Daily Artificial Intelligence News Roundup #114

1. My thoughts are my password, because my brain reactions are unique

Your brain is an inexhaustible source of secure passwords – but you might not have to remember anything. Biometrics are starting to take their place, with fingerprints, facial recognition and retina scanning becoming common even in routine logins for computers, smartphones and other common devices.

They’re more secure because they’re harder to fake, but biometrics have a crucial vulnerability: A person only has one face, two retinas and 10 fingerprints. Read More

2. AI’s and algorithms still can’t beat humans in a fundamental analysis: Alex Frino

AI’s and algorithms still can’t beat humans in a fundamental analysis: Alex Frino

With waves of cognitive computing developments set to disrupt multiple industries, participants in capital markets are already expressing mixed responses to advancements in artificial intelligence (A) and related technologies.

In an email exchange between Venture Views and capital markets researcher Dr Frino, we discuss the role of cognitive technologies in the capital markets; the impact of automated trading systems in shaping market liquidity and the potential of the SGX-Nasdaq co-listing partnership, which creates an Asia-North America bridge for businesses. ”

In May 2018 the Singapore Exchange (SGX) forged an identical agreement with the Tel Aviv Stock Exchange (TASE). Read More

3. [1810.11545] Efficiently Combining Human Demonstrations and Interventions for Safe Training of Autonomous Systems in Real-Time

n/a Read More

4. [1810.11804] Robots Learning to Say `No’: Prohibition and Rejective Mechanisms in Acquisition of Linguistic Negation

n/a Read More

5. [1810.12118] Finding Answers from the Word of God: Domain Adaptation for Neural Networks in Biblical Question Answering

n/a Read More

6. Acoustic Detection of Humpback Whales Using a Convolutional Neural Network

Since the calls are frequency-modulated, we actually see arcs instead of bars, but parts of the arcs are close to horizontal. In a spectrogram it appears as horizontal lines, and early versions of the model would confuse it with humpback calls.

Aside from PCEN, averaging predictions over a longer period of time led to much better precision. Read More

7. 118: AirBnB splices neural net into its search engine; simulating robots that touch with UnrealROX; and how long it takes to build a quadcopter from scratch

Each of this phases has numerous discrete steps which are detailed in the report.

Amazon tries to make Alexa smarter via richer conversational data:…Who needs AI breakthroughs when you’ve got a BiLSTM, lots of data, and patience?…Amazon researchers are trying to give personal assistants like Alexa the ability to have long-term, conversations about specific topics. The industrialization of deep learning continues. Read More

8. Frontiers in Artificial Intelligence: advancing research that carries us into the future

— By Emma Overmaat

Artificial Intelligence (AI) is changing our world.

Frontiers in Artificial Intelligence provides a unified home for high-quality research in core and applied AI areas and features 8 specialty sections led by 12 prominent Chief Editors:

Artificial Intelligence: a force for good

Harnessing the power of new technologies for good is one of our key challenges and the potential of these advances as well as their application to the world’s most pressing problems is immense. Julita Vassileva, Professor of Computer Science, mentions the recent voter behavior manipulation on Facebook by Cambridge Analytica as an evocative example: “Such cases have attracted a lot of public attention and raised justified fears of the unbounded power of Big Data and AI. Read More

9. Chinese scientists develop 4D printed ceramics

n/a Read More

10. Milestones in Neural Natural Language Processing w/ Sebastian Ruder – Talk #195

https://twimlai. jpg

October 29, 2018October 29, 2018

In this episode, we’re joined by Sebastian Ruder, a PhD student studying natural language processing at the National University of Ireland and a Research Scientist at text analysis startup Aylien.

Subscribe: iTunes / Google Play / Spotify / RSS

In our conversation, Sebastian and I discuss recent milestones in neural NLP, including multi-task learning and pretrained language models. Read More

11. Can we predict when and where a crime will take place?

The new crime-fighting weapon of choice for a growing number of police forces around the world isn’t a gun, a taser or pepper spray – it’s data.

Tech firm PredPol – short for predictive policing – claims its data analytics algorithms can improve crime detection by 10-50% in some cities.

“PredPol was inspired by experiments run by the University of California in collaboration with the Los Angeles Police Department,” says PredPol co-founder and anthropology professor Jeff Brantingham. Read More

12. Mapping AI techniques to problem types

n/a Read More

13. Tapping AI to Keep Ships from Striking Endangered Whales | NVIDIA Blog

After centuries of steadily decimating the world’s whale populations, humans have taken significant steps to reverse their catastrophic impact.

One of the latest: an AI-powered project spearheaded by the Canadian government that aims to minimize collisions between ships and North Atlantic right whales, 50-foot-long creatures that got their name from early whalers for being the “right” ones to kill.

Planck Aerosystems, which makes autonomous drones for monitoring ships, ports and borders, was brought in to develop AI software that could help identify North Atlantic right whales within the data (still images and video) being collected by the UAS. Read More

14. AI can predict the structure of chemical compounds thousands of times faster than quantum chemistry

AI can help chemists crack the molecular structure of crystals much faster than traditional modelling methods, according to research published in Nature Communications on Monday.

Scientists from the Ecole Polytechnique Fédérale de Lausanne (EPFL), a research institute in Switzerland, have built a machine learning programme called SwiftML to predict how the atoms in molecules shift when exposed to a magnetic field. But the technique is not good enough to reveal the full chemical structure of molecules, especially complex ones that can contain thousands of different atoms. Read More