Machine learning unlocks secrets to advanced alloys

The concept of short-range order (SRO)—the arrangement of atoms over small distances—in metallic alloys has been underexplored in materials science and engineering. But the past decade has seen renewed interest in quantifying it, since decoding SRO is a crucial step toward developing tailored high-performing alloys, such as stronger or heat-resistant materials.

Projected Language Models: A Large Model Pre-Segmented Into Smaller Ones

This paper has been accepted at the Foundation Models in the Wild workshop at ICML 2024. Large language models are versatile tools but are not suitable for small inference budgets. Small models have more efficient inference but their lower capacity means that their performance can be good only if one limits their scope to a …

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How Deloitte Italy built a digital payments fraud detection solution using quantum machine learning and Amazon Braket

As digital commerce expands, fraud detection has become critical in protecting businesses and consumers engaging in online transactions. Implementing machine learning (ML) algorithms enables real-time analysis of high-volume transactional data to rapidly identify fraudulent activity. This advanced capability helps mitigate financial risks and safeguard customer privacy within expanding digital markets. Deloitte is a strategic global …

Ant insights lead to robot navigation breakthrough

Have you ever wondered how insects are able to go so far beyond their home and still find their way? The answer to this question is not only relevant to biology but also to making the AI for tiny, autonomous robots. Drone-researchers felt inspired by biological findings on how ants visually recognize their environment and …

Creating and verifying stable AI-controlled robotic systems in a rigorous and flexible way

Neural networks have made a seismic impact on how engineers design controllers for robots, catalyzing more adaptive and efficient machines. Still, these brain-like machine-learning systems are a double-edged sword: Their complexity makes them powerful, but it also makes it difficult to guarantee that a robot powered by a neural network will safely accomplish its task.

Integrating Twilio WhatsApp API with a Node.js Application

In this article, we will be exploring how to integrate the Twilio WhatsApp API with a Node.js application. Twilio provides an easy-to-use API for integrating messaging services such as WhatsApp into your applications. By the end of this tutorial, you’ll have a functioning Node.js application that can send and receive messages using the Twilio WhatsApp API. …

On a Neural Implementation of Brenier’s Polar Factorization

In 1991, Brenier proved a theorem that generalizes the polar decomposition for square matrices — factored as PSD ×times× unitary — to any vector field F:Rd→RdF:mathbb{R}^drightarrow mathbb{R}^dF:Rd→Rd. The theorem, known as the polar factorization theorem, states that any field FFF can be recovered as the composition of the gradient of a convex function uuu with …