-
External link for CuspAI
We’re thrilled to announce that we’ve been named one of Bloomberg's UK 'Startups to Watch'! 🎉 It’s an incredible honor to be recognised as one of the top 25 startups showcasing the diversity and innovation of the UK’s vibrant startup ecosystem. Bloomberg sought out fast-growing companies that are working on something truly unique — and we’re excited to be among them! This recognition comes just ahead of the Bloomberg Technology Summit in London today, where some of our team will be in attendance. It’s a true privilege to feature alongside inspiring companies such as Wayve, LabGenius, Cleo, Isometric, Basecamp Research, Arondite and many others. Read the full story and check out the complete list here: https://lnkd.in/evwaUij3 #startups #UKTech #Bloomberg
Heartfelt congratulations to Geoff on his Nobel Prize for his groundbreaking work in artificial neural networks! 🎉 As Ellen Moons, Chair of the Nobel Committee for Physics, stated: "The laureates’ work has already been of the greatest benefit. In physics we use artificial neural networks in a vast range of areas, such as developing new materials with specific properties." The CuspAI team is proud to build on Geoff's foundational work to develop next generation materials for a sustainable future. Thank you, Geoff, for your visionary contributions. #NobelPrize #ArtificialIntelligence #CuspTeam
BREAKING NEWS The Royal Swedish Academy of Sciences has decided to award the 2024 #NobelPrize in Physics to John J. Hopfield and Geoffrey E. Hinton “for foundational discoveries and inventions that enable machine learning with artificial neural networks.” This year’s two Nobel Prize laureates in physics have used tools from physics to develop methods that are the foundation of today’s powerful machine learning. John Hopfield created an associative memory that can store and reconstruct images and other types of patterns in data. Geoffrey Hinton invented a method that can autonomously find properties in data, and so perform tasks such as identifying specific elements in pictures. When we talk about artificial intelligence, we often mean machine learning using artificial neural networks. This technology was originally inspired by the structure of the brain. In an artificial neural network, the brain’s neurons are represented by nodes that have different values. These nodes influence each other through connections that can be likened to synapses and which can be made stronger or weaker. The network is trained, for example by developing stronger connections between nodes with simultaneously high values. This year’s laureates have conducted important work with artificial neural networks from the 1980s onward. John Hopfield invented a network that uses a method for saving and recreating patterns. We can imagine the nodes as pixels. The Hopfield network utilises physics that describes a material’s characteristics due to its atomic spin – a property that makes each atom a tiny magnet. The network as a whole is described in a manner equivalent to the energy in the spin system found in physics, and is trained by finding values for the connections between the nodes so that the saved images have low energy. When the Hopfield network is fed a distorted or incomplete image, it methodically works through the nodes and updates their values so the network’s energy falls. The network thus works stepwise to find the saved image that is most like the imperfect one it was fed with. Geoffrey Hinton used the Hopfield network as the foundation for a new network that uses a different method: the Boltzmann machine. This can learn to recognise characteristic elements in a given type of data. Hinton used tools from statistical physics, the science of systems built from many similar components. The machine is trained by feeding it examples that are very likely to arise when the machine is run. The Boltzmann machine can be used to classify images or create new examples of the type of pattern on which it was trained. Hinton has built upon this work, helping initiate the current explosive development of machine learning. Learn more Press release: https://bit.ly/4gCTwm9 Popular information: https://bit.ly/3Bnhr9d Advanced information: https://bit.ly/3TKk1MM
🌎 We are thrilled to announce that Dr Markus Hoffmann has joined the Cusp leadership team as our Chief Strategy Officer. Markus is a globally recognised leader at the intersection of deep tech and commercialisation - bringing over a decade of experience from Google, where he built and led deep strategic partnerships across industries. Markus will spearhead our commercial operations, helping us push the boundaries of technology while ensuring its real-world impact. We couldn’t be more excited to have Markus on board as we set out to tackle some of the world's most pressing issues! Please join us in giving him a warm welcome! Welcome to the team, Markus! #AI #Climate #Sustainability
We are excited to welcome Dr Felix Hanke as our new VP of Engineering. 🎉 As a distinguished researcher and engineer, Felix brings unparalleled experience in materials and molecular simulation, having spent his career building simulation platforms that have directly equipped hundreds of corporations across the energy, electronic, automotive, aerospace industries. Felix’s leadership will be instrumental in accelerating our AI-powered search engine for materials discovery. Together, we're pushing the boundaries of AI-enabled discovery and tackling some of the world's most pressing problems. Welcome to the team, Felix! #AI #MachineLearning #Climate
🚀 We're looking for ML Engineers to join our ambitious team led by Max Welling. If you're passionate about machine learning and want to make an impact, we'd love to hear from you! We're flexible on location, any of our Cambridge, Amsterdam or Berlin sites. #MLEngineering #Hiring #Climate
CuspAI reposted this
🌍🔬 Exciting insights from our exclusive interview with Max Welling, co-founder of CuspAI! 🚀 Discover how this groundbreaking venture is harnessing the power of AI to revolutionize materials discovery and combat climate change. 🌿 Key takeaways: ✅ Cusp.AI's cutting-edge 'search engine for materials' is accelerating the discovery of innovative, sustainable materials ✅ AI-driven materials discovery could transform industries, from carbon capture to clean energy production ✅ Collaboration between domain experts and AI specialists is crucial for tackling grand challenges ✅ Founders at the intersection of AI and climate should stay mission-driven and foster strong partnerships "Imagine a world where you can just search for materials with specific properties, and the AI will generate and optimize them for you." - Max Welling Read the full interview to explore how Cusp.AI is paving the way for a new era of AI-driven climate solutions and how you can be a part of this transformative journey. https://lnkd.in/g54waJry #AIforClimate #SustainableMaterials #ClimateAction #Entrepreneurship #FutureofMaterialsDiscovery
We're thrilled to announce that Prof. Berend Smit and Prof. Susana Garcia, two world-renowned experts in carbon capture, have joined the CuspAI team. Building on their seminal research featured in Nature last week, we're excited to be combining their deep domain knowledge with our AI engine to tackle some of society's most pressing challenges. Welcome to the team! 🌍 #AI #climatechange #chemistry #sustainability
We're excited to emerge from stealth and announce our $30M Seed financing round. A huge thank you to our incredible investor group including Hoxton Ventures, Basis Set, Lightspeed, Northzone, LocalGlobe, Touring Capital, Giant Ventures, FJ Labs, Zero Prime Ventures & Tiferes Ventures who all share and back our vision. We’ve set out on a mission to transform how materials are designed and developed using AI and, in the process, tackle some of society’s most critical challenges. We recognise that the need for such developments could not be greater and have assembled a world-class team motivated by this very fact. To further accelerate our impact, we're immensely grateful to have the support of Prof. Geoff Hinton who has joined our advisory board. We are also excited to announce our partnership with Yann LeCun and the Meta FAIR team to develop advanced materials for carbon capture - a critical piece of the climate puzzle. We're just getting started, but you can learn more about our work in the full press release on our site. #AI #machinelearning #climatechange #sustainability