Microtech Ventures

???Advancements in Sensor Technology to Counter Hypersonic Threats??? A recent article from?“Design World”?highlights the critical role of advanced?sensor systems?in defending against emerging?hypersonic missile threats. (?? Read more: https://lnkd.in/gHkNjz7h) ???Key Insights: ???Comprehensive Sensor Integration?– Hypersonic defense requires a network of?optical sensors and radar systems?to detect and track fast-moving threats accurately. ????Space-Based Sensor Deployment?– Sensors in orbit enhance?early detection capabilities, providing?continuous monitoring?and a broader field of view. ??Real-Time Data Processing?– Advanced AI-driven data processing enables?rapid analysis of sensor inputs, allowing for?faster decision-making. ???Implications for defense strategies: ??Enhanced Threat Detection?– A multi-sensor approach improves the ability to?identify and monitor hypersonic missiles, strengthening national security. ???Improved Response Times?– Real-time data fusion ensures?quick reaction times, increasing the effectiveness of?interception systems. ????Technological Innovation?– Investments in?next-gen sensors?drive?cutting-edge advancements, ensuring adaptable and resilient defense infrastructures. ????Advancing sensor technology is essential to counter the growing hypersonic threat and safeguard strategic defense capabilities. #DefenseTechnology #HypersonicThreats #SensorInnovation #NationalSecurity ?????? MEMS Journal, Inc. Mike Pinelis, Ph.D. Jessica Ingram Helen Queen Sulzer Northrop Grumman Center for Strategic and International Studies (CSIS) Gregory Teitelbaum Brandon Gabriel Nolan Lee Andy Paradise Mark Scheitler Tanner Boyack Steven Kim Brian Patton Alan Lytle, PhD Amanda Walsh Kate Mauss Kenneth Brown Daniel Ross Brenda Temple Jondavid Black Brandon Santos omid amani Tom Wilson Sheniqua Brown, PhD Rommel Laureta Lindsay McEwen Stacie Briles Juan Salgado Wendy Williams Hannah Scherer Koshish Poojary Roshan Roeder Darrin Franks Ann Addison Peter Wilson jean marie szakovits Neil Prior Jaynesh Patel Gabriel Kuhn

??? MEMS Based Method Enhances Railway Track Monitoring!?????? A recent study published in?“Scientific Reports”?introduces a novel approach to measuring track irregularities using multiple MEMS accelerometers, significantly advancing railway safety and maintenance. (?? Read more: https://lnkd.in/dtfnvTgV) ???Key Highlights: ???High-Precision Monitoring?– Achieves enhanced accuracy in detecting track irregularities, crucial for maintaining dynamic safety in high-speed and heavy-haul railways. ???Cost-Effective Implementation?– Utilizes MEMS accelerometers for a more affordable solution compared to traditional monitoring systems. ???Real-Time Data Acquisition?– Enables continuous, real-time monitoring for prompt identification and rectification of track issues. ???Implications for the railway industry: ??Enhanced Safety?– Improved detection of track irregularities reduces the risk of accidents. ???Efficient Maintenance?– Real-time data facilitates proactive maintenance strategies, optimizing resources and minimizing downtime. ???Scalability?– Cost-effectiveness and precision make it suitable for large-scale implementation across railway networks. ???This advancement underscores the pivotal role of innovative sensor technologies in modernizing infrastructure monitoring and ensuring the safety and efficiency of rail transportation systems. #RailwaySafety #MEMSTechnology #InfrastructureMonitoring #TransportationInnovation ?????? MEMS Journal, Inc. Mike Pinelis, Ph.D. Jessica Ingram Helen Queen Sulzer Dalian Jiaotong University China Academy of Railway Sciences Lin Li shijie Jia Ruiqi (Iris) Mu Zhang Meizhen Yun Zhai Wei Ma Chengliang Liu Ren Hua Sunzhe Cao Wenqiao (Kelly) Sun Ge Guo Weijie Wang jiyong liu Ying Wang Di Sun Minghao Zhang Zhenhua Wu Xin Jiang Sitao Le wang hao dapeng yang Yun Zhai Shen Gongyou Shi Chunyuan Mohammad Azam lijie bai Weijie Wang Dwi Erine Jinzi Zheng jiyong liu wang hao liangwei lou Pengcheng Wang Longlong WANG

