Here are the hottest stories from the world of AI and Data Science over the past week.
Uk based autonomous driving start-up raises $20M.
Wayve is developing artificial intelligence (AI) that teaches cars to drive autonomously using reinforcement learning, simulation, and computer vision. Recently they have raised $20 million in a series A round of funding led by Palo Alto venture capital (VC) firm Eclipse Ventures.
Founded out of Cambridge, U.K., in 2017, Wayve’s core premise is that the big breakthrough in self-driving cars will come from better AI brains rather than more sensors or “hand-coded” rules. The company said that it trains its autonomous driving system using simulated environments and then transfers that knowledge into the real world, where it emulates how humans adapt to conditions in real time.
Swiss researchers use AI to predict lightning strikes.
Using standard meteorological data and machine learning, the researchers came up with a relatively simple and cheap system that can predict lightning strikes down to the nearest 10 to 30 minutes inside a 30-kilometer radius (about 18.6 miles). To do this, the team trained their machine-learning algorithm to recognize weather conditions that typically lead to lightning. Specifically, they used four variables, including air pressure at station level, air temperature, relative humidity and wind speed.
The researchers hope to use their new model as a tool in the European Laser Lightning Rod project, an attempt to build a new type of lightning protection.
Nasdaq announce AI initiative aiming to strengthen market surveillance
Unveiled solely on the US market, it is hoped that the program can aid in the detection of irregular and potentially malicious trading activity.
“The U.S. capital markets are the largest, most liquid financial ecosystem in the world and protecting our markets for retail and institutional investors alike is an important responsibility,” said Martina Rejsjo, Vice President and Head of Market Surveillance, North America Equities, Nasdaq.
The project is a three-party collaboration with Nasdaq’s Market Technology business, its Machine Intelligence Lab and its U.S. market surveillance unit, together, creating machine learning technology for trade surveillance patterns.
AI system predicts seizures with 99.6% accuracy
According to the World health organisation, there are roughly 50 million people worldwide suffering from epilepsy and although the technology is not yet ready for widespread use it is most definitely a massive and life changing breakthrough for patients with epilepsy.
Current detection models analyze brain activity and then apply a predictive model afterwards. However, this new AI system is able to do both of those things at the same time through a deep learning algorithm.
AI project aims to preserve people's voices
Recently opened in the US, the centre is aimed at preserving and re-creating people’s voices using artificial intelligence
Researchers say the venture – a joint effort between Northeastern University in Boston and the company VocaliD – could play an important role in maintaining a sense of identity among those with conditions ranging from throat cancer to motor neurone disease, by offering them the chance to sound like themselves even after self-generated speech has become impossible.