Aether的动态

The agriculture sector is ripe with digital opportunities yet faced with significant barriers, including adoption struggles and issues with data architecture and interoperability. AI is set to be a game-changer, addressing these challenges and enhancing the sector's response to climate impact. Nvidia's investment in Carbon Robotics is an interesting development, and we expect to see more such activities going forward.

Robot-computer synergy propels a sustainable future The innovative integration of robotics and machine learning accelerates the development of efficient, sustainable hydrogen catalysts. For materials scientists, optimising chemical catalysts is like solving a Rubik’s Cube: each twist and turn represents an adjustment in chemical composition or process parameters, with only a precise combination of elements and conditions yielding the optimal catalyst. “The traditional approach to materials discovery uses ‘Edisonian’ trial-and-error, with one-variable-at-a-time manual experimentation,” explained Yee-Fun Lim, a Principal Scientist at A*STAR’s Institute of Sustainability for Chemicals, Energy and Environment (ISCE2). This method not only demands significant time and effort but also stifles innovation by its sheer inefficiency... https://bit.ly/4fuFX81 A*STAR - Agency for Science, Technology and Research #Singapore #Research #Robotics #Sustainability #SoutheastAsia

Robot-computer synergy propels a sustainable future The innovative integration of robotics and machine learning accelerates the development of efficient, sustainable hydrogen catalysts. For materials scientists, optimising chemical catalysts is like solving a Rubik’s Cube: each twist and turn represents an adjustment in chemical composition or process parameters, with only a precise combination of elements and conditions yielding the optimal catalyst. “The traditional approach to materials discovery uses ‘Edisonian’ trial-and-error, with one-variable-at-a-time manual experimentation,” explained Yee-Fun Lim, a Principal Scientist at A*STAR’s Institute of Sustainability for Chemicals, Energy and Environment (ISCE2). This method not only demands significant time and effort but also stifles innovation by its sheer inefficiency... https://bit.ly/4fuFX81 A*STAR - Agency for Science, Technology and Research #Singapore #Research #Robotics #Sustainability #SoutheastAsia

Unveiling the Roots of Success: Automated Root System Grading with Wageningen University! We're thrilled to announce a collaborative effort with Wageningen University & Research (WUR) to develop a groundbreaking system for automatically grading plant health based on their root systems! Traditionally, root assessment is a manual, time-consuming process. Our system uses the latest technology to analyze root structure, providing: Objective & Consistent Grading:?Eliminate subjectivity and ensure consistent evaluation across operations. Early Detection of Issues:?Identify potential problems like root rot or deficiencies before they impact yield. Data-Driven Decisions:?Optimize growing conditions and resource allocation based on root health insights. "What we are developing is a technology that can take a photo of the roots and the shoot of the plant, and use image processing and eventually deep-learning to identify if that plant is healthy. We want this method to be automated, reliable, repeatable, and scaleable," explains Lydia Meesters, project leader and scientist of Computer Vision at WUR's Vision + Robotics programme. What are the biggest challenges you face in evaluating plant root systems? Full article in the comments

Exciting progress on my recycling collection project! ?? I recently trained the new YOLO v11s model on a custom dataset to optimize object detection for three classes of recyclable materials (cans, plastic bottles, and glass bottles). I've put together a video comparing their performance with a previously trained YOLOv5. More data is on the way, so fingers crossed that these models can spot better that sneaky plastic bottle trying to blend in with the cans. Although the trained YOLOv5s detected it in some frames. ?? Check out the video to see how the models stack up, and let me know what you think! #AI #MachineLearning #YOLO #ObjectDetection #Recycling #ComputerVision #waste St. Clair College Research and Innovation St. Clair College Ultralytics YOLOvX

???? When Nature Meets Technology: A Mushroom That Crawls!???? In a groundbreaking fusion of biology and robotics, scientists have successfully attached a robot body to a mushroom, and the results are mind-blowing! ?? The mushroom, typically rooted in place, learned how to crawl by interacting with the robotic limbs. This innovative research offers a glimpse into the future of Biohybrid technologies, where living organisms can integrate with mechanical systems, opening up possibilities in Biotechnology, sustainability, and even medical innovations. Imagine a world where biological life forms control robotics—what could this mean for AI development and nature-inspired engineering? ??? #Innovation #Biohybrid #FutureOfTech #Robotics #Biotech #AI #ScienceAndTechnology

