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Scientists at EPFL have created MammAlps, a multi-view, multi-modal video dataset that captures how wild mammals behave in the Swiss Alps. This new resource could be a game-changer for wildlife monitoring and conservation efforts.

AI monitors wildlife behavior in the Swiss Alps

ORGANIZATIONS.

SHAPING THE INDUSTRY.

The Next Byte

Entertainment

The Next Byte Podcast is hosted by two young engineers - Daniel and Farbod - who select the most interesting tech/engineering cont...

165 Posts

EPFL

University

Located in Switzerland, EPFL is one of Europe’s most vibrant and cosmopolit...

56 Posts

Photoneo

Industrial Automation

Photoneo develops industrial 3D vision, robotic intelligence software, and ...

54 Posts

High Tech Campus Eindhoven

High Tech

High Tech Campus Eindhoven is Europe's smartest square km and has the ultim...

49 Posts

ETH Zurich

University for science and technology

Freedom and individual responsibility, entrepreneurial spirit and open-​min...

43 Posts

EPFL roboticists have shown that when a modular robot shares power, sensing, and communication resources among its individual units, it is significantly more resistant to failure than traditional robotic systems, where the breakdown of one element often means a loss of functionality.

Resource-sharing boosts robotic resilience

In large-scale warehousing and distribution operations, conveyor belts are an essential infrastructure that must operate with near-zero downtime to ensure the timely delivery of products. The presence of loose or foreign items on a conveyor belt can pose a serious risk to these operations.

Leveraging Open Set Detectors to Create a Custom Detector

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Researchers at ETH Zurich and Empa have developed a new image sensor made of perovskite. This semiconductor material enables better colour reproduction and fewer image artefacts with less light. Perovskite sensors are also particularly well suited for machine vision.

Better images for humans and computers

ATCx AI for Engineers 2025, Altair's global virtual event, which focuses on the practical impact of AI in engineering. Bringing together industry experts, engineers, and technologists, the event showcases how AI is being applied across various domains, disciplines, and the world.

ATCx AI for Engineers 2025 Global Virtual Event

Scientists at EPFL have unraveled the details of the first crucial step in the oxygen evolution reaction, a bottleneck for clean hydrogen production, using advanced simulations and machine learning techniques.

Toward more efficient hydrogen production
event | JUN 26 - JUN 26, 2025

Join ATCx AI for Engineers 2025, Altair's global virtual event showcasing AI-driven innovations in design, simulation, and manufacturing. Discover 100 real-world AI use cases, gain insights from industry leaders, and explore how AI is transforming engineering workflows.

Ask Anything, Solve Everything: ATCx AI for Engineers 2025

Researchers at ETH Zurich have developed the first technology that is able to recognise biomarkers in menstrual blood – directly in sanitary towels. MenstruAI promises a simple, non-invasive method for recording health data in everyday life.

Sanitary towels morph into test strips