Microsoft carried out a study titled 'Adversarial Machine Learning - Industry Perspectives' to better understand ML systems security.
Artificial intelligence systems take inputs in the form of visuals, audios, texts, etc. As a result, filtering, handling, and detecting malicious inputs and behaviours have become more complicated. Cybersecurity is one of the top priorities of companies worldwide. The increase in the number of AI Security papers from just 617 in 2018 to over 1500 in 2020 (an increase of almost 143% as per an Adversa report) is a testament to the growing importance of cybersecurity. Read more: https://analyticsindiamag.com/microsoft-releases-open-source-tool-to-test-the-security-of-ai-systems/
Microsoft India today released new research revealing that organisations that combine the deployment of AI with skilling initiatives are generating most value from AI.
AI has helped transform lead qualifications. AI has become easier to use and implement than ever before, and many businesses are applying AI solutions. AI Maké Sales More Efficient: Lead Qualification Using AI
Microsoft details T-ULRv2 model that can translate between 94 languages. The same week Facebook open-sourced M2M-100, an AI model that can translate between over 100 languages, Microsoft detailed an algorithm of its own — Turing Universal Language Representation (T-ULRv2) — that can interpret 94 languages.
An extensively researched list of top microsoft big data analytics and solution with ratings & reviews to help find the best Microsoft big data solutions development companies around the world.
Every week we bring to you the best AI research papers, articles and videos that we have found interesting, cool or simply weird that week. Have fun!