Sebastian Lassak, Fraunhofer IPMS
Edge AI sensors for health and environment
03.05.2025
InSeKT develops compact edge AI sensors for real-time applications in medical technology, industrial electronics, and environmental monitoring.
MedTech: maximum cybersecurity
25.02.2025
The modernization and networking of medical technology devices raises questions about cybersecurity.
AI tool for faster detection of placental health issues
10.01.2025
A new developed AI-tool could improve neonatal and maternal care by analyzing placentas immediately after birth.
EU AI Act: FAQ for developers
28.11.2024
We answer the most important questions about the development and production of AI solutions in medical technology.
Showcase into the future
15.08.2024
With the Hot Topics, COMPAMED in Düsseldorf showcases fascinating developments in medical technology.
Envato/MegiasD
AI: unstoppable resource drain?
27.05.2024
As great as the possibilities offered by AI are, their use is linked to prerequisites that many people are not aware of.
Ken Sakaushi National Institute for Materials Science
AI boosts green hydrogen production with platinum-free electrodes
28.03.2024
NIMS Japan developed AI that speeds up the discovery of materials for green hydrogen, advancing sustainable energy and materials science.
Advancing immune cell analysis with micro-robots
28.02.2024
UChicago engineers microscopic robots that bind immune cells, revolutionizing analysis and boosting future immunotherapy design.
ionadidishvili
Artificial intelligence makes gripping more intuitive
14.12.2023
128 sensors and AI help decode forearm muscle patterns, enabling more natural and intuitive control of artificial limbs.
SMWA
Optimization of chip production through AI
23.11.2023
TUD’s Chair of Databases joins ERDF project LOTSE, using AI to optimize chip production and strengthen Saxony’s semiconductor industry.
aetb
TUM professor develops an energy-saving AI chip
02.11.2023
Hussam Amrouch has developed an AI-ready architecture that is twice as powerful as comparable in-memory computing approaches.
eakkachaih
Human focus: knowledge and assistance in production
01.11.2023
A Fraunhofer IPK trend report highlights how supporting workers, preserving know-how, and maintaining employability are key goals for companies.
Fraunhofer IWM
Using deep learning to classify steel materials objectively
11.10.2023
Fraunhofer IWM and Schaeffler develop deep learning model for objective steel grain size assessment.
Faraz Faruqi and Stefanie Mueller
AI-driven tool to personalize 3D-printable models
19.09.2023
MIT’s Style2Fab lets users personalize 3D models with text prompts, adding custom designs without affecting object functionality.
Max-Planck-Institut
Artificial intelligence designs advanced materials
31.08.2023
Scientists of the Max-Planck-Institut für Eisenforschung pioneer new machine learning model for corrosion-resistant alloy design.
Fraunhofer ILT, Aachen
What can AI do in laser materials processing?
30.08.2023
AI drives automation and zero-defect production by enabling real-time quality control and will soon assist in planning and regulating processes.
iLexx
Materials for AI: more brainpower for hardware and software
08.08.2023
Backed by €1 million from VW Foundation, researchers develop neuromorphic materials to boost adaptive algorithms for autonomous driving.
ThisisEngineering RAEng / Unsplash
Sensors: when the machine reports its status
01.08.2023
In Industry 4.0, networking is key - but optimizing individual machines remains crucial, as interfaces start at the machine level.
UBT / Chr. Wißler
Digital AI system for tailoring polymers
25.07.2023
Prof. Kuenneth’s team builds digital system to rapidly identify ideal polymers from 100M+ options - boosting tech, eco, and economic gains.
Fraunhofer IZM
Pregnancy: intelligent patch for remote monitoring
29.06.2023
A patch equipped with highly sensitive electronics is meant to collect and evaluate vital data. In addition, the sensors will be integrated into baby clothing in order to improve the future of medical monitoring for newborns with the highest level of data security.
Fraunhofer IPMS
Micro scanners in medicine: flexible for customized applications
20.06.2023
The potential of micro scanners in medical technology is immense. Their small size, low weight and high energy efficiency make them ideal for mobile use. More than 200 different micro scanner designs have been developed at Fraunhofer IPMS to meet customer-specific requirements.
SIAT
Capsule X-ray dosimeter for real-time radiotherapy monitoring
19.04.2023
In radiotherapy, precision in targeting tumor tissue while minimizing damage to healthy tissue is crucial. Monitoring the dose of radiation delivered and absorbed in real-time, particularly in the gastrointestinal tract, poses significant difficulty.
Gerd Altmann / Pixabay
Using AI to design innovative materials
11.04.2023
Advanced materials become increasingly complex due to the high requirements they have to fulfill regarding sustainability and applicability. Dierk Raabe and colleagues reviewed the use of artificial intelligence in materials science and the untapped spaces it opens if combined with physics-based simulations.
envato
Artificial intelligence in medicine: "There are many ways to make mistakes"
06.04.2023
It assists many physicians and is designed to make their lives easier: Artificial intelligence (AI) has seen an increased use and widespread adoption in healthcare settings. As such, it helps analyze X-ray and CT images or supports chronic disease management, for example. But how trustworthy is AI software?
Amac Garbe/Fraunhofer IWS
Sharp hyperspectral eye for chip production
23.03.2023
Precise two-dimensional analysis of high-tech layers in microelectronics, battery factories or even in the automotive sector approaches within reach. A measuring system developed at the Fraunhofer Institute for Material and Beam Technology IWS.
Swen Reichhold
AI: new method for targeted design of molecules
22.02.2023
Leipzig and Warwick scientists create method for targeted design of molecules with desired properties.