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According to the global health experts, musculoskeletal disorders (MSDs) affect around 1.71-billion people globally and are the leading contributor to disability worldwide, with low back pain being the single biggest cause. Repeated heavy lifting is an activity that places considerable strain on the musculoskeletal system, which can lead to the development of MSDs. The US Institute of Medicine estimates the economic burden of workplace MSDs as measured by absenteeism, compensation costs, lost wages, and lost productivity being US$ 45 – 54 billion annually in the US alone. And as populations continue to age, these figures will rise.

Let’s be honest, engineering is the powerhouse of innovation, and engineers have developed some of the most life-altering products and solutions known to humanity today.

CloudNC tells Ed Hill about its revolutionary new CAM programming software CAM Assist aimed to dramatically reduce CNC machine tool CAM strategy creation.

As we navigate the rapidly evolving landscape of geospatial technology, a crucial challenge emerges: the growing skill gap in the Geographic Information Systems (GIS) industry. This gap is not just a hurdle; it represents a significant opportunity for innovation and adaptation. At Picterra, we've been closely attuned to this challenge, recognising the need for tools and solutions that not only embrace technological advancements but also make them accessible and usable for professionals across various sectors.

German Bionic, a developer of electrically powered exoskeletons, raised more than $16.3 million in an expanded Series A funding round. The funding is part of the company’s plan to intensify its relationship with its industrialization partner, Mubea. Mubea is a German automotive supplier. German Bionic said it’s leveling up its relationship with the supplier to better meet the escalating demand for smart occupational safety systems. “The strengthening of our partnership with German Bionic underscores Mubea’s commitment to play a pivotal role in advancing sustainable mobility solutions,” said Thomas Muhr, managing partner of Mubea. “This is increasingly the case in the field of micromobility, which operates within the group under the name Mubea U-Mobility. Our expertise in smart lightweight solutions coupled with a proven track record in successfully launching large-scale production projects and the global reach of the Mubea Group, align seamlessly with the shared growth objectives we are pursuing alongside German Bionic.

Semron has raised $7.9 million (7.3 million euros) for AI chips with 3D packaging for mobile devices. Dresden, Germany-based Semron said its goal is to set a new standard for AI chips in mobile devices, addressing the evolving needs of the industry.Led by Join Capital and supported by SquareOne, OTB Ventures, and Onsight Ventures, this funding positions Semron for semiconductor innovation at a time when Moore’s Law is slowing down. In an era dominated by the demand for increasingly sophisticated AI capabilities, Semron is targeting development of advanced computer chips designed to power the smallest consumer devices like smartphones, earbuds, and VR headsets.

A new Germany-based startup, Semron, is developing what it describes as “3D-scaled” chips to run AI models locally on smartphones, earbuds, VR headsets and other mobile devices. Co-created by Kai-Uwe Demasius and Aron Kirschen, engineering graduates from the Dresden University of Technology, Semron’s chips use electrical fields to perform calculations instead of electrical currents — the medium of conventional processors. This enables the chips to achieve higher energy efficiency while keeping the fabrication costs to produce them down, Kirschen claims.

2023 was a breakthrough year for AI technology, marked by the rise of generative AI with a multitude of new GPT models and advanced diffusion models. These achievements, years in the making, were made possible by ongoing research and development far from the public eye. Yet, generative AI is only a part of the vast landscape of AI innovation. Specialized models are tackling unique challenges across various domains, including patent intelligence As we look ahead to 2024, the big questions are – how will 2024 and beyond shape up for the patent industry with respect to technology? How are the AI models that work in the background of patent search evolving? Where do the Large Language Models (LLMs) fit in? What big changes are heading our way?

We’re excited to share more about our Seed investment in SEMRON, the Dresden-based company developing revolutionary semiconductors that enable AI to run directly on your smartphone.