The semiconductor startup Synthara develops next-level AI chips for the edge – combining high performance with energy efficiency.
Quantastica shapes the future of computing by generating and optimizing quantum algorithms tailored to specific use cases.
Circuit Mind assists electrical engineers in designing circuits matching the requirements within minutes instead of months.
Quantum Brilliance: Shaping the Future of Room-Temperature Quantum Computing Quantum computers promise to perform certain computations much more efficiently than classical computers – and the global race to build and harness their powers has just begun. However, approaches like superconducting or ion trap quantum computers need extreme cooling or advanced laster systems to operate, making … Read more
LGN builds the world’s first continuous learning loop for edge AI applications: the open-source, cloud-native framework “Neuroform.”
Quantistry: Shaping the Future of Computational Chemistry Materials underpin eras of human evolution: From Stone Age to Bronze Age – to pushing the capabilities of solar cells, batteries, and chemical synthesis and catalysis nowadays. On a fundamental level, materials and their constituents are governed by the equations of quantum mechanics that need to be solved … Read more
Vaxine.io: Shaping the Future of Collaborative Applications Do you notice lag when collaborating online with colleagues around the world? You’re not alone! As the future of work moves increasingly remote and users and colleagues spread out worldwide, apps and database systems are being challenged to support collaboration in real-time with low latency across continents and … Read more
HQS: Shaping the Future of Quantum Chemistry Whether it’s batteries, fuel cells, or solar cells – optimizing materials properties for particular applications is unpinning much of technological progress. However, on a fundamental level, this means solving the equations of quantum mechanics. While quantum chemistry has developed a plethora of methods for this over time, classical … Read more
Qdrant: Shaping the Future of Neural Search & Metric Learning Have you ever used Google’s image search? Instead of searching for keywords, you upload an actual image, and the algorithm finds similar images – based on a machine learning algorithm called vector similarity search. It is one example algorithm for neural search: using deep neural … Read more