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#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

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 CH2Cl2(Guest)-Inserted V12 and Guest-Free V12

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)

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WATCH: President Rodrigo Duterte’s discussion with DICT Acting Secretary Eliseo Rio, Jr. during the situation briefing on the aftermath of Typhoon Usman.

Pres. Duterte strongly supports the Department’s projects and does not want any of these to receive any injuction or TRO in any court. He also wants to make sure that there is no corruption involved in any of the DICT projects.

Video clipped from Radio and Television Malacañang (RTVM) FB page.

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University of New South Wales researchers at the Centre of Excellence for Quantum Computation and Communication Technology (CQC2T) have shown for the first time that they can build atomic precision qubits in a 3D device — another major step towards a universal quantum computer.

The team of researchers, led by 2018 Australian of the Year and Director of CQC2T Professor Michelle Simmons, have demonstrated that they can extend their atomic qubit fabrication technique to multiple layers of a silicon crystal — achieving a critical component of the 3D chip architecture that they introduced to the world in 2015. This new research was published today in Nature Nanotechnology (“Spin read-out in atomic qubits in an all-epitaxial three-dimensional transistor”).

Professor Michelle Simmons and Joris Keizer, UNSW Sydney

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