?????Revolutionizing Orthodontics with Wireless, Drift-Free Iontronic Sensors!????? Exciting new research published in?“Science Advances”?(https://lnkd.in/d9rcW4KE) introduces a?breakthrough in orthodontic monitoring -- wireless, polyelectrolyte-based iontronic sensors?that provide?real-time, drift-free data on oral health and treatment progress. ???Key Innovations in the Study ????? Wireless & Non-Invasive?– These sensors can be embedded in?orthodontic appliances?to continuously monitor dental forces and oral conditions?without external power sources. ???? High Sensitivity & Stability?– Unlike traditional sensors, this system resists?signal drift?and maintains?long-term accuracy?in the challenging oral environment. ????? Polyelectrolyte-Based Design?– A?soft, biocompatible material?enhances comfort and seamlessly integrates with existing dental structures. ????? Real-Time Data Tracking?– Enables?continuous monitoring of orthodontic forces, improving treatment efficiency and patient outcomes. ???What This Means for the Future of Dental Tech ??Smart orthodontics?– Precise, real-time monitoring of dental forces to optimize treatments ??Better patient experience?– Minimizing discomfort and improving treatment predictability ??Long-term dental health insights?– Early detection of issues like excessive force or misalignment ??Broad medical applications?– Potential for?wearable biosensors?in other healthcare fields ???This innovation could transform orthodontic care -- moving us toward a future where dental treatments are not only smarter but also more?responsive, efficient, and personalized. ???Let’s connect!?What are your thoughts on the role of smart sensors in healthcare and dental innovation? Drop a comment below! ??? #Orthodontics #MedTech #Innovation #DentalTechnology #SmartHealthcare #WearableSensors #ScienceAdvances ?? MEMS Journal, Inc. Mike Pinelis, Ph.D. Jessica Ingram Helen Queen Sulzer Southern University of Science and Technology Zelong Liao Kai Li Leilei Tian Bin Tang Xiaojiang Xie Yunjie Ma Weishu Liu Xin TANG Zhen Zhang Yuqun Zhang Yuxin Ma Guosong Zeng Ali Hassan Qihang Liu Hongqiang Wang Fengwei Zhang Yanan Dai Zhenzhong Jia Jiefei Chen Jing Xu Yinqian Zhang Jiamin Li Guangfu Luo Daifeng (David) Li Tong Pan Zhenyu Xu Zhongrui Wang Shafiq Ur Rehman Yuan Zeng Dr. Rusan Kumar Barik Yonggang Pei Li Tangle Shao Yan Zhou Kaicheng Huang Shengyi Ye

???Zero Point Motion Raises $4M to Advance Optical Motion Sensing??? Zero Point Motion, a UK-based startup, has secured?$4 million in seed funding?to accelerate the?development and commercialization of its optical gyroscope technology. Partnering with?u-blox, this innovation aims to set new standards in?motion sensing for autonomous systems and IoT applications. (Read more: https://lnkd.in/g_UeyqP6) ???Breakthrough Technology: ??? Developing a?high-precision optical gyroscope?that outperforms?traditional MEMS sensors?in?accuracy, stability, and drift reduction. ???Strategic Partnership: ?? Collaborating with?u-blox?to integrate this?next-gen motion sensing?technology into?positioning modules?for?autonomous vehicles, drones, and industrial automation. ???Growth & Expansion: ?? The funding will be used to?scale product development, expand the engineering team, and prepare for mass production?within the next two years. This investment highlights the?growing importance of precision motion sensing?in?next-gen mobility, robotics, and IoT, positioning?Zero Point Motion and u-blox?as?leaders in the space. #MotionSensing #OpticalGyroscope #AutonomousVehicles #Drones #IndustrialAutomation #StartupFunding #uBlox #ZeroPointMotion #IoT #Innovation MEMS Journal, Inc. Mike Pinelis, Ph.D. Jessica Ingram Helen Queen Sulzer Foresight Group Verve Ventures Lia Li Andreas Thiel u-blox Chris Wiles John Williams Thecla Horton Haichen Zhou Joe King Burgess David Payne Sergejs L. Rajeev Dattani Joshua Hill Chris Wiles Gordon Aspin Adina Burian Jani Kappi Duarte Dias Alessandro Biason Luigi De Santis Venki El Tullio Musa Georgios Vrettos Khaled Nsaibia Stelios Papaharalabos Shadman Razzaq Siddiqui Jamerson Chen Mukul Bandodkar Giovanna Di Maria Camel Guo Sebastian Carre?o Miika Ihonen Kris Lafko Marco Zavatta

