AI News, submitted by WebAI artificial intelligence
- On 14. december 2019
- By Read More
FortiSandbox: Zero-day Threat Protection
This test helps emphasize the importance in the automation of the advanced threat response cycle of prevent-detect-mitigate across a number of threat vectors including web, email, and endpoint.
To help organizations assess the effectiveness of these new offerings, ICSA Labs, an independent division of Verizon (author or the annual Data Breach Investigations Report or DBIR), recently introduced a new independent, Advanced Threat Defense certification, and Email certification.
In the NSS Breach Detection System 2017 test, newly introduced FortiSandbox 2000E blocked 100% of advanced malware delivered over these two vectors and 99% overall offered at the lowest TCO, earning the NSS Labs “Recommended” rating.
- On 19. juni 2021
Implement P Controller Solution - Artificial Intelligence for Robotics
This video is part of an online course, Intro to Artificial Intelligence. Check out the course here:
DJANGO WEBAPP USING ARTIFICIAL INTELLIGENCE (SENTIMENT ANALYSIS)
Sentiment Analysis integrated within Django webapp along with face detection.
Deploy TensorFlow Estimator API ML Model Using Flask API
In this project we're going to deploy, using a flask API, the TensorFlow Estimator API breast cancer machine learning model we created in a previous video.
Art's vision for voiceDNA™, speech synthesis and recognition, and IoT
As I think about how every aspect of life is being disrupted by Artificial Intelligence and virtualization, voice technologies is one of the most exciting and ...
Appian World 2017: Creating the Next Generation of Smart Apps with Artificial Intelligence
Jason Sims, Product Manager, psHealth Jorge Sanchez, Director - Product Strategy, Appian Artificial Intelligence is here. It is no longer about stories in books or ...
song recognition prediction research by using features extraction
songs are digitally recognized by acoustic fingerprints and it's corresponding searching method, our goal was to minimize the amount of time needed to ...
Building Custom AI Models on Azure using TensorFlow and Keras : Build 2018
Learn how to simplify your Machine Learning workflow by using the experimentation, model management, and deployment services from AzureML.
Serverless Deep Learning with Python
Speaker: Alizishaan Khatri Do you marvel at the idea of production-grade Deep Learning that can scale infinitely in nearly constant time? Using an NLP ...