This week, we begin with an article about location spoofing, the process of creating fake images that resemble real photos of real places, and how we can detect tampering geospatial data and create a geographical fact-checking system. Next, we have a piece on how Chinese fund managers are increasingly adopting machine learning (ML) and artificial intelligence (AI) to handle trading data and make stock selections. The following article explains why machine learning generated synthetic data can’t fully solve the problem of financial market data singularity. Following that, we have an article about a searchable database that is helping to decode the lost Minoan language. Next is a piece on the importance of data protection and how organizations can use it as a strategic asset. Finally, we have an article that discusses the challenges AI-enabled healthcare systems face in providing real-time insights into clinical workflow and gaining caregiver and patient acceptance.
Deepfake geography: Why fake satellite images are a growing problem
Research indicates that “deepfake geography,” or realistic but fake images of real places, could become a growing problem. For example, a fire in Central Park seems to appear as a smoke plume and a line of flames in a satellite image. In another, colorful lights on Diwali night in India, seen from space, seem to show widespread fireworks activity.
China fund managers rely on AI to manage trading data and pick stocks
Chinese fund managers, grappling with a rapidly-growing list of publicly-traded securities and mountains of data, are rapidly embracing machine learning and other types of artificial intelligence (AI) to boost efficiency and bolster returns. From using computers for analyzing news and research reports and crunching numbers to getting robots to pick stocks, the move comes as foreign players are expanding their footprint in China’s $3.4-trillion mutual fund industry.
Fake data can help backtesters, up to a point
Quant investors often complain they have only a single version of history against which to test their ideas. One way to get round the problem has been to make history up. Quants have done that for a long time already – using bootstrapping or Monte Carlo simulations to create alternative time series data for the backtests they run.
How a Searchable Database is Helping Decipher a Lost Language
There was once a flourishing civilization on the island of Crete called the Minoan culture (3000–11100 B.C.). Two languages are associated with it, Minoan A and, later, Minoan B. Minoan B was deciphered but Minoan A has remained a mystery that has “tormented linguists for many decades,” as Patricia Klaus puts it. Deciphering it would give us a window back as far as 1800 BC.
Moving toward zero trust: Protecting data as a strategic asset
The National Security Agency recently released its Embracing a Zero Trust Security Model, reinforcing several design principles of zero trust. Two of these principles are especially apt in light of the latest supply chain hacks: “Breach is inevitable or has likely already occurred” and a “deny by default security policy.”
AI in healthcare: The tech is here, the users are not
Since the beginning of the year, there has been a significant uptick across health plans, healthcare providers, and analytics firms utilizing AI to change how healthcare is delivered and how patients can be more engaged in their care.
Source: https://mailchi.mp/zigram/data-asset-weekly-dispatch_24_may_2