Wanted to share this article I wrote about the incredible self-healing material and "soft" robots created by researchers at Vrije Universiteit Brussel! ?? I find it incredible that some of humanity's most innovative breakthroughs were inspired by nature. Seppe's work is such a great example of biomimicry, and technology made better by imitating living things. Fascinating stuff! ?? Have a read to find out more about this cool research: https://lnkd.in/gQQ-NVcw

Hundreds of thousands of novel materials are candidates for all kinds of applications that will improve sustainability around the world. ?? But how can their analysis be scaled up to make these improvements available as soon as possible? ? The Berkeley Lab has found an answer: last year, they published a blog where they explained that by integrating more and more automation into their labs, scientists and technicians have been freed up to accelerate research into new materials ???? “We see this as a new way of doing research,” says Gerbrand Ceder, “We need materials solutions for things like the climate crisis that we can build and deploy now, because we can’t wait – so we’re trying to break this cycle that is so slow by having machines that correct themselves.” We’re proud that the Aeris XRD features among the automated instruments in this autonomous lab. With its speed, reliability and ease of use, the Aeris is a crucial contributor to the lab’s capacity to process 50 to 100 times more samples per day than a human can ???? Learn more about the Aeris by visiting the product page!?? https://bit.ly/3Jgf8p7 #MalvernPanalytical #AdvancedMaterials #Automation #LawrenceBerkeley

Liquid handling workflow innovation creates wow effect. Hamilton Robotics created a veritable wow effect among genomics customers and partners at a recent product presentation. The reason is called Fluoreye?. The fluorescence detection module enables determination of the quantity of nucleic acid samples to be fully integrated into liquid handling workflows. Fluoreye? is a child of our Innovation Guild. The Innovation Guild works specifically on innovations that go beyond the scope of normal development contracts. It specifies the ideas down to the level of a functional model that verifies all aspects of feasibility in a product. Read for yourself how our Innovation Guild enables life science companies to develop groundbreaking new products quickly and with minimal project risks: Liquid handling workflow innovation creates wow effect https://bit.ly/4carmwt #HSEAG #LiquidHandling #Fluoreye

?? Meet Our Consortium Partner: PICVISA MACHINE VISION SYSTEMS SL Machine Vision Systems, S.L. ?? Today, we're excited to showcase PICVISA MACHINE VISION SYSTEMS SL, a key partner in the MoeBIOS project. As a leader in innovative machine vision and robotics sorting solutions, PICVISA brings cutting-edge technology to the forefront of waste management. ?? Role in MoeBIOS: In the MoeBIOS project, PICVISA MACHINE VISION SYSTEMS SL plays a crucial role in supervising and participating in the development and upscaling of technologies for sorting bioplastics in industrial environments. Their expertise is pivotal in advancing the project’s goals towards innovative recycling processes. ?? Expertise: PICVISA MACHINE VISION SYSTEMS SL specializes in providing sorting solutions equipped with advanced artificial intelligence, including machine learning and deep learning techniques. Their systems are adept at handling various types of waste, such as municipal solid waste, industrial and commercial waste, and more. ?? Involvement: PICVISA MACHINE VISION SYSTEMS SL’s responsibilities within the consortium include: Defining technologies and tools for evaluating the sorting of bioplastics.? Conducting upscaling studies and sorting simulations on pilot lines.? Providing waste managers with essential equipment specifications and technical information for implementing solutions developed in the project. ?? Team spotlight: Maryam Yuli Jorda: Innovation Manager with a background in industrial organization engineering.? Daniel Carrero Rubinat: Product Manager and Technical Director, bringing 20 years of experience in computer engineering.? Carles Musoll Anguiano: Specialist in computer vision solutions for sorting systems, with a PhD in Telecommunications Engineering. ?? Personal insight: What excites PICVISA MACHINE VISION SYSTEMS SL most about being part of the MoeBIOS project is the opportunity to enhance and develop new sorting technologies for bio-based materials. Being part of this innovative ecosystem allows them to push the boundaries of what's possible in recycling technology. ??? Impact: PICVISA MACHINE VISION SYSTEMS SL’s contributions are vital for demonstrating that innovative bioplastic recycling processes are not only technologically feasible but also economically viable and environmentally sustainable. Their expertise in sorting is essential for achieving the overall objectives of the MoeBIOS project. Stay tuned as we continue to explore the innovative contributions of our partners in the MoeBIOS project, each dedicated to advancing sustainable solutions in their fields! ??? #MoeBIOS #Sustainability #InnovationInRecycling #MachineVision #ArtificialIntelligence?