Nature can be a great way to boost one’s net worth, as the natural world is as much an inspiration in finance as it is in scientific pursuits.
Looking at finance through the biology lens offers a unique view on complex interactions between billions of people whose decisions put the economy in motion.
Why AI ethics can’t be an afterthought in finance. From flash crashes to algorithmic bias – how fintech companies can avoid catastrophic failures.
Discover why traditional equilibrium economics can’t predict recovery patterns and how nonequilibrium models outperformed Fed forecasts by analyzing agents.
COVID’s economic impact exceeds all pandemics in history. Explore why humans make economies unpredictable and what complexity theory reveals about recovery.
Alan Turing’s passion for sunflowers reveals mathematical connection linking the worlds of AI, biology and finance through mathematics.
The machines take care of the drudgery, leaving human intelligence to do what it does best – apply judgment to a clearly established set of relevant facts.
AI stock prediction breakthrough: Research teams achieve statistically significant return predictions. Deep learning vs traditional ML methods compared.
Byrum noted the potential risks and benefits of AI in financial services, and he suggested crafting sensible industry-specific rules for AI in asset management
Since AI is already used by investment managers to improve operations, investment strategy, & trading efficiency, the need to address AI policy is urgent.
