AI-driven tool to personalize 3D-printable models -- COMPAMED Trade Fair
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FAQ for developers and manufacturers on the EU AI Act

28.11.2024

On May 21, 2024, the Council of the 27 EU Member States adopted the AI Act, a uniform framework for the use of artificial intelligence in the European Union, which has been in force since August 1, 2024.
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Image: The four cover pictures of the COMAPAMED Hot Topics (AI, robotics and automation; Microtechnology; Innovative materials; Market development / international medical market) as a collage

Showcase into the future

15.08.2024

Imagine standing on the threshold of the future of medical technology – a world in which tiny machines achieve great things, intelligent materials adapt to the needs of patients and robots redefine the limits of what is possible. With the Hot Topics, COMPAMED 2024 in Düsseldorf offers unique showcases of these fascinating developments.
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Image: A data center with many servers; Copyright: Envato/MegiasD

Envato/MegiasD

Artificial intelligence: unlimited possibilities or unstoppable resource drain?

27.05.2024

Within medical technology, AI programs are swiftly being implemented - from relieving doctors of work to detecting cancerous tumors at an early stage. AI is also playing an increasingly important role for medical technology suppliers. It can control, monitor and optimize manufacturing processes for components and materials.
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Image: This graphic visualizes the AI technique employing arrows and different colors; Copyright: Ken Sakaushi National Institute for Materials Science

Ken Sakaushi National Institute for Materials Science

AI-based evolution: green hydrogen production enhances with platinum-free electrode materials

28.03.2024

Cutting-edge AI technology is improving the field of materials science, particularly in the quest for sustainable energy solutions. Researchers at the National Institute for Materials Science (NIMS) in Japan have developed an evolutionary AI technique that accelerates the discovery of high-performance materials crucial for green hydrogen production.
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Image: This image shows symbolically some cells in petri plates in a laboratory.

Advancing immune cell analysis with micro-robots

28.02.2024

A cutting-edge research from the University of Chicago's Pritzker School of Molecular Engineering and Department of Chemistry unveils a development in immune cell analysis. Scientists have engineered microscopic robots capable of binding to immune cells, offering a novel approach to studying their functions and advancing immunotherapy design.
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Image: Biomechanical carbon hand prosthesis for disabled people on the table in the office, another white prosthesis in the background; Copyright: ionadidishvili

ionadidishvili

Hand prostheses: Artificial intelligence makes gripping more intuitive

14.12.2023

A better understanding of muscle activity patterns in the forearm supports a more intuitive and natural control of artificial limbs. This requires a network of 128 sensors and artificial intelligence based techniques.
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Image: Six men in suits stand next to each other and pose for the camera; Copyright: SMWA

SMWA

Optimization of chip production through AI: Green light for the LOTSE joint project

23.11.2023

The Chair of Databases at TUD Dresden University of Technology is now a partner in the European Regional Development Fund (ERDF) joint research and development project LOTSE - an AI project to optimize chip production in Saxony.
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Image: Close up of a microchip; Copyright: aetb

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.
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Image: A man and a woman stand in front of a terminal on a large machine and work on it; Copyright: eakkachaih

eakkachaih

Focusing on the human – knowledge and assistance in production

01.11.2023

Providing the best possible support for people in production, transferring their knowledge and maintaining their ability to work for as long as possible is becoming increasingly important for companies, a trend report by Fraunhofer IPK makes clear.
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Image: Visualization of state qualification in violet and green; Copyright: Fraunhofer IWM

Fraunhofer IWM

Using deep learning to classify steel materials objectively

11.10.2023

Researchers at the Fraunhofer IWM, in collaboration with Schaeffler Technologies AG & Co. KG, have developed a deep learning model that enables objective assessment of the grain size in steel.
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Image: A blue 3D printed bandage on a hand; Copyright: Faraz Faruqi and Stefanie Mueller

Faraz Faruqi and Stefanie Mueller

AI-driven tool to personalize 3D-printable models

19.09.2023

MIT researchers developed a generative-AI-driven tool that enables the user to add custom design elements to 3D models without compromising the functionality of the fabricated objects. A designer could utilize this tool, called Style2Fab, to personalize 3D models of objects using only natural language prompts to describe their desired design.
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Image: Symbolic image of the use of artificial intelligence (brain in front of rusting metal) in corrosion research; Copyright: Max-Planck-Institut

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.
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Image: Close-up of a laser performing metal laser material processing toned in blue; Copyright: Fraunhofer ILT, Aachen

Fraunhofer ILT, Aachen

What can AI do in laser materials processing?

30.08.2023

Automation and zero-defect production are important trends in machine construction. Artificial intelligence (AI) plays a major role in advancing both of them. Today, it can already detect deviations in process monitoring data and implement quality control in real time. In the future, AI will regulate many more processes and simplify process planning through assistance functions.
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Image: Graphic of a processor on a mainboard on the processor is a brain graphically recorded; Copyright: iLexx

iLexx

Materials for AI: more brainpower for hardware and software

08.08.2023

Researchers are developing neuromorphic materials to optimize adaptive algorithms for autonomous driving and more. These materials resemble brain structure, enabling faster and more efficient algorithm responses. Supported by Volkswagen Foundation with €1 million, the team aims to apply the approach to hardware.
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Image: A person works on a machine; Copyright: ThisisEngineering RAEng / Unsplash

ThisisEngineering RAEng / Unsplash

Sensors: when the ­machine reports its status

01.08.2023

Even if the central concern of digitally integrated production or Industry 4.0 is networking industrial systems – the individual machine remains a central focus point of optimization. The reasons: Networking requires interfaces that must first be implemented on the individual machine.
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Image: A man stands in front of a monitor showing the atomistic structure of a polymer with carbon atoms and hydrogen atoms; Copyright: UBT / Chr. Wißler

UBT / Chr. Wißler

Digital AI system for tailoring polymers

25.07.2023

Prof. Dr. Christopher Kuenneth together with research partners in Atlanta, USA, have now developed a digital system that promises extraordinarily high economical, technological and ecological benefits: from around 100 million theoretically possible polymers, their system can precisely select those materials that have an ideal property profile for targeted applications at unprecedented speed.
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Image: Group picture of 16 people, the Newlife consortium at Fraunhofer IZM in Berlin; Copyright: Fraunhofer IZM

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.
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Image: A person sits at a laser scanning microscope for tumor delineation; Copyright: Fraunhofer IPMS

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.
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Image: Functional model of capsule; Copyright: SIAT

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.
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Image: Symbol image for artificial intelligence; Copyright: Gerd Altmann / Pixabay

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.
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Graphic: an overview of a room with medical equipment in a hospital; copyright: envato

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?
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Image: Four people pose next to a technical apparatus,Dr. Philip Wollmann, Dr. Wulf Grählert, Oliver Throl and Livia Szathmáry (from left); Copyright: Amac Garbe/Fraunhofer IWS

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.
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Image: Smiling woman with black blazer, glasses, and blond hair in a laboratory – Dr. Julia Westermayr; Copyright: Swen Reichhold

Swen Reichhold

AI: new method for targeted design of molecules

22.02.2023

Engineering novel molecules and materials with specific properties can yield significant advances for industrial processes, drug discovery and optoelectronics. However, the search for novel molecules and materials is comparable to looking for a needle in a haystack, since the number of molecules in chemical space is of the unimaginable order of 10 to the power of 60.
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