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SIEM Event Normalization Makes Raw Data Relevant to Both Humans and Machines

A security information and event management (SIEM) system is an indispensable tool for any security operations center (SOC). It collects events from devices in your network infrastructure such as ... read more

How To Prepare For a Security Information and Event Management Deployment

This maxim certainly applies to most large-scale IT projects, and doubly so for Security Information and Event Management (SIEM) projects ... As well as collecting and storing this raw log data, the ... read more

ORCA-SPOT: An Automatic Killer Whale Sound Detection Toolkit Using Deep Learning

Both models only differed in the number of noise samples included in the training set and the normalization ... into relevant and irrelevant signal parts. Researchers can concentrate on those sub-data ... read more

False Distinctions Between Hardware and Software Patents are Not the Answer

And from the perspective of an interface designer, one would expect to be able to protect an invention that takes raw data from human ... machines that “did not previously exist.” (Moore Op. at 14) ... read more

AccelOps Further Enhances Visibility, Control, and Efficiency for Data Centers and Cloud Service Providers

Organizations can purchase the SIEM (Security Information Event Management) module, the PAM (Performance and Availability Monitoring) module, or both as an "all-in-one" solution.About AccelOps ... read more

Unified Data Modeling for Relational and NoSQL Databases

... model is the key for data architecture to meet business requirements in both RDBMS and NoSQL databases. ACID (Atomicity, Consistency, Isolation, and Durability) of RDBMS has been and will always ... read more

Ultra-Low Power Key Phrase Detection at the Edge

As this technology becomes more commonplace, demand is building for technical solutions that increase the interaction between humans and machines ... data and the 1bit weights. In this case, ... read more

Heroes of Deep Learning: Andrew Ng interviews Ian Goodfellow from Google Brain

So I think that GANs are at an important ... machines as the building blocks, and they were very, very finicky. Over time, we switched to things like rectified linear units and batch normalization, ... read more

A methodology for the design of experiments in computational intelligence with multiple regression models

Experimental Design (ED) in Computational Intelligence (CI) is one of the most important aspects in ... in equality of conditions. Thus, normalization or standardization techniques are required to ... read more

A general and flexible method for signal extraction from single-cell RNA-seq data

In addition, the model makes a strong assumption ... acts as a global-scaling normalization factor, allowing the modeling of raw count data, with no need for prior normalization. The removal of batch ... read more

NIPS’17 highlights and trends overview

Yee Whye Teh’s keynote speech on “Bayesian Deep Learning and Deep Bayesian Learning” The majority of DL applications so far can be considered different flavours of perception: taking some raw input ... read more

LTO.Network: How Reducing Power Increases Utility

However, as with those two, I will be pointing out all concerns I have with the system as they become relevant ... an analog normalization of data. Now, it should be emphasized that these failings ... read more