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) …
If you make a purchase by clicking one of our links, we may earn a small share of the revenue. However, our picks and opinions are independent from USA Today's newsroom and any business incentives. I'm calling it now folks--smart displays are the next big thing in the smart home arena of products. The Echo Show 5 for example, Amazon's latest gadget to hit the scene, combines the benefits of their voice assistant, Alexa, with on-screen visuals, which quite literally means hours of entertainment without you having to lift a finger. Amazon just knocked $25 off the price of the Echo Show 5--now available for a mere $64.99.
When engineers first endeavored to teach computers to see, they took it for granted that computers would see like humans. The first proposals for computer vision in the 1960s were "clearly motivated by characteristics of human vision," said John Tsotsos, a computer scientist at York University. Things have changed a lot since then. Computer vision has grown from a pie-in-the-sky idea into a sprawling field. Computers can now outperform human beings in some vision tasks, like classifying pictures -- dog or wolf?
Automation is now carriers' top priority. Automation is necessary to operate 5G and needed to fully monetize new services enabled by NFV and SDN – required to scale for IoT and more. The market makers at the start of the Zero Touch journey and the future of Network & Service Management presented in Madrid at the second Zero Touch Automation Congress. Fresh approaches such as Artificial Intelligence and Machine Learning are going to revolutionize telecoms networking operations and the strategic shift is already underway, in this transformation of Network Operations, NFV Orchestration & Services Management to an automated future.
This repository contains the trained model and dataset used for Unsupervised Adversarial Training (UAT) from the paper Are Labels Required for Improving Adversarial Robustness? Our model is available via TF-Hub. The preferred method of running this script is through run.sh, which will set up a virtual environment, install the dependendencies, and run the evaluation script, which will print the adversarial accuracy of the model. Note this file is very large, and requires 227 GB of disc space. This is not an official Google product.
TensorFlow Extended (TFX) is a Google-production-scale machine learning platform based on TensorFlow. It provides a configuration framework to express ML pipelines consisting of TFX components. TFX pipelines can be orchestrated using Apache Airflow and Kubeflow Pipelines. Both the components themselves as well as the integrations with orchestration systems can be extended. TFX components interact with a ML Metadata backend that keeps a record of component runs, input and output artifacts, and runtime configuration.
Balancing user experience with strong transaction and login protection is a constant battle for financial institutions – one that can have tangible consequences for both bank and customer. Take, for example, User X. It's Cyber Monday, and User X wants to buy the latest smartphone on his favorite discount online store. The site has limited stock, so he logs in at 4am to ensure he'll be able to get a phone. He excitedly places the item in his cart, goes to check out, and clicks pay – only to receive a message that the purchase was flagged as suspicious and blocked.
While consumers across ASEAN are excited about 5G's promise of faster home broadband speeds and mobile internet connections, it is the technology's low network latency and power consumption that offers a variety of opportunities for businesses. Globe Telecom in the Philippines rolled out Southeast Asia's first 5G broadband service in select areas of the country in June, partnering with telecommunications giant Huawei to give the world's largest community of social media users a home broadband service that is now the fastest in ASEAN. About 20 times faster than 4G, everything from instant high-definition movie streaming to cloud gaming will be less than seconds away once 5G is commercially available across the rest of the region in the next few years. Businesses, meanwhile, can unlock increased value from Internet of Things (IoT) applications, artificial intelligence (AI), advanced robotics and a multitude of other uses. A recent report from consultancy firm A.T. Kearney predicted that this increased value will be worth around US$147 billion for ASEAN businesses by 2025 – with US$81 billion of that additional revenue gained through the growing use of AI in industries such as trade, transport and financial services.
India has commenced the project to map the country digitally with a resolution of 10cm via drones and disruptive technologies including AI and big data. The massive task was taken up by the Survey of India a few months ago. The Survey of India is a part of the Department of Science and Technology and has planned to complete the project in two years as stated by Prof. Ashutosh Sharma, Department's Secretary. He also revealed that the Survey of India has been equipped with the latest technologies like drones, AI, big data analytics, image processing, and continuously operating reference system. After the completion of the project, the data will be made available to citizens and Gram Panchayats/local bodies.
As a VP of Product Marketing, I lead a team that focuses on different product marketing activities at M-Files: product positioning, value proposition and customer communications. My team also employs subject-matter experts for different processes and industries. They work closely with product development, marketing and customer success teams to ensure that we address the specific customer needs for various industries and their respective regulations. We use and follow almost all marketing technologies from ABM to Sales Automation to analytics. Marketing organizations typically use M-Files for collaboration, data governance, digital asset management, content management, talent management, customer intelligence and workflow.