#MachineLearning and #ArtificialIntelligence are revolutionising the online world. They are capable of reducing costs, analysing data, recognising patterns and trends we can’t see with the human eye and making real- time decisions. Now, they are being used to help prevent financial fraud and they’re learning how to do it better every day.
Machine learning and artificial intelligence are revolutionising the online world. They are capable of reducing costs, analysing data, recognising patterns and trends we can’t see with the human eye and making real-time decisions. Now, they are being used to help prevent financial fraud and they’re learning how to do it better every day.
Currently it is estimated that cybercrime costs the global economy approximately $600 billion, with one of the most common forms being credit card fraud which has grown considerably with the increase in the online market. As more and more people chose to transact online it is becoming increasingly important for financial services to invest in better, faster and more accurate fraud detection and prevention techniques.
How our data helps protect us
Thanks to there being such a large amount of online transactions, this means that there is a huge amount of customer data available which can be studied and learnt by AI. They can learn how to identify valid credit card behavioural patterns and how to detect irregular behaviour which could be fraudulent.
How do you separate carbon dioxide from carbon monoxide? One way, showcased by a new study from Kanazawa University, is to use a bowl of vanadium. More precisely, a hollow, spherical cluster of vanadate molecules can discriminate between CO and CO 2, allowing potential uses in CO 2 storage and capture.
At the molecular scale, small objects can fit inside larger ones, just like in the everyday world. The resulting arrangements, known as host-guest interactions, are stabilized by non-covalent forces like electrostatics and hydrogen bonds. Each host will happily take in certain molecules, while shutting out others, depending on the size of its entrance and how much interior space it can offer the guest.
Anion structures of CH 2 Cl 2 (guest)-inserted V12 (left) and guest-free V12 are shown. Orange and red square pyramids represent VO 5 units with their bases directed to the center of the bowl, and the inverted VO 5 unit. Green and black spheres represent Cl and C, respectively. Hydrogen atoms of CH 2 Cl 2 are omitted for clarity. (Image: Kanazawa University)
That all sounds great. And software is supposed to improve every industry. But when it comes to health care, it leaves one important question unanswered: Why aren’t we getting any healthier?
Venture investors are chasing breakout successes in digital health, but those investment dollars aren’t making people healthier.
