Topic

Data Science

Der Mythos der Juristen: Für Standardisierung zu individuell – Interview mit Professor Breidenbach Teil I

Anlässlich der Veröffentlichung des „Rechtshandbuch Legal Tech“, erschienen im C.H. Beck Verlag, waren wir im Gespräch mit Professor Breidenbach. Ausgehend von seinem Buchkapitel „Industrialisierung des Rechts“ entwickelte sich eine lebhafte Diskussion zum „Möglichkeitsraum Legal Tech“.

The idalab seminars: our contribution to the AI discussion

For a while now, starting in March 2016, you have received information about the idalab seminars via our newsletter, Twitter, Linkedin or our Blog. For those who have never heard, or never attended – and always wondered – we want to take a brief moment to present to you what idalab seminars are all about, where we want to go with them and how we’d like you to be involved.

How to achieve maximum office happiness: Turning the allocation of office seats into an integer programming problem

The allocation of office seats can be tackled with either elbows, consideration and compromise – or the skills of a Data Scientist. Naturally, at idalab, we treated finding the perfect seating order as a mathematical optimisation problem. We are quite proud of the result. May we present to you what we’re fondly calling: The Optimum Happiness Distribution Project.

Legal Tech: Wie wird die Digitalisierung des Rechts vonstattengehen? Noch haben wir die Wahl!

Nach der Kommunikationsbranche, der Wirtschaft und der Industrie hat die Digitalisierung mittlerweile unverkennbar auch das Recht erreicht. Dass diese Entwicklung nicht mehr aufzuhalten ist, bestreitet eigentlich keiner. Unklar ist, was genau passieren wird und wie lange es dauern könnte bis was auch immer, in welcher Form auch immer, eintritt.

idalab seminar #6: ‘Lean’ Training Data: An Incremental Approach to Supervised Machine Learning.

On December 1st 2017, idalab seminar #6 will take place, hosting a talk by Jeremiah Lewis and Edouard Malet from N26.

The missing link – Will Microsoft’s far-sighted ELL project inspire the IoT era?

When Microsoft presented their new project ELL, the Embedded Learning Library, to the public at the end of June 2017, the media echo failed to acknowledge its groundbreaking potential. Only a few tech-focused news sites referred to the press release and the related github project. This rather underwhelming public attention is not the result of a misguided project decision at Microsoft, but the exact opposite.

Data Trails No. 5 – Snapshots from the history of data visualisation

The Earth is roughly four and a half billion years old. During most of that time—i.e. over the course of some four billion years—the geological and biological development on our planet happened unbelievably slow. How can we possibly form even a faint idea of this unimaginable process that is the history of the Earth?

The Power of Text

If one desires the excitement of taking public transportation on a frequent basis, one observation is common through the bench: almost everyone is on the smartphone, checking apps, social media and the news. As “texting” has become so common in our lives, the importance of “text” has steadily increased. Understanding text in all its dimensions is also the basis for conversational AI.

Why to be sceptical about the rise of AI startups

Barely a week passes without the announcement of yet another (seed) funding round for a startup, which claims to utilize “artificial intelligence”, “deep learning”, “machine learning” or “proprietary algorithms”. Algorithms, it seems, are at the core of almost all ventures these days – is that really the case?