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The Next Big Influencer Is This 4-Foot-Tall Robot From China

WIRED

The Unitree G1 has found online fame as a relatively affordable robot that can charm a crowd. But can it ever hold down a real job? When Edward Warchocki speaks with you, he sounds like a regular guy. "Not super intelligent, but very emotional, very easy to make friends with," says Bartosz Idzik, the person who created him. But when he doesn't talk, it's harder to forget what Warchocki really is: a 4-foot-tall humanoid robot that's wandering the city streets of Poland.


How forensics identified forgotten teen left buried in a carpet for eight years

BBC News

Karen Price was just 15 when she vanished in 1981 and, had it not been for a chance discovery by two builders, her body might never have been found. Because no-one was looking for her. Dubbed Little Miss Nobody, Karen had not been seen for eight years when her skeletal remains, wrapped in a carpet, were uncovered by two unsuspecting builders in Cardiff city centre on 7 December 1989. Her body, found in a shallow grave outside a basement flat on Fitzhamon Embankment, was so badly decomposed it was impossible to establish the cause of her death. Now, more than 40 years on and after the release of her killer, a new documentary has examined how police put together the jigsaw to solve the killing of a teenager known to no-one and how it involved groundbreaking methods to bring two men to justice.


367

AI Magazine

See Toward the Principled Enganeering of Knowledge. Expert Systems: Where are we? And where do we go from here? Feigenbaum, Edward A, See Signal-to-symbol transformation: HASP/SIAP case study. Research in Progress Vol IV, No. 4, p. 58, Winter, 1983 THE AI MAGAZINE Spring 1984 83 K Minsky, Marvin Why People Think Computers Can't.


akron-school-officials-talking-drone-trying-lure-kids-playground-2600277

International Business Times

Akron Public Schools officials have issued warnings to parents about a suspicious drone flying near township schools and playgrounds that is attempting to lure kids away. "Witnesses have claimed that the voice in the drone has attempted to lure children off school grounds," she wrote in the letter obtained by the Beacon-Journal. Akron Public Schools spokesman Mark Williamson reiterated that the drone was seen or reported in evenings and over the weekend, but has not been present during school hours. Akron Police spokesman Rick Edwards said local law enforcement has not received complaints about the suspicious drone speaking to children near school grounds.


Deep Probabilistic Programming

arXiv.org Machine Learning

We propose Edward, a Turing-complete probabilistic programming language. Edward defines two compositional representations---random variables and inference. By treating inference as a first class citizen, on a par with modeling, we show that probabilistic programming can be as flexible and computationally efficient as traditional deep learning. For flexibility, Edward makes it easy to fit the same model using a variety of composable inference methods, ranging from point estimation to variational inference to MCMC. In addition, Edward can reuse the modeling representation as part of inference, facilitating the design of rich variational models and generative adversarial networks. For efficiency, Edward is integrated into TensorFlow, providing significant speedups over existing probabilistic systems. For example, we show on a benchmark logistic regression task that Edward is at least 35x faster than Stan and 6x faster than PyMC3. Further, Edward incurs no runtime overhead: it is as fast as handwritten TensorFlow.


Edward: A library for probabilistic modeling, inference, and criticism

arXiv.org Machine Learning

Probabilistic modeling is a powerful approach for analyzing empirical information. We describe Edward, a library for probabilistic modeling. Edward's design reflects an iterative process pioneered by George Box: build a model of a phenomenon, make inferences about the model given data, and criticize the model's fit to the data. Edward supports a broad class of probabilistic models, efficient algorithms for inference, and many techniques for model criticism. The library builds on top of TensorFlow to support distributed training and hardware such as GPUs. Edward enables the development of complex probabilistic models and their algorithms at a massive scale.


KNOWLEDGE ENGINEERING The Applied Side of Artificial!ntelligence by Edward A. Feigenbaum

AI Classics

The Most Important Gain: New Knowledge 18 10 Problems of Knowledge Engineering 19 10.1 The Lack of Adequate and Appropriate Hardware 19 10.2 Lack of Cumulation of Al Methods and Techniques 19 10.3 Shortage of Trained Knowledge Engineers 20 10.4 The Problem of Knowledge Acquisition 21 10.5 The Development Gap 21 11 Acknowledgments 22 1 1 Introduction: Symbolic Computation and Inference This paper will discuss the applied artificial intelligence work that is sometimes called "knowledge engineering". The work is based on computer programs that do symbolic manipulations and symbolic inference, not calculation. The programs I will discuss do essentially no numerical calculation. They discover qualitative lines-of-reasoning leading to solutions to problems stated symbolically.


COMPUTERS THOUGHT

AI Classics

The editors have provided him with special introductory sections as a ing guide to a thorough understand of the reports.


The Prom: An Example of Socially-Oriented Gameplay

AAAI Conferences

The Prom is a game where the player manages the social life of a group of high school students and creates the situations from which dramatic, thought provoking or at least funny stories can unfold. The setting of The Prom involves a group of alternative high school kids (e.g. Emos, Goths, Geeks, etc.) and their dramatic lives as they prepare for the upcoming school prom. Through creating friendships, making people become enemies, controlling who gets to be in the "in" crowd and much more, the player can shape the social world of the characters. Each character has a distinct personality represented by interests (e.g. what bands they like), needs (e.g. a character may need to demonstrate a certain degree of dominance over others), traits (e.g. being a particularly jealous person), social networks (e.g. to what degree a characters like, are attracted to or respect one another) and social status (e.g. who is dating who).The social artificial intelligence system Comme il Faut ( CiF ) drives this gameplay experience by simulating per character needs and traits, social statuses, social networks, social history and most importantly to gameplay, the outcomes and effects of social games. CiF is a playable computational model of social interactions designed specifically to allow autonomous characters to play social games. By giving player controls to navigate a social, rather than physical, space, The Prom is being created to demonstrate how CiF and social games can create a practically limitless numbers of possibly compelling stories and gameplay.