Tech Xplore on MSN

Speeding the path to synthetic jet fuel with AI, automation and biosensors

When it comes to powering aircraft, jet engines need dense, energy-packed fuels. Right now, nearly all of that fuel comes ...

The new age of air safety: How real-time weather, terrain, and turbulence tech makes jets safer than ever

Paramount Business Jets reports that advances in aviation tech enhance safety by improving turbulence prediction, situational ...

Mapping cell development with mathematics-informed machine learning

The development of humans and other animals unfolds gradually over time, with cells taking on specific roles and functions ...

My career path to Google included bartending and working at a nursing home. Here's what it taught me.

Milica Cvetkovic, said that getting her current job at Google was like training for a marathon — and she wouldn't change much ...

Robotics vs. Mechatronics: Which Career Path Should You Choose?

Explore the 2026 differences between Robotics and Mechatronics. Compare their career scopes, core subjects, and industry ...
World Bank

From Learning to Earnings: Cambodia’s Path from Foundational Learning to STEM* and Research

Cambodia’s education program supported by the World Bank’s General Education Improvement Project (GEIP) and two Higher Education Improvement projects (HEIP1&2) connects foundational learning to ...
IEEE

Discretized Urban Path Loss Modeling at 3.5 GHz Using Geospatial Features and Machine Learning Techniques: From Regression to Classification

Abstract: Accurately modeling and predicting urban path loss is a challenging task due to the fact that conventional regression models yield continuous estimates that can hide important performance ...
National Academies of Sciences%2c Engineering%2c and Medicine

Making Machine Learning Safer in High-Stakes Settings

Machine learning, a key enabler of artificial intelligence, is increasingly used for applications like self-driving cars, medical devices, and advanced robots that work near humans — all contexts ...
C&EN

Path to Machine Learning-Driven Autonomous Systems for Solid-State Electrolyte Batteries: Design, Fabrication, and Lifetime Prediction

Solid-state batteries (SSBs) promise the step-change in energy density and safety that today’s lithium-ion technology cannot deliver, yet progress is throttled by the slow and fragmented ...
Frontiers

A novel reinforcement learning framework-based path planning algorithm for unmanned surface vehicle

Unmanned surface vehicles (USVs) nowadays have been widely used in ocean observation missions, helping researchers to monitor climate change, collect environmental data, and observe marine ecosystem ...