In den Medien
Inside IT: Innosuisse supports Latticeflow with 3 million dollars
The D-INFK spin-off has received funding from the Swiss Innovation Agency to further advance the development of its AI governance platform.
Horizont: A specialist is better than an all-rounder
Caplena, a leading Swiss AI company and D-INFK spin-off, specialises in the analysis of open feedback in questionnaires from B2C companies. The platform has been using AI algorithms for coding and analysing sentiment in the feedback since 2016.
Quanta Magazine: Computer scientists establish the best way to traverse a graph
Dijkstra’s algorithm was long thought to be the most efficient way to find a graph’s best routes. Researchers have now proved that it’s “universally optimal.” With quotes from Bernhard Häupler from our department and D-INFK alumnus Václav Rozhoň.
Cybernews: None of big AI models meet EU regulatory standards, analysis shows
Out of 12 leading large language models, OpenAI's GPT-4 Turbo comes closest to meeting the EU's AI rules, but still falls short of full compliance, according to a new study conducted by experts from ETH Zurich, the Bulgarian AI research institute INSAIT - established in partnership with ETH and EPFL - and ETH spin-off LatticeFlow AI.
Bilanz: Die Robojuristen
ETH D-INFK spin-off Deepjudge has developed an AI solution for law firms to find and reuse information in internal documents.
AACR Journals: Nobel-winning AI advances are transforming cancer research
The Nobel Prize in Physics was awarded to two scientists whose work has enabled computers to think more like the human brain does, paving the way for advances in artificial intelligence (AI). “Machine learning and AI is contributing at every step of cancer treatment and prevention,” says our Professor Valentina Boeva, who is co-organizing a special conference on artificial intelligence, planned for July 2025 and sponsored by the American Association for Cancer Research.
Silicon Canals: KPMG Switzerland and LatticeFlow AI partner to accelerate AI risk assessments and commpliance for enterprises
“There’s a critical gap in the AI market for comprehensive technical AI risk assessments. Governance processes alone are insufficient to meet AI standards and regulations – companies need deeper analysis to ensure their models are reliable and compliant. This makes technical assessments an essential prerequisite for mitigating AI risks and demonstrating conformance with emerging regulations,” said Dr. Petar Tsankov, CEO and Co-Founder of ETH/D-INFK spin-offLatticeFlow AI.
RTS La 1ère, La Matinale: Further education programs on AI are booming
Artificial intelligence is making a comeback at ETH Zurich, with new continuing education courses designed to prepare leaders for the digital future and AI. One of the aims is to prevent a gap from opening up in society. (Prof. Bernd Gärtner)
Sky News: Superfast algorithm rewrites network flow rules
Simon Meierhans, Maximilian Probst Gutenberg, Prof. Rasmus Kyng
NZZ: ETH to launch one of the world's most advanced AI supercomputers
On Saturday 14 September 2024, ETH Zurich launched its new supercomputer called Alps in Lugano. Switzerland now has one of the fastest computers in the world and a machine optimised for artificial intelligence like no other. (Prof. Torsten Hoefler, CSCS)