Four short links: 8 July 2015

Encrypted Databases, Product Management, Patenting Machine Learning, and Programming Ethics

  1. Zero Knowledge and Homomorphic Encryption (ZDNet) — coverage of a few startups working on providing databases that don’t need to decrypt the data they store and retrieve.
  2. How Not to Suck at Making ProductsNever confuse “category you’re in” with the “value you deliver.” Customers only care about the latter.
  3. Google Patenting Machine Learning Developments (Reddit) — I am afraid that Google has just started an arms race, which could do significant damage to academic research in machine learning. Now it’s likely that other companies using machine learning will rush to patent every research idea that was developed in part by their employees. We have all been in a prisoner’s dilemma situation, and Google just defected. Now researchers will guard their ideas much more combatively, given that it’s now fair game to patent these ideas, and big money is at stake.
  4. Machine Ethics (Nature) — machine learning ethics versus rule-driven ethics. Logic is the ideal choice for encoding machine ethics, argues Luís Moniz Pereira, a computer scientist at the Nova Laboratory for Computer Science and Informatics in Lisbon. “Logic is how we reason and come up with our ethical choices,” he says. I disagree with his premises.
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