Haven Life is leveraging MassMutual's historical data to give instant life insurance approvals. Using AI and machine learning to derive new value from old data could become an enterprise staple.
Sourced through Scoop.it from: www.zdnet.com
nteract is a desktop application that allows you to develop rich documents that contain prose, executable code (in almost any language!), and images. Whether you’re a developer, data scientist, researcher, or journalist, nteract helps you write your next code-driven story. Source: nteract: write your next code-driven story.
Dash is a user interface library for creating analytical web applications. Those who use Python for data analysis, data exploration, visualization, modelling, instrument control, and reporting will find immediate use for Dash. Source: ???? Introducing Dash ???? – plotly – Medium
Security vendors are exploring machine learning in cybersecurity applications for identity management systems. Here's what you need to know about the trend.
Sourced through Scoop.it from: searchsecurity.techtarget.com
Machine learning may have enabled detection of malware using encrypted traffic, but some worry the technique could be modified for malicious use.
Sourced through Scoop.it from: searchsecurity.techtarget.com
Machine learning drives digital transformation, and across industries and business processes, this helps delivers data-driven predictions
Sourced through Scoop.it from: www.information-age.com
The field of machine learning and artificial intelligence is making rapid progress. Many people are starting to ask what a world with intelligent computers will look like. But what is the ratio of hype to real progress? What kinds of problems have been well solved by current machine learning techniques, which ones are close to being solved, and which ones remain exceptionally hard? There isn’t currently a good single place to find the state of the art on well-specified machine learning metrics, let alone the many problems in artificial intelligence that are still so hard that there are no good datasets and benchmarks to keep track of them yet. So we are trying to make one. Today, we’re launching the EFF AI Progress Measurement experiment, and encouraging machine learning researchers to give us feedback and contribute to the effort.
Sourced through Scoop.it from: www.eff.org
Machine learning (ML) in eight blogposts!? In our last post, let’s take a peek under the hood of ESET’s cybersecurity engine and its ML gears.
Sourced through Scoop.it from: www.welivesecurity.com
© 2025 • Science4Data