Tag: Machine Learning

The transition of the market research industry away from telephone and face-to-face interviews towards online platforms has massively increased the speed and reach of data collection. Modern online survey platforms, such as Dalia Research’s, allow millions of users every day to share their thoughts on politics, social issues, or consumer behavior. However, survey fraud is also on the rise. Here’s how Dalia’s leveraging machine learning to remedy it.

Education startup Honorlock has innovated exam integrity by introducing a browser extension rather than a software download, launching exam content protection technology (Search & Destroy™), detecting secondary devices during exams (Multi-Device Detection™), and providing human voice detection. They have also deployed a hybrid approach to exam proctoring, combining both AI and ML), with live human proctors (Live Proctor Pop-In™). Here’s how they’re doing it.

Utkarsh Gupta, Lead Data Scientist at 1mg.com walks us through how the healthcare startup is building a patient-centric digital health repository. In part 2 of this series, he discusses how the infrastructure described above can be used for large scale machine learning applications and the ways to deploy them in production.

Utkarsh Gupta, Lead Data Scientist at 1mg.com walks us through how the healthcare startup is building a patient-centric digital health repository.

Finding the right data, both internally and externally, for your ML can be a huge pain, though. It’s often dirty, hidden behind paywalls, or just not enough to give a full view of a situation. This is where Explorium comes in.

The mass digitization of information has made finding the right thing online difficult to say the least. This is precisely the problem Yewno was founded to solve. Leveraging sophisticated AI, built with AWS, the startup analyzes millions of information sources in real-time. Rather than simply hunting for keywords, the startup’s algorithms read text, understand context and meaning, and explain why things are connected.

San Francisco-based Synthesis AI has developed technology that generates vast quantities of photorealistic images and pixel-perfect labels to optimize computer vision training. “The world is exploding with cameras,” says Synthesis AI CEO Yashar Behzadi. “As we look at the new world of autonomous vehicles, augmented reality, and virtual reality, we’ve been fundamentally limited by traditional approaches.”

Check out a series of customer stories putting spotlight on the AWS-based ready-to-deploy startup solutions focused on helping healthcare providers around the world navigate the challenges of COVID-19.

Being able to choose really powerful instances to reduce your training time on demand, paying only for the seconds you use them, and at the same time having the choice of your notebook instances in your favorite tooling opens large opportunities for cost savings and productiveness across startups. AWS Startup Solutions Architect Manager Daniel Bernao walks us through how to do it.

Founded in 2019, Tecton is on a mission to simplify the process of building and productizing data for machine learning, in an effort to make the technology accessible to any company. Instead of having data scientists and data engineers operating in silos and spending months implementing data pipelines, Tecton automates the complete lifecycle of data for ML.