Rise of AI Summit 2020
| title | author | length |
|---|---|---|
| Welcome and Introduction to the Rise of AI Summit 2020 | Daniel Finger | 07m |
Welcome remarks outline a pivot to a hybrid, TV-style event claiming a successful studio mode livestream with a tiny in-house audience of about 10 people in a… | ||
| The Next Decade of AI | Fabian Westerheide | 30m |
Claims that AI is in a renaissance driven by old ideas plus data and compute, with AlphaGo 2016 turning point and a shift from hype to execution where only… | ||
| The Global AI Landscape | Hans Uszkoreit | 32m |
Compares Chinese, American and European strengths and argues Europe should pursue a two‑pronged strategy: exploit enterprise AI and manufacturing while… | ||
| Now that AI Is Here, What Do We Do with It | Chris Boos | 27m |
Claims rapid adoption is imminent, not theoretical: 80% of current tasks automatable with today’s tech, RPA is just brittle scripts while AI finds individual… | ||
| Germany's Strategy for AI | Dorothee Bär | 25m |
Germany commits €5 billion by 2025 to scale AI, raising the plan from €3B and earmarking €2 billion for computing infrastructure including high-performance and… | ||
| AI Strategies | Adrian Locher | 35m |
Merantix reports five AI startups to date, a 100‑person team, a €25M fund backed by US institutional investors and a 5,000 m² campus for 450 people opening… | ||
| The JEDI Deepfake Grand Challenge & frontiers in AI for our societies | André Loesekrug-Pietri | 32m |
Announces the JEDI Deepfake Grand Challenge that funds teams to build real‑time deepfake detectors judged by a strict metric: 99% detection in less time than… | ||
| Ethics of algorithms - from theoretical discussion to practical application | Peter Seeberg, Prof. Dr. Markus Gabriel, Carla Hustedt, Dr. Andreas Dewes, Hiltrud Dorothea Werner | 31m |
Panel argues concrete steps: require informed consent and right to explanation when automated systems make decisions; give oversight bodies access to code and… | ||
| Challenges of the German AI ecosystem | Vanessa Cann | 27m |
Germany has strong academic research (ranked second) and a big industrial base (fourth by GDP) but fails to turn research into products because spin-offs… | ||
| The Age of AI in 2030 | Daniel Jeffries | 31m |
Predicts a near-decade where AI becomes the user interface and an industry stack like linux for AI unchains models from Big Tech via an “AI infrastructure… | ||
| Combining Privacy and AI | Thomas Strottner | 21m |
Brighter AI presents a deep‑learning anonymization that replaces faces and license plates in camera feeds with realistic synthetic objects so companies can… | ||
| A paper tiger aiming for the moon. Can Germany make AI? | Aljoscha Burchardt, Mario Brandenburg | 39m |
A policy‑research conversation argues Germany should force platform APIs to platforms for vetted researchers and journalists (access via NGOs, not state… | ||
| An European perspective on a regulatory framework for AI/ Big Data/ ML | Damian Boeselager | 30m |
Argues for a single EU regulatory framework to avoid national fragmentation and protect the digital single market, proposes a high-risk/low-risk classification… | ||
| The Berlin AI ecosystem | Charlotte Seiler | 17m |
Berlin reports a concrete ecosystem: 220+ AI companies in the region and ~30% of German AI firms located across Berlin‑Brandenburg. Core application areas are… | ||
| AI Regulation in Europe - what's in the pipeline? | Ursula Feindor-Schmidt | 33m |
European regulators propose a definition of AI as human‑designed software that perceives environments from structured or unstructured data, reasons and acts to… | ||
| HumAInity Innovation Challenge Finals 2020 | Daniel Hjelte, Elin Wallberg, Nima Ghorbani | 53m |
Four finalists present concrete products and results: a digital coach that reports 18% stress reduction in 30 days and now runs a multivariate Bayesian model… | ||
| Military AI in Europe - not smart enough? | Ulrike Franke | 31m |
Europe already fields AI for ISR video triage, predictive maintenance on Rafale jets and logistics; testbeds include Germany’s crisis‑forecasting project, the… | ||
| AI Strategy beyond the AI Race: Winners, Losers, and the Countervailing Move | Jesse Lehrke | 29m |
