A Comparative Roundup: Artificial Intelligence vs. Machine Learning vs. Deep Learning
A 1969 McKinsey article claimed that computers were so dumb that they were not capable of making any decisions. In fact they said, it was human intelligence that drives the dumb machine. Alas, this claim has become a bit of a “joke” over the years, as the modern computers are gradually replacing skilled practitioners in […]
Read More →How Autonomous Vehicles Will Benefit from AI, Machine Learning
by Angela Guess Nathan Eddy reports in InformationWeek, “Artificial intelligence and machine learning technology are burgeoning spaces in the tech industry, and a new report from analytics firm IHS indicates AI developers are increasingly focused on the autonomous vehicle space. AI systems, which continuously learn from experience by their ability to discern and recognize their […]
Read More →NSA Starting to Target IoT Devices for Data Collection
by Angela Guess Anthony Spadafora reports in BetaNews, “The Internet of Things (IoT) may be the US National Security Agency’s next potential target for spying and collecting data according to a comment made by its deputy director at a recent military technology conference. During the conference, which was held in Washington DC on June 10, […]
Read More →Apple’s Siri Play in the Artificial Intelligence Battles
by Angela Guess Tom Simonite reports in the MIT Technology Review, “On Monday Apple showed off a string of new iPhone features powered by recent advances in artificial intelligence—many of them aping ones already launched by rival Google. But Apple’s announcements of features like facial recognition or software that knows what’s in your photos, made […]
Read More →Exabeam Adds Ransomware Detection Capabilities to its Security Intelligence Platform
by Angela Guess According to a new article out of the company, “Exabeam, the leader in user and entity behavior analytics (UEBA) for security, today announced Exabeam Analytics for Ransomware, a new application designed for early detection of ransomware, one of the most pressing security threats in 2016. With this new application, Exabeam can provide […]
Read More →Hadoop Overview: A Big Data Toolkit
Big Data isn’t new. Forbes traces the origins back to the “information explosion” concept first identified in 1941. The challenge has been to develop practical methods for dealing with the 3Vs: Volume, Variety, and Velocity. Without tools to support and simplify the manipulation and analysis of large data sets, the ability to use that data […]
Read More →American Diabetes Association and IBM Watson Health Join Forces
by Angela Guess A recent article out of the company reports, “The American Diabetes Association and IBM Watson Health today announced a long-term collaboration to bring together the cognitive computing power of Watson and the Association’s vast repository of clinical and research data. The organizations aim to build a first-of-its-kind diabetes advisor for patients and […]
Read More →Improving Clinical Insights with Machine Learning
by Angela Guess Mark Hardy recently wrote in Health Data Management, “Understanding and managing unwarranted clinical variation is a significant and costly challenge in today’s value-based health economy. Every patient is unique, so variation is a natural element in most healthcare delivery. But improving patient outcomes, minimizing medical errors and reducing costs is difficult when […]
Read More →Webinar: Sense and Sensors – From Perception to Personality
To view just the slides from this presentation, click HERE>> About the Webinar Business and public-sector entities use individual and aggregated data to understand customer/constituent wants and needs. This can range from basic satisfaction survey data to analyzing movement in physical spaces and tracking shopping cart habits online. There is no shortage of data to […]
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