How Smart Cities can benefit from Video Analytics
Leveraging Artificial Intelligence helps in analyzing massive amounts of surveillance video, which further optimizes municipal operations and improves resident’s quality of life.
Taking Electric Vehicle Fleet to the Next Level
To cut down on greenhouse gas (GHG) emissions & capitalize on renewable energy adoption, countries are leaning towards massive adoption of electric vehicles.
How Machine Learning Apps have Changed our Lives?
Every organisation today wants to get their hands-on customer data using Machine Learning Apps in order to track the data and give best possible results.
How Can Wide Area Tracking Redefine Transportation?
Transportation infrastructure is getting highly modernized with sensors making way for Wide Area Tracking to transcend the growth of the transport industry.
DevOps Security in Software Development
Since DevOps has become the new norm and security becomes an ever-important part of modern day business, teams should focus on building security into DevOps practices.
Benefits of Streaming Audio Over Streaming Video
In the good old days of file sharing, you had to sit around and wait, as the computer and internet connection took its dear time to download something.
How Mobile Apps Play a Crucial Role in IoT World?
The futuristic aspect of IoT (Internet of Things) has created a stir in everyday life, but what fuels the development of IoT is the information gathered by mobile apps.
How Did Streaming Video Change The Internet?
Streaming services have taken over the Internet. Now searching the Internet for TV shows has become easier as streaming sites stream all of them just as they would on DVD.
Smart Cities: Unlocking Endless Possibilities
Smart Cities are now becoming mainstream vehicles to support long-term economic growth and well-being of its inhabitants. It brings convenience and opportunities for the residents.
Why Human-In-The-Loop is Crucial For Machine Learning
Pure Machine Learning based systems tend to fall short in terms of accuracy. While, the combination of machine-driven classification with human-in-the-loop factor brings more accuracy.