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) …
Highly technical agriculturalists are hoisting their pitchforks, demanding that we embrace their ideas to reshape our unsustainable food system. Whether our reality is a food desert or a farm-to-table paradise, it's time we start paying attention: In order to keep pace with a global population that's expected to surpass 9 billion by 2050, projections show food production would have to increase by 70 percent between 2005/07 and 2050.
In the moment, it sounds absurd to think that we would retire any of those hot themes. In the tech sector we love our buzzwords. Yet, there comes a time when every technology concept matures and moves from being new, exciting, and the sweetheart of marketers into a new phase called: Just a way that we do things.
Learn to connect AWS instance with your laptop / desktop for faster computation! Do you struggle with working on big data (large data sets) on your laptop? I recently tried working on a 10 GB image recognition data set. But, due to the limited computational power of my laptop, I couldn't proceed further. I was determined to solve this problem, and thankfully, in few hours, I managed to set up a 24GB machine on AWS for FREE and got improved results. I got it for FREE because I used the trial version with limited features, just to see how fast could it work.
Back at Google I/O, CEO Sundar Pichai outlined the company's vision as an "AI first" company, with a new focus on contextual information, machine learning, and using intelligent technology to improve customer experience. The launch of the Pixel 2 and 2 XL, the latest batch of Google Home products, and the Google Clips offer a glimpse into what this long-term strategic shift could mean. We'll get to Google's latest smartphones in a minute, but there's much more to explore about the company's latest strategy.
Hewlett Packard Enterprise (HPE) has announced the launch of upgraded high-density compute and storage systems to encourage adoption of high-performance computing (HPC) and artificial intelligence (AI) among enterprises. The HPE Apollo 2000 Gen10 is a multi-server platform for enterprises looking to support HPC and deep learning applications but have limited datacentre space. The platform supports Nvidia Tesla V100 GPU accelerators to enable deep learning training and inference for use cases such as real-time video analytics for public safety. Enterprises deploying the HPE Apollo 2000 Gen10 system can start small with a single 2U shared infrastructure and scale out up to 80 HPE ProLiant Gen10 servers in a 42U rack. "HPC and AI play an increasingly important role in digital transformation, enabling organisations to leverage modeling, simulation, and deep learning to drive business innovation in areas like financial trading, computer-aided design and engineering, video surveillance, and text analytics," HPE said in an announcement.
Someplace in America, a safe distance of several feet from the shoulders of a major highway, drone cameras are flying in parallel with a fleet of tanker trucks. The next time you encounter a fuel truck or a milk truck, take a moment to see if there are any buzzing camera drones in its vicinity. An introduction to cloud computing from IaaS and PaaS to hybrid, public and private cloud. They've been commissioned to take thermal pictures of these trucks, and transmit them live, in real-time, to a server. If one of these trucks is leaking or isn't well-sealed, or if its contents are imbalanced and unsafe, an operations center is notified, and the driver may be told to pull over.
Fasten your harnesses, because the era of cloud computing's giant data centers is about to be rear-ended by the age of self-driving cars. Here's the problem: When a self-driving car has to make snap decisions, it needs answers fast. Even slight delays in updating road and weather conditions could mean longer travel times or dangerous errors. But those smart vehicles of the near-future don't quite have the huge computing power to process the data necessary to avoid collisions, chat with nearby vehicles about optimizing traffic flow, and find the best routes that avoid gridlocked or washed-out roads. The logical source of that power lies in the massive server farms where hundreds of thousands of processors can churn out solutions.
In today's healthcare industry, machine learning makes the difference between delivering better patient care and empowering the next medical breakthrough or losing out to the competition. In this fast-paced global economy, enhanced speed, productivity, and intelligence are more important than ever to success. Machines are now being leveraged to augment human capabilities in order to drive business growth or accelerate innovation. Businesses need leading-edge IT to achieve superhuman levels of performance. Today's enterprises and organizations are deploying high performance computing (HPC) technologies to reach the new frontier of IT intelligence.