Swedish high-tech company?Mycronic?has expanded its?semiconductor testing capabilities?by acquiring?Hprobe, a Grenoble-based firm specializing in?high-speed magnetic testing?of?Magnetoresistive Random Access Memories (MRAMs)?and?magnetic sensors. This acquisition strengthens Mycronic’s position in?advanced semiconductor testing solutions. (Read more: https://lnkd.in/gEkXySmW) ???About Hprobe: ?? Founded in?2017, Hprobe employs?14 staff members?and reported?€4 million in sales?in 2024. The company is a leader in?MRAM testing, offering?high-speed magnetic field generation?for next-gen semiconductor applications. ???Strategic Fit: ??? Mycronic has identified?wafer and semiconductor testing?as a?key expansion area. Hprobe’s?unique magnetic testing technology?provides a?competitive edge?in MRAM validation, aligning with?Mycronic’s long-term growth strategy. ???Growth Opportunities: ?? The acquisition positions Mycronic to?expand into emerging sectors, including?artificial intelligence (AI), virtual reality (VR), augmented reality (AR), and automotive technology, where?advanced semiconductor testing is in high demand. This acquisition reflects?Mycronic’s commitment to strengthening its semiconductor technology portfolio, enhancing its?capabilities in the fast-growing MRAM market, and positioning itself for?future innovations. #Mycronic #Hprobe #SemiconductorTesting #MRAM #TechnologyAcquisition #AI #VR #AR #AutomotiveIndustry #TechExpansion MEMS Journal, Inc. Mike Pinelis, Ph.D. Jessica Ingram Helen Queen Sulzer Magnus Marthinsson Sven Chetkovich Alain DELPY Siamak Salimy Nicolas Scremin Daniel Montag Anthony Bussiere Louis Loquai Antoine Chavent Nedved SIM?O Dan Grout Cinnie Huang Tien DANG NGOC Caroline REVET-SERVETTAZ Alain Jarre Brice Blanc Eric Montredon Gilles ZAHND Steven Lequeux Limin Zhou Elisa Weidlertz Daniel Schneider Jun Yamauchi Arjen Koppens Per Hult Erik Lidberg Susanne Thomsen Jenny Ek Adrell Wanko Komsalov Jeff Leal Sven Chetkovich Romain ROUX Anthony Bradbury Rickard Westberg

???Exciting News: We’re Heading to HighTech Venture Days Boston 2025!?? We are thrilled to announce our participation as sponsor in?HighTech Venture Days Boston 2025 (https://lnkd.in/ghd5r8Yh), one of the premier?deep-tech investment events?connecting cutting-edge startups with global investors! ???? ????? Location:?Boston, MA, USA ????? Dates:?April 7-8, 2025 ????? Focus:?Bringing together top?deep-tech startups and global investors?to accelerate innovation and growth ???Why We’re Excited to Join ??Exclusive access?to top-tier deep-tech startups, investors, and corporate partners ??Strategic matchmaking?between breakthrough startups and strategic capital ??High-impact networking?with leaders in?AI, semiconductors, robotics, quantum computing, clean energy, and more! ??M&A and fundraising insights?to drive the next wave of transformative deals This event is a?must-attend?for anyone shaping the future of deep-tech in the U.S. and beyond! ?? ???Are you attending? Let’s connect!?We’d love to discuss?M&A opportunities, investment strategies, and industry trends. ?? Drop a comment below or?email me at?[email protected] to schedule a meeting! Looking forward to engaging discussions and new collaborations in Boston. #HighTechVentureDays #HTVD2025 #DeepTech #Startups #VentureCapital #MergersAndAcquisitions #Innovation #BostonTech ???? MEMS Journal, Inc. Mike Pinelis, Ph.D. Jessica Ingram Helen Queen Sulzer Alexander Tietze Sophia Glas Urla Z?hr Mareen R?sch Annemarie Weder Kohen Rich HTVD | HIGHTECH VENTURE DAYS

