. Many machine learning problems are tackled using a single host server today (with a collection of VMs on that host). However, when your ML model or data grows too large for one host to handle, or your GPU power happens to be dispersed across several physical host servers/VMs, then distribution is the mechanism used to tackle that scenario. The VMware webinar introduces the concepts of machine learning in general first. It then gives a short description of Horovod for distributed training and explains the importance of low latency networking between the nodes in the distributed model, based here on Mellanox RDMA over Converged Ethernet (RoCE) technology.
According to Salesforce, there are three main adoption hurdles for AI in business: identifying a viable use case and having data to support it; addressing change within employee workflows and embracing new technology; and trusting whether the AI is correct and aligns with company values. To address those issues, Salesforce recently launched Einstein's Guide to AI Use Cases, an interactive website aimed at helping organizations interested in Salesforce AI identify the use case that best fits a user's specific industry. Users are asked what group best represents their departments, which key performance indicators (KPIs) matter most to their businesses, which use cases positively affect those KPIs and what other companies have been successful with that use case. Once a user has chosen a use case, the site provides a description and a "What You'll Need" section, which advertises the best Salesforce AI product for that use case. Users can also see an example of a customer using that technology.