Unstructured active learning may be important for artificial intelligence; Adversarial attacks drive AI to the next level; Reliability issues for Facebook and Instagram; Identifying people - at a distance - by their heart beat; The first-ever photograph of quantum entanglement
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- A SEPARATE KIND OF INTELLIGENCE - Another talk in the edge.org "Possible Minds" series. In the linked video and transcript, Allison Gopnik talks about applying the concept of Life History to intelligence. In general, the theory of life history is a way to explain an organism's individual characteristics by its life-cycle characteristics like the duration of active parenting, number of offspring, lifespan, etc... This theory has been used to suggest explanation for things like the immune system, and Gopnik suggests that it may also be useful to explain intelligence. In particular, there are indications that organisms with longer childhoods have more intelligence. She extends this idea by suggesting that this knowledge may lead to useful insights in the realm of AI creation. As with previous Possible Minds posts, the talk is followed by a free-wheeling discussion among a number of panelists. This edge.org series has also been covered here:
- Science and technology micro-summaries for June 21, 2019 - Carolyn Jones
- Interesting Links: June 13, 2019 - Freeman Dyson
- Interesting Links: June 1, 2019 - Stephen Wolfram
- Interesting Links: May 17, 2019 - Rodney Brooks
- The Upside of Adversarial Attacks - Machine learning is vulnerable to disruption by specially crafted alterations to its data that don't require the attacker to have access to the machine. This form of attack, known as an adversarial attack, doesn't work on humans because humans are capable of higher order interpretation. The discovery of adversarial attacks shows that AI systems that do things from autonomous driving to facial recognition and health care diagnostics can all be misled by a hostile actor. The benefit of the discovery, however, is that these attacks can also be used to improve the AI algorithms in an iterative, co-evolutionary process.
- Facebook and Instagram are suffering from far more downtime than rival social networks - According to data from Downdetector, Facebook and Instagram have been going down more in the last year than they did in the past, and they have also been going down more than rival social media sites like Twitter and Snapchat. Facebook declined to comment on the outage data, but issued a generic statement that they work hard to maintain availability for their billions of world-wide subscribers.
- The Pentagon has a laser that can identify people from a distance—by their heartbeat - Gait detection and facial recognition have both been used to identify a person at a distance, but they don't uniquely identify an individual. Now the Pentagon says that they have a laser that can operate from up to 200 meters with 95% accuracy to identify a unique cardiac signature for a person. The signature can't be disguised, and remains stable over time. Researchers report that technology improvements will make it possible to increase both the distance and accuracy of the technique. Gait analysis was previously covered in Interesting Links: May 27, 2019, on Memorial Day. h/t Bruce Schneier.
- STEEM The First Ever Photograph Of Quantum Entanglement - In this post, @kralizec reports on an article in the journal, Science Advances describing the first time that researchers have photographed the phenomenon of quantum entanglement. The feat was accomplished by Paul-Antoine Moreau by shooting photons through a specialized material and capturing the image with ultra-high speed cameras that are capable of photographing a photon at the moment of entanglement. (@kralizec will receive 5% of the rewards from this post.)
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