Pathology as it is practiced now is very subjective,

Applications such as spam filtering, economic forecasting, and Netflix recommendations are powered by algorithms that allow computers to learn from and make predictions based on vast collections of data. But even as machine learning has purged e-mail inboxes of Vi@gra, the technology has been slower to infiltrate chemistry. As described in this collection of stories, however, the gap is starting to fill. Some researchers are . . .

CBS station KFMB put in calls to the Navy and Air Force Monday night about the striking launch off the coast of Los Angeles, which was easily visible from the coast, but the military has said nothing about the launch. KFMB showed video of the apparent missile to former U.S. Ambassador to NATO Robert Ellsworth, who is also a former Deputy Secretary of Defense, to get his thoughts. It takes people\'s breath away,\" said Ellsworth, calling the projectile, \"a big missile\". Magnificent images were captured by the KCBS news helicopter in L.A. around sunset Monday evening. The location of the missile was about 35 miles out to sea, west of L.A. and north of Catalina Island.

Artificial intelligence (AI) can be understood as a science, engineering and deployment of machines, which perform tasks with intelligence as similar to humans. Since its inception 60 years ago, AI has observed significant growth in recent years. Initially, AI was considered as topic for academicians, though in recent years with development of various technologies, AI has turned into reality and is influencing many lives and businesses. Additionally, evolution of various other supplementary technologies such as cloud computing, machine learning and cognitive computing are collectively paving the growth of the market for AI. According to Mr. Sachin Garg - Associate Director at MarketsandMarkets who tracks the global semiconductor market, the global artificial intelligence chipset market is expected to be worth USD 16.06 Billion by 2022, growing at a CAGR of 62.9% between 2016 and 2022.

NVIDIA (NASDAQ:NVDA), the leader in the graphics processing industry, has been growing like gangbusters. Its performance over the last several years has been nothing short of stunning, and investors will rightly want to know if this growth can continue. Below, we look at several key financial metrics to provide insight into the company's future potential. Revenue gains were the largest driver of results. In its recent earnings release, NVIDIA announced record quarterly revenue of $2.17 billion, which grew 55% over the prior-year quarter, as well as record full-year revenue of $6.91 billion, up 38% over the prior period.

When Worlds Collide, the 1951 Sci Fi film, painted a rather gloomy vision of the future of mankind on earth. However, the prospects for blended reality, in which the physical and digital worlds collide, couldn't be more promising. By fusing the virtual and real worlds, the possibilities are endless. By eliminating filters and limitations, blended reality enables expression at the speed of thought to improve experiences and inspire new technology. Using healthcare as an example, blended reality has significant implications for more personalized care, prevention and treatment by converging human biology, real-world context and technology advancements.

Salesforce has announced Service Cloud Einstein to deliver artificial intelligence solutions to customer service agents. Salesforce pushed Einstein, its AI platform, heavily at Dreamforce last year. It has a huge development focus on the product. This effort has culminated in the release of Einstein for Service cloud. It delivers artificial intelligence, arguably machine learning, to the service industry.

The insideBIGDATA Guide to Deep Learning & Artificial Intelligence is a useful new resource directed toward enterprise thought leaders who wish to gain strategic insights into this exciting area of technology. In this guide, we take a high-level view of AI and deep learning in terms of how it's being used and what technological advances have made it possible. We also explain the difference between AI, machine learning and deep learning, and examine the intersection of AI and HPC. We also present the results of a recent insideBIGDATA survey to see how well these new technologies are being received. Finally, we take a look at a number of high-profile use case examples showing the effective use of AI in a variety of problem domains. With all the quickly evolving nomenclature in the industry today, it's important to be able to differentiate between AI, machine learning and deep learning.

If you're intrigued by IBM's Watson AI as a service, but reluctant to trust IBM with your data, Big Blue has a compromise. Now the bad news: It'll only be available to z System / z/OS mainframe users ... for now. It's a collection of popular frameworks -- in particular Apache SparkML, TensorFlow, and H2O -- packaged with bindings to common languages used in the trade (Python, Java, Scala), and with support for "any transactional data type." IBM is pushing it as a pipeline for building, managing, and running machine learning models through visual tools for each step of the process and RESTful APIs for deployment and management. Even as the number of frameworks for machine learning mushrooms, developers still have to perform a lot of heavy labor to create end-to-end production pipelines for training and working with models.

Last year, Huawei leapfrogged a couple of fellow Chinese hardware companies to secure its spot as the third largest smartphone maker worldwide. As the company takes aim at the number two spot, it's apparently working to differentiate itself even more from the competition by developing more proprietary tech, adding to a list of components that already includes its own in-house chips. According to a new report from Bloomberg, a smart assistant is the next step. The company is said to be hard at work on a Siri/Alexa/Google Assistant competitor, employing a team of more than 100 people tasked with its creation in Shenzhen. If true, the company would join Samsung in a growing list of Android handset makers opting not to go with Google's assistant – though the Galaxy maker sped up the process a bit with its recent acquisition of Viv Labs.