What do you say if somebody asks you what the algorithm is doing with your data? How does it learn? What is it looking at and why? Defensible use of …
Kangaroo Court: Supervised Learning Algorithms for Litigation Read More »
When it comes to innovation, there is often too much to do and too little time to act. Across sectors, companies are experiencing a significant rise in demand for innovative …
The promise of quantum computers is that certain computational tasks might be executed exponentially faster on a quantum processor than on a classical processor. Quantum computing is a beautiful fusion …
Kangaroo Court: Quantum Computing – Thinking on the Future Read More »
For the past few years, McKinsey has conducted a global survey to better understand the AI initiatives pursued by different industry sectors and job functions. This year’s online survey garnered …
K. Anders Ericsson was a Swedish psychologist who spent much of his academic career researching the psychological nature of expertise and human performance. He studied expertise across a variety of …
For every stakeholder, AI should feel simple. If it does not feel simple, then there are likely problems somewhere in the delivery. This could be issues with communication, challenges to …
The next decade will witness the introduction of AI regulation at both the Federal and State level. Much of this regulation will focus on the use of autonomous and self-driving …
Kangaroo Court: AI Regulation and Image Classification Read More »
Never has a robust information governance solution been more important than today. The explosion in new and varied form of data has long required a more sophisticated approach to understanding …
The past five years have witnessed a steady growth in both the testing and application of AI solutions for both legal ops and litigation teams. Whilst many of these applications …
In March 2016, Lee Sedol, the Korean Go 18-time world champion, played and lost a five-game match against DeepMind’s AlphaGo, a Go-playing program that used deep learning networks to evaluate …
Why We Should Pay More Attention to Deep Learning Read More »
