Daily Artificial Intelligence News Roundup #122

1. Current and Future State of AI and Machine Learning

AI – and machine learning in partcular – are set to have transformative effects on the way we work, learn and interact with others. In fact, in a recent 451 Research survey of enterprise tech decision makers, 97% of respondents believe AI will have between a slight and significant impact on society in the next two years, with 71% believing it to have a significant or moderate impact. In this webinar, Research Vice President Nick Patience of 451 Research will discuss the use cases, business benefits and barriers to adoption being felt by enterprises around the world, based on his most recent survey. Read More

2. AI Is Not ‘Magic Dust’ for Your Company, Says Google’s Cloud AI Boss

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3. [1811.04210] Densely Connected Attention Propagation for Reading Comprehension

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4. [1811.04364] A Survey of Mixed Data Clustering Algorithms

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5. [1811.04787] Mathematical Theory of Evidence Versus Evidence

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6. What is Hidden in the Hidden Markov Models? – Acing AI –

What is Hidden in the Hidden Markov Model.
Basics of Hidden Markov Models for Data Science Interviews

Hidden Markov Models or HMMs are the most common models used for dealing with temporal Data.

It means that the future state is related to the immediately previous state and not the states before that. Read More

7. sahandha/eif

Extended Isolation Forest

This is a simple package implementation for the Extended Isolation Forest method. It is an improvement on the original algorithm Isolation Forest which is described (among other places) in this paper for detecting anomalies and outliers from a data point distribution. For an N dimensional dataset, Extended Isolation Forest has N levels of extension, with 0 being identical to the case of standard Isolation Forest, and N-1 being the fully extended version. Read More

8. Nanobots propelled through eye tissue

12th November 2018

Nanobots propelled through eye tissue

For the first time, scientists have developed nano-scale vehicles that can move through dense tissue like the vitreous humour of the eye.

The researchers, led by the “Micro, Nano and Molecular Systems” Lab at the Max-Planck-Institute in Stuttgart, Germany, designed helical-shaped devices resembling tiny corkscrews.

Credit: Max-Planck-Institute for Intelligent Systems

“For the coating, we looked to nature for inspiration”, explains Zhiguang Wuw, now a postdoc at the California Institute of Technology. Read More

9. Accurate Online Speaker Diarization with Supervised Learning

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10. Artificial Intelligence is not a technology

From the early Greek myths of Hephaestus and his automatons to the Golem of Eastern European Jewish tradition to well over a hundred years of science fiction stories, novels and movies, our human imaginations have envisioned what it would be like to have sentient, intelligent, human-like machines co-exist with us.

Yet, with centuries of technology advancement and the almost exponential increase of computing resources, data, knowledge, and capabilities, we still have not yet achieved the vision of Artificial General Intelligence (AGI) — machines that can be an equal counterpart of human ability. We have cars that will happily drive straight into a wall if that’s what your GPS instructs it to do. Read More

11. 120: The Winograd test for commonsense reasoning is not as hard as we thought; Tencent learns to spot malware with AiDroid data;and what a million people think about the trolley problem

Want almost ten million images for machine learning.   Scale: Open Images V4 contains 9. They also implemented various systems to more effectively add the bounding boxes to different images, which required them to train human annotators in a technique called “fast clicking”. Read More

12. AI capable of outlining in a single chart information from thousands of scientific papers

NIMS and the Toyota Technological Institute at Chicago have jointly developed a Computer-Aided Material Design (CAMaD) system capable of extracting information related to fabrication processes and material structures and properties — factors vital to material design — and organizing and visualizing the relationship between them.

The performance of a material is determined by its properties. Because a material’s properties are greatly influenced by its structure and by the fabrication process that controls the structure, understanding the relationships between factors affecting material properties of interest and associated material structures and fabrication processes is vital to rationalizing and expediting the development of materials with desirable performance. Read More

13. Scaling Deep Learning on Kubernetes at OpenAI with Christopher Berner

We’ll be in touch as soon as the eBook is available.

Please help spread the word. Share this page with your friends and colleagues. Read More

14. Could AI make doctors obsolete?

Humans can complete this transformation because they can relate to the patient as a fellow person and can gain holistic knowledge of the patient’s illness as related to his or her life. Such knowledge involves ideals such as trust, respect, courage, and responsibility that are not easily accessible to machines. A deliberative patient-physician relationship characterised by associative and lateral thinking is important for healing, particularly for complex conditions and when there is a high risk of adverse effects, because individual patients’ preferences differ. Read More

15. Arm Leads Project to Develop an Armpit-Sniffing Plastic AI Chip

Body odor is a stubborn problem. The UK’s PlasticArmPit project is designing the first machine learning–enabled flexible plastic sensor chip. The team consists of: Arm, which designed the machine learning circuitry and developed tools that will make it easy for others to produce such designs; PragmatIC, which makes amorphous-oxide-based flexible electronics, NFC, and RFID chips and the systems to build them; the University of Manchester, which developed the plastic gas-sensing technology and a model of human smell perception; and Unilever, which lent its consumer-products expertise and its UK odor-testing lab. Read More

16. The British Army is carrying out a massive test of military robots and drones

The British Army is testing out over 70 new technologies, including unmanned vehicles and surveillance drones, in a four-week experiment on one of its biggest training grounds. Primarily it’s about reducing the danger to troops during combat, according to the UK’s Ministry of Defense (MoD). In a report published this month, a campaign group claims the department is “actively funding” work to create fully autonomous killer drones, in contradiction of official statements. Read More

17. A virtual assistant called Abbie is picking the best bonds for traders to buy or sell

A new version of a virtual assistant called Abbie can suggest the best bonds to buy or sell, taking into account pricing, ease of trading, and risk. The bot, built by asset managers AllianceBernstein Holding, scans millions of data points within seconds to find potential trades and suggest them to the company’s portfolio managers. The fixed-income market, which basically trades debt, is one of the most important elements of the global financial market. Read More

18. Using AI successfully: people are the key

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19. Douglas Rain, Voice of HAL 9000 In ‘2001: A Space Odyssey,’ Dies At 90 – Slashdot

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20. How to Teach Artificial Intelligence Some Common Sense

Five years ago, the coders at DeepMind, a London-based artificial intelligence company, watched excitedly as an AI taught itself to play a classic arcade game. They’d used the hot technique of the day, deep learning, on a seemingly whimsical task: mastering Breakout,1 the Atari game in which you bounce a ball at a wall of bricks, trying to make each one vanish. If we don’t, they warn, we’ll keep bumping up against the limits of deep learning, like visual-recognition systems that can be easily fooled by changing a few inputs, making a deep-learning model think a turtle is a gun. Read More