???Silent Speech Recognition: AI-Powered Wearable Sensors??? A new study in?“Nature Communications”?unveils a?machine learning-assisted wearable sensor system?that detects?facial muscle movements?to enable?silent speech recognition -- a potential game-changer for?assistive communication and human-computer interaction. (Read more: https://lnkd.in/gTpuvrWN) ???AI-Powered Recognition: ?? Uses?machine learning?to?interpret facial muscle movements?and accurately recognize?silent speech patterns?in real-time. ???Wearable Sensors: ?? Ultra-thin, skin-friendly sensors?attach directly to the face, capturing?subtle muscle signals for?non-verbal communication. ???Transformative Applications: ??? Helps individuals with?speech impairments, enables?covert communication, and enhances?next-gen human-computer interaction. This innovation?redefines communication, offering new possibilities for?healthcare, accessibility, and AI-driven interfaces. ???Read the full study:?AI Wearables for Silent Speech Recognition https://lnkd.in/gTpuvrWN #AI #WearableTech #SpeechRecognition #MachineLearning #AssistiveTech #HumanComputerInteraction #Innovation MEMS Journal, Inc. Mike Pinelis, Ph.D. Jessica Ingram Helen Queen Sulzer Chongqing University Tao Liu Zhihao Li Xiaojing Mu Kun Li Yubin Huang Feng Zhu Hao Yi Biao Zhang Huaiju Liu Xia Zn Zhouyang Ren Jianyu Pan Justus Byebirooha Yongjie Luo Le HAN Shaobo Lu Jia Zhou DU Weitao Shilun Chen Samavia Jaan Leon Huang Xinzheng Zhang Yue Qiu Yingyan Yu Hong HUANG River Huang Xiaoming Zhang Wei Lin Fusheng Pan Zhigang Zhang Huanran WU Ying Cheng Xuefeng He Jianyu Pan Hao Yi

???A New Leap in Optical Technology: Smarter, More Efficient Micromirrors??? A recent study in?“Microsystems & Nanoengineering”?introduces a?next-generation micromirror array?that enables?precise light control?for?communications, imaging, and advanced optics. This breakthrough could enhance everything from?smart displays to high-speed internet and LIDAR systems. (Read more: https://lnkd.in/gZjPVvmg) ???Sharper Performance: ?? The system moves with?exceptional precision, adjusting light angles and focus with incredible accuracy. ???Built-in Intelligence: ???Embedded sensors?provide?real-time feedback, ensuring more?reliable and stable performance. ??Energy Efficient: ?? Runs on?low power, making it ideal for?portable and high-tech optical applications. This advancement is a?big step forward?in?optical communications, imaging, and adaptive optics, helping power the future of?AI, smart devices, and next-gen technology. ???Read the full study:?Smarter, More Efficient Micromirrors https://lnkd.in/gZjPVvmg #OpticalTech #SmartMirrors #Innovation #AI #Photonics #NextGenTech #FutureOfLight #TechBreakthrough MEMS Journal, Inc. Mike Pinelis, Ph.D. Jessica Ingram Helen Queen Sulzer Beijing Institute of Technology Ziyue Zhang Huikai Xie Shuailong Zhang Zhongxiang SHEN JK (Jiankun) SHAO Lingling Shi Dongdong Zheng Xiaosong Hu（胡晓松）Arvin Sohrabi Mian Liang Leo Ligthart Helei Liu, Ph.D, Zezhou Li Boxuan Zhao Donghai Tian Xiaopeng Yang Xin Wang Fan Li Jiyu He Houmin Li Le Zheng Zhanwei Liu Boxuan Zhao Jun Ke zhang yu Hao LIU Kashif Sharif Rui Zhu Andrew Situmorang Wei Jiang Donghai Tian Zezhou Li Yue Ma Zhaojing Luo Yang Gao