Argues that current national and corporate plans just chase a zero-sum “AI race” and instead prescribes concrete design decisions today: embed uncertainty… | ||
| Quantum Computing and ML dream team or just the next hype? | Claudia Pohlink | 30m |
Deutsche Telekom R D starts a two year push into quantum computing and quantum secure communications, focusing on optimization use cases implemented on a… | ||
| Scaling AI - Creating value with the application of AI | Andreas Liebl | 29m |
Sixty percent of companies that invest in AI report minimal or no impact and of organizations that experiment with AI only about 40% see any business gain, so… | ||
| AI Business Models & Trends | Rasmus Rothe | 29m |
Merantix incubates AI ventures like Vara (medical imaging), CeeSearch (data management) and new firms Kausa and Cambrian and plans ten more over four years… | ||
| Roadmapping a Successful AI journey: From Grassroots to Board Rooms | Christian Guttmann | 39m |
Outlines eight practical checkpoints from grassroots prototypes to board-level strategy, arguing that companies must measure proofs of value not POCs, hire top… | ||
| How to successfully implement AI in manufacturing | Thibault de Assi | 31m |
Manufacturing deployments combine Simatic S7 controllers, industrial PCs and cloud tools Mindsphere and Mendix with on-premise edge devices and an edge… | ||
| How you could start with your Journey to AI | Dilek Sezgün | 21m |
Claims AI drives a $16 trillion economic opportunity and yet only about 15% of companies extract value while roughly 80% of data remains locked. The stack… | ||
| Trustworthy AI for the Physical World | Ulli Waltinger | 29m |
Siemens AI Lab frames industrial ML as deployment problems not research puzzles, reporting lab work on robustness, explainability and continuous learning… | ||
| How AI and Deep Learning could effort the Climate Change | Florin Manaila | 29m |
Proposes a practical system that measures per-job power and converts it to CO2 using grid and renewables data, integrates with the workload manager, and… | ||
| AI computing power in Edge Industry use cases | Evgeniy Vlasov | 26m |
Huawei’s Atlas edge stack ships actual hardware and software: Atlas 200: half‑credit‑card, 8W inference module, Atlas 500 with Wi‑Fi/LTE and passive cooling… | ||
| The scaling laws of AI Why neural networks continue to grow | Adam Grzywaczewski | 26m |
Scaling laws show that bigger models plus bigger datasets reliably improve performance: examples include transformer families trained on billions of tokens and… | ||
| KI Park - AI can improve our lives. We are working on it | Oliver Salzmann, Alexander Rinke, Rupprecht Rittweger | 31m |
KI Park is a nonprofit building an applied-AI ecosystem: a self-service open data innovation platform with 5 million registered users, 12,000 startups (700… | ||
| The democratization of technology a world where anyone can use a robot | Simon Haddadin | 36m |
A Germany-made AI-enabled robot system combines high-density mechatronics, a browser IDE and a cloud store (Franka World) so teams download robot apps or teach… | ||
| Closing Words Rise of AI Summit 2020 | Fabian Westerheide | 14m |
Organizers convert a planned physical conference into a hybrid livestream that reaches 1,700+ registrants across multiple channels, keeps production… | ||
| The Future of VC - How the Industry Gets Disrupted | Christian Nagel | 28m |
Claims that the venture value chain modernizes with a machine learning engine that web crawlers across 100+ sources (GitHub, Product Hunt, company registries… | ||
| How to build a stock market money printing machine with AI | Raul Glavan | 30m |
Claims a live AI trading system that reports 94% accuracy and a 150% net return year to date with a 2.3% max drawdown on a third‑party monitored forex account… | ||
| Trustworthy AI - opening up the black box | Prof. Dr. Beril Sirmacek | 30m |
AI decisions power credit, hiring and medical care but hide errors: adversarial noise flips labels and a wolf vs husky model reports 99.9% accuracy fooled by… | ||
| AI Solutions | Jasper Masemann | 02h 25m |
Ten German AI companies demonstrate concrete products and results: mirantix labs acts as an external machine learning department for bespoke NLP, vision and… | ||
| nothing matches | ||