AWS Startups Blog

Tag: AI

AIH Tech Uses High-Powered GPUs from AWS to Bring an Inclusive Approach to Facial Recognition Applications

There’s been plenty of attention paid by the media to the problems of facial recognition software in recent years. Invasion of privacy, for one, and high potential for misuse, for another. AIH Tech, a Toronto-based computer vision company, has set out to solve the problem that most other facial recognition technologies have faced in their bedrock: racial bias.

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How Startups Deploy Pretrained Models on Amazon SageMaker

For most machine learning startups, the most valuable resource is time. They want to focus on developing the unique aspects of their business, not managing the dynamic compute infrastructure needed to run their applications. Productionizing machine leaning should be easier, and that’s where AWS comes in. In this blog post and corresponding GitHub repo, you will learn how to bring a pre-trained model to Amazon SageMaker to have production-ready model serving in under 15 minutes.

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Understanding the New World of Office Space with Basking

Overnight, the COVID-19 pandemic reshaped how and where Americans work. By June, according to a survey from Stanford researchers, 42% of the U.S. labor force was working from home full time, with millions more not working at all. For employers, that shift has led to new challenges as they navigate an unprecedented economy. One big question: what to do with all the empty offices?

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Emedgene’s Migration to AWS for its AI-based Genomics Insights Platform

Founded in 2015, Emedgene has built an AI-based platform to automatically surface insights from genomics data. Previously, this data would need to be analyzed by genomics experts, of which there are only a few thousand around the world. Emedgene applies machine learning algorithms to generate these insights on the fly, essentially teaching computers how to be genetic researchers.

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Enabling AI and Machine Learning Model Training with Teraki

The Teraki platform, built by AI startup Teraki, automatizes intelligent sensor processing for telematics, video, and 3D point cloud data. The platform is developed with a single ideological concept/goal: Deliver scalability to manage the increasing need to handle sensor data from vehicles and devices in high volumes. Here’s how the team is leveraging AWS IoT services to do it.

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Online Proctoring Renaissance Powered by Artificial Intelligence and Machine Learning

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.

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tow men sitting in an office having a discussion about 1mg

1mg: Building a Patient Centric Digital Health Repository – Part 2

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.

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Yewno Uses AWS and ML to Analyze Vast Amounts of Data

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.

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