Nine technologies developed at MIT Lincoln Laboratory have been selected as R&D 100 Award winners for 2021. Since 1963, this awards program has recognized the 100 most significant technologies transitioned to use or introduced into the marketplace over the past year. The winners are selected by an independent panel of expert judges. R&D World, an…
In the 1960s, the advent of computer-aided design (CAD) sparked a revolution in design. For his PhD thesis in 1963, MIT Professor Ivan Sutherland developed Sketchpad, a game-changing software program that enabled users to draw, move, and resize shapes on a computer. Over the course of the next few decades, CAD software reshaped how everything…
Bilge Yildiz’s research impacts a wide range of technologies. The members of her lab study fuel cells, which convert hydrogen and oxygen into electricity (and water). They study electrolyzers, which go the other way, using electricity to convert water into hydrogen and oxygen. They study batteries. They study corrosion. They even study computers that attempt…
Automated speech-recognition technology has become more common with the popularity of virtual assistants like Siri, but many of these systems only perform well with the most widely spoken of the world’s roughly 7,000 languages. Because these systems largely don’t exist for less common languages, the millions of people who speak them are cut off from…
At just one year old, a baby is more dexterous than a robot. Sure, machines can do more than just pick up and put down objects, but we’re not quite there as far as replicating a natural pull toward exploratory or sophisticated dexterous manipulation goes. Artificial intelligence firm OpenAI gave it a try with Dactyl…
Summary This code pattern describes a way to gain insights by using Watson OpenScale and a SageMaker machine learning model. It explains how to create a logistic regression model using Amazon SageMaker with data from the UC Irvine machine learning database. The pattern uses Watson OpenScale to bind the machine learning model deployed in the…
Summary This code pattern uses a German Credit data set to create a logistic regression model using Azure. The pattern uses Watson OpenScale to bind the machine learning model deployed in the Azure cloud, create a subscription, and perform payload and feedback logging. Description With Watson OpenScale, you can monitor model quality and log payloads,…
Note: This code pattern uses the classic Watson Assistant experience. After October 8, 2021, all instances (except the standard plan) can switch between the classic and new Watson Assistant experiences by going to the upper-right corner of the Watson Assistant screen and clicking the Manage icon. Summary In this code pattern, build a framework that…
Note: This code pattern uses the classic Watson Assistant experience. After October 8, 2021, all instances (except the standard plan) can switch between the classic and new Watson Assistant experiences by going to the upper-right corner of the Watson Assistant screen and clicking the Manage icon. Summary In this code pattern, learn how to authenticate…
Summary In this code pattern, learn how to use the Cortex Certifai Toolkit to create scans to evaluate the performance of multiple predictive models using IBM Watson Studio. Description Explainability of AI models is a difficult task that is made simpler by Cortex Certifai. The Cortex Certifai Tookit evaluates AI models for robustness, fairness, and…