Wevolver | Machine Learning Articles

Podcast: AI Model Tests AI Models To Tell Us How They Work

In this episode, we talk about MIT researchers making a smart tool (like a robot scientist) that uses AI to understand and explain how other AI brains (neural networks) work.

Ultrafast Reservoir Forecasting Boasts Speed and Accuracy

Imagine a task that used to take 11 minutes now taking less time than the blink of an eye. Couple that speed increase with 97% accuracy, and these are the results researchers achieved when combining ML, neural networks and novel compression in a new project advancing reservoir production forecasts.

AI Discovers That Not Every Fingerprint Is Unique

Columbia engineers have built a new AI that shatters a long-held belief in forensics–that fingerprints from different fingers of the same person are unique. It turns out they are similar, only we’ve been comparing fingerprints the wrong way!

Smart wireless IoT systems for air quality monitoring

Every day, the average person inhales a staggering 11,000 liters of air, amounting to more than 300 million liters over a lifetime (as reported by TheWorldCounts).

AI agents help explain other AI systems

MIT researchers introduce a method that uses artificial intelligence to automate the explanation of complex neural networks.

The limitations of being human got you down? There's a robot for that

From space robots to self-driving cars, Stanford’s Autonomous Systems Lab looks to push the boundaries of exploration and boost the safety and efficiency of everyday tasks.

Drones CAN navigate dynamic environments

Novel drone navigation technology developed by Kenji Shimada was put to the test in an active Japanese tunnel construction site, enabling drones to approximate where a collision may occur and prevent it.

Artificial intelligence and machine learning will transform the IoT

One of the biggest transformations happening in wireless IoT connectivity right now is the introduction of artificial intelligence (AI) and machine learning (ML).

Chop, chop: Improving food prep with the power of AI

Researchers at CMU combined two vision foundational models—models trained on large visual data sets—to help a robot arm recognize the shape and the type of fruit and vegetable slices.

How do you make a robot smarter? Program it to know what it doesn't know.

Modern robots know how to sense their environment and respond to language, but what they don’t know is often more important than what they do know. Teaching robots to ask for help is key to making them safer and more efficient.

podcast

Podcast: Reverse Engineering The Brain With AI

In this episode, we talk all about connectomics - the study of animal brains - and how researchers at MIT have started leveraging AI to break through the primary bottleneck: brain image acquisition.

This 3D printer can watch itself fabricate objects

Computer vision enables contact-free 3D printing, letting engineers print with high-performance materials they couldn’t use before.

Using AI to optimize for rapid neural imaging

MIT CSAIL researchers combine AI and electron microscopy to expedite detailed brain network mapping, aiming to enhance connectomics research and clinical pathology.

Using language to give robots a better grasp of an open-ended world

By blending 2D images with foundation models to build 3D feature fields, a new MIT method helps robots understand and manipulate nearby objects with open-ended language prompts.