AI model uses quantum maths to learn like a human
Could the next big breakthrough in machine learning come from the world of finance?
Two hedge fund quants say they have built a machine learning model that — like humans — is able to learn broad ideas from small amounts of data.
Kharen Musaelian and Dario Villani – co-founders of artificial intelligence hedge fund Duality Group, and recipients of Risk’s 2016 Buy-side quants of the year award – say that by using the maths of quantum mechanics to encode data in a richer form, they have created a model with the capacity for abstraction and analogy that might unlock true quantum
Only users who have a paid subscription or are part of a corporate subscription are able to print or copy content.
To access these options, along with all other subscription benefits, please contact info@risk.net or view our subscription options here: http://subscriptions.risk.net/subscribe
You are currently unable to print this content. Please contact info@risk.net to find out more.
You are currently unable to copy this content. Please contact info@risk.net to find out more.
Copyright Infopro Digital Limited. All rights reserved.
You may share this content using our article tools. Printing this content is for the sole use of the Authorised User (named subscriber), as outlined in our terms and conditions - https://www.infopro-insight.com/terms-conditions/insight-subscriptions/
If you would like to purchase additional rights please email info@risk.net
Copyright Infopro Digital Limited. All rights reserved.
You may share this content using our article tools. Copying this content is for the sole use of the Authorised User (named subscriber), as outlined in our terms and conditions - https://www.infopro-insight.com/terms-conditions/insight-subscriptions/
If you would like to purchase additional rights please email info@risk.net
More on Investing
BMO’s cloud migration strategy eases AI adoption
Canadian bank is beginning to roll out GenAI tool for internal use cases
Execs can game sentiment engines, but can they fool LLMs?
Quants are firing up large language models to cut through corporate blather
How Man Group’s private credit arm keeps risk in check
Mid-market lending no place for weak covenants, flexible addbacks or payments in kind, says Varagon CEO
Nervous UK pension schemes want liquidity fixes – it’ll cost them
Asset managers are crafting new ways for schemes to raise cash in a crisis
Start-up trading venue aims to profit from SEC’s market shake-up
Equity market reforms affecting payment for order flow may encourage more challenges to incumbents
For a growing number of banks, synthetics are the real deal
More lenders want to use SRTs to offload credit risk, but old hands say they have a long road ahead
Victor Haghani’s maths proof that stock-pickers will hate
‘Risk matters hypothesis’ extends Bogle’s case for passive investing
Rethinking P&L attribution for options
A buy-side perspective on how to decompose the P&L of index options is presented
Most read
- SG trader dismissals shine spotlight on intraday limit controls
- Basel Committee reviewing design of liquidity ratios
- Too soon to say good riddance to banks’ public enemy number one