???Infinite Uptime Secures $35M Series C to Transform AI-Driven Factory Maintenance??? Infinite Uptime, a?leader in predictive maintenance solutions, has raised?$35 million in Series C funding, led by?Avataar Ventures, with backing from?StepStone Group, LGVP, Tiger Global, and GSR Ventures. This investment will?accelerate AI-driven factory optimization?and?expand global operations. (Read more: https://lnkd.in/gaQMQiCs) ????Innovative Technology: ?? Uses?piezoelectric sensors?and?AI-powered analytics?to monitor?equipment health and provide?real-time diagnostics?for predictive maintenance. ???Global Reach: ?? Operating in?800+ plants across nearly 30 countries, serving industries like?steel, cement, mining, chemicals, and paper. ???Proven Impact: ? Saved?74,000+ hours?of?downtime?for clients, driving?5-10% increases in productivity, energy efficiency, and safety compliance. ???Strategic Expansion: ?? Plans to?grow its U.S. presence, enhance?AI-driven R&D, and explore?M&A opportunities?to accelerate industrial innovation. Infinite Uptime is?reshaping factory maintenance?with AI,?reducing downtime, optimizing performance, and setting new standards for Industry 4.0. ???Read the full story:?Infinite Uptime Secures $35M https://lnkd.in/gaQMQiCs #AI #PredictiveMaintenance #Manufacturing #Industry40 #TechInnovation #InfiniteUptime #IndustrialAI MEMS Journal, Inc. Mike Pinelis, Ph.D. Jessica Ingram Helen Queen Sulzer Raunak Bhinge Bhagyashree Gour Kuldeep Rane Shabbir Alam Adinath Sarwade PARAMESWARA Y Amar Joshi Laxman Sapkal Mayank Mishra Raj Ratan Saleem Khan, PhD Pradeep Saaripalli Hari prasad Bade Suyash Patwardhan Jagadish Prasad Aritra Majumdar Sambhunath Patra Md Sadique Hussain AMIT BHANUSHALI Prabal Meshram Er.Prakash Mishra Kalyan Meduri Sanjeev Kumar Hariprasad Bade Santosh Kumar Rupendra reddy Jyoti Shinde Manoj kumar Sahoo Harshada Joshi Raman Saxena Dheeraj Desale Hritik Mishra lalit Joshi

???AI-Powered Technology for Earthquake Detection!??? A new study in?“Scientific Reports”?introduces a?transformer-based real-time framework?for?earthquake detection, leveraging?deep learning?to enhance?accuracy and speed?in seismology. This innovation could revolutionize?natural disaster monitoring and response. (Read more: https://lnkd.in/g4PBn4E7) ???Deep Learning Integration: ?? Uses?transformer models?to analyze seismic data with?higher precision, reducing false alarms and improving detection reliability. ??Real-Time Processing: ?? Capable of?instantaneous earthquake detection, enabling?faster response times?and?better emergency preparedness. ???Enhanced Performance: ?? Outperforms?traditional seismological methods, demonstrating?superior accuracy and robustness?in detecting seismic activity. This research underscores the?transformative potential of AI in seismology, opening doors for?smarter, faster, and more efficient earthquake detection systems. ???Read the full study here:?Transformer-Based Real-Time Earthquake Detection Framework https://lnkd.in/g4PBn4E7 #EarthquakeDetection #Seismology #AI #MachineLearning #TransformerModels #DeepLearning #NaturalDisasters #Innovation #Research #TechForGood MEMS Journal, Inc. Mike Pinelis, Ph.D. Jessica Ingram Helen Queen Sulzer Kyungpook National University Irshad Khan Young-Woo Kwon Tan-No Nguyen Jonghoo Park Ahsan Ali Maqusud alam Khadija Ashraf Jisu Kwon CHAN HO PARK Yongtae Kim Myunglae JO Jiyong Woo Sanghun Choi Hak Yi Patrick Joohyun Kim Im Jung Sangjo Choi Dongjun Suh Wonil Chung Safi Ahmed Kiduk Yang Sheikh Faisal Ahmad Dr. Priyamjeet Deka Won Sik Shin Anjana Vijayan Pansoo Kim vikas palakonda Jaewoo Chung Hyungseok Nam Vineet Singh Brendon Pearson Elise W. SEO (Kyungpook National University, KNU) Iftikhar Ahmad SangDong Kim Ishani Dissanayake