This week’s Automation Articles explains how mapping technology employs artificial intelligence (AI) and machine learning to provide consumers with a wide range of options while traveling. Voice biometrics, on the other hand, can protect clients from fraud. Tokyo 2020 Olympics is a hot topic nowadays & and Alex shed some insight on how Japan is leveraging AI to create an incredible gaming experience.
Unstructured data is being used by large corporations for data analysis and decision-making. Furthermore, most firms are employing Artificial Intelligence (AI) to make the lives of designers easier, and it will be fascinating to observe how AI will affect the design sector in the future.
10) Perfecting mapping with AI and machine learning
Across the world, mapping technology with Artificial Intelligence (AI) and machine learning allows users to have a variety of choices on their travels. Be it driving, flying, or walking, GPS systems are now a lifesaver in keeping users on track. Before this, most of us often used old maps or would buy travel maps whenever we wanted to move around.
Read More: Tech Wire Asia
Author: Aaron Raj
9) AI Takes the Stage at the Summer Olympics
It might not be obvious from the TV coverage, but the Tokyo 2020 Olympics (which of course are being held in 2021) are infused with big data and AI to an extent never before experienced in an Olympic game.
Read More: Datanami
Author: Alex Woodie
8) Why unstructured data is the future of data management
According to Venture Beat Enterprises are increasingly counting on unstructured data for regulatory, analytic, and decision-making purposes. Unstructured data will power analytics, machine learning, and business intelligence.
Read More: Automeme
7) Love robots + UI: The role of AI in the design industry
The idea of creating a machine that can mimic human intelligence is a mainstay in the field of technology. We have already made the jump from “AI” being a movie from the early 2000s to something we take for granted as it sets our alarms for us on our iPhones.
Read More: UXDesign.cc
6) How voice biometrics can protect your customers from fraud
Voice identity verification is catching on, especially in finance. Talking is convenient, particularly for users already familiar with voice technologies like Siri and Alexa. According to experts from two leading companies innovating in the voice biometrics space, voice identification offers a level of security that PIN codes and passwords can’t.
Read More: Venture Beat
Author: Kristina Bravo
5) Facebook’s next hardware launch will be its Ray-Ban ‘smart glasses’
Facebook’s next hardware launch will be its long-awaited Ray-Ban ‘smart glasses,’ CEO Mark Zuckerberg confirmed on an earnings call this week. When exactly the glasses will arrive is unclear. We least heard they were launching sometime in 2021, but the pandemic has changed a lot of companies’ plans, and Zuckerberg did not comment on a time frame.
Read More: The Verge
4) Researchers improve robot-assisted surgery with AI
Robot-assisted surgery promises nothing short of a paradigm shift in medicine. In subfields from urology and gynecology to cardiothoracic and pediatric surgery, it’s enabling surgeons to perform complex procedures without having to resort to laparotomy (surgical incisions into the abdomen)
Read More: Venture Beat
Author: Kyle Wiggers
3) Machine Learning Applications need Less Data than has Been Assumed
Researchers from the University of British Columbia and the University of Alberta have found that at least some machine learning applications can learn from far fewer examples than has been assumed, the group describes testing they carried out with machine learning applications created to predict certain types of molecular structures.
Read More: Eletimes
2) OpenAI debuts Python-based Triton for GPU-powered machine learning
OpenAI, the nonprofit venture whose professed mission is the ethical advancement of AI, has released the first version of the Triton language, an open-source project that allows researchers to write GPU-powered deep learning projects without needing to know the intricacies of GPU programming for machine learning.
Read More: Infoworld
Author: Serdar Yegulalp
1) How AI and Machine Learning Can Make or Break Our Mobile Privacy
Read More: Business 2 Community
Author: Dmytro Spilka