Aquatic robot’s self-learning optimization enhances underwater object manipulation skills

In recent years, roboticists have introduced robotic systems that can complete missions in various environments, ranging from the ground to underground, aboveground and underwater settings. While several of these robots can grasp and move objects on the ground, the handling of objects by robotic systems underwater has so far proved more challenging.

Leveraging machine learning to find promising compositions for sodium-ion batteries

Energy storage is an essential part of many rapidly growing sustainable technologies, including electric cars and renewable energy generation. Although lithium-ion batteries (LIBs) dominate the current market, lithium is a relatively scarce and expensive element, creating both economic and supply stability challenges. Accordingly, researchers all over the world are experimenting with new types of batteries …

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Can AI eliminate manual processing for insurance claims? Loadsure built a solution to find

Traditionally, insurance claims processing has been a labor-intensive and time-consuming process, often involving manual verification of documents and data entry. This can lead to delays in claim settlements and a frustrating experience for policyholders.  Loadsure, a global Insurtech firm based in London, recognized the need to address these challenges and sought a solution that would …