Company Updates

We're excited to launch our Financial Forecasting Challenge. Take part in our Data Science challenge by accurately forecasting financial returns in our data set - for a chance to win $30,000: http://glassdoor.com/slink.htm?key=vQgII #datascience #machinelearning #artificialintelligence #ai
—30+ days ago
Financial Forecasting Challenge - G-Research
Can you predict the future? G-Research has launched what we hope will be an interesting and fun forecasting task to provide you with a flavour of one of the types of problem we work on. We'd like you to predict y (an element of the return of a financial data series) from a number of features we'll supply you with.
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We’re thrilled to announce that we’ll be hosting the London Machine Learning NeurIPS Meetup 2019!

Register to attend:
12th December 2019: http://glassdoor.com/slink.htm?key=vML8d
14th December 2019: http://glassdoor.com/slink.htm?key=vML89
—3 days ago
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Can we trust AI if we don't know how it works?
David Stern, one of our Quantitative Research Managers was recently featured in an article by the BBC: http://glassdoor.com/slink.htm?key=vQpvn
—30+ days ago
Can we trust AI if we don't know how it works?
We're at an unprecedented point in human history where artificially intelligent machines could soon be making decisions that affect many aspects of our lives. But what if we don't know how they reached their decisions? Would it matter? Imagine being refused health insurance - but when you ask why, the company simply blames its risk assessment algorithm.
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G-Research are excited to announce that we have partnered with The Institution of Engineering and Technology (IET) and ITN Productions to produce a programme about the importance of investment into engineering and technology: http://glassdoor.com/slink.htm?key=vQYk3
—30+ days ago
G-Research: A programme in partnership with the IET and ITN Productions
G-Research are excited to announce that we have partnered with the Institution of Engineering and Technology (IET) and ITN Productions to produce a programme about the importance of investment into engineering and technology.
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Listen to our free podcast of Scott Aaronson's lecture on 'Quantum Computing and the limits of the Efficiently Computable' hosted in London last week: http://glassdoor.com/slink.htm?key=vQCE1
—30+ days ago
GResearch-Presents-ScottAaronson by G-Research
What if a new type of computer existed which, in seconds, could solve problems that take today's fastest supercomputers years? This, in a nutshell, is the compelling premise of quantum computing, and the 'what if?' which has propelled computer scientist and former MIT professor Scott Aaronson throughout his exceptional academic career.
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