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Radar trends to watch: September 2020

O'Reilly Media - Ideas

There is serious talk of a “ Deep Learning recession ” due, among other things, to a collapse in job postings. An excellent analysis of participation in machine learning: how it is used, and how it could be used to build fair systems and mitigate power imbalances. MIT Tech Review has a good explanation. New Infrastructure.

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Exploring AI solutions enhancing productivity and cost savings

Agile Engine

Plus, these tools streamline collaboration among development teams, providing consistent suggestions and reducing the time spent on code review and debugging. Sentiment Analysis Traditional methods leave businesses blind to true customer sentiment due to the bias inherent in human analysis as well as the limited capacity of manual operations.

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12 Impact of Artificial Intelligence on Mobile App Development

Xicom

Table Of Contents 1) Machine Learning in Mobile Apps 2) Predictive Analysis 3) Virtual Personal Assistants 4) Improved User Experience 5) Augmented Reality 6) Blockchain Technology 7) Facial Recognition 8) Internet of Things 9) Cloud Computing 10) Cybersecurity 11) Marketing and Advertisements 12) Big Data Q1: What is Artificial Intelligence?

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Kentik CEO Avi Freedman with PacketPushers on NPM & DDoS

Kentik

If the link is congested, then a basic NetFlow tool function allows you to double click on that, and you can see that the link is full because there’s tons of traffic due to the database servers syncing. That’s the alerting part of it, which we’ll talk about in a little bit when we talk about DDoS and our new alerting system.