Great curated list of videos:
— Artificial Intelligence is the New Electricity by Andrew Ng:
— Elon Musk Warnings About AI (Compilation
— 7 Days of Artificial Intelligence
— Artificial Intelligence: Mankind’s Last InventionGreat
— Can We Build AI Without Losing Control Over It? Read More
Monthly Archives: June 2019
New AI programming language goes beyond deep learning
A team of MIT researchers is making it easier for novices to get their feet wet with artificial intelligence, while also helping experts advance the field.
In a paper presented at the Programming Language Design and Implementation conference this week, the researchers describe a novel probabilistic-programming system named “Gen.” Users write models and algorithms from multiple fields where AI techniques are applied — such as computer vision, robotics, and statistics — without having to deal with equations or manually write high-performance code. Gen also lets expert researchers write sophisticated models and inference algorithms — used for prediction tasks — that were previously infeasible. Read More
A General-Purpose Probabilistic Programming System with Programmable Inference
Although probabilistic programming is widely used for some restricted classes of statistical models, existing systems lack the flexibility and efficiency needed for practical use with more challenging models arising in fields like computer vision and robotics. This paper introduces Gen, a generalpurpose probabilistic programming system that achieves modeling flexibility and inference efficiency via several novel language constructs: (i) the generative function interface for encapsulating probabilistic models; (ii) interoperable modeling languages that strike different flexibility/efficiency tradeoffs; (iii) combinators that exploit common patterns of conditional independence; and (iv) an inference library that empowers users to implement efficient inference algorithms at a high level of abstraction. We show that Gen outperforms state-of-the-art probabilistic programming systems, sometimes by multiple orders of magnitude, on diverse problems including object tracking, estimating 3D body pose from a depth image, and inferring the structure of a time series. Read More
Automation as a Mindset: “Building Down” in the 21st Century
Automation isn’t essentially about technology. It’s a mindset. Technologies are the toolkits with which we automate. In the end, “Building Down” means focusing less on climbing up what’s above you than on re-architecting and re-engineering what’s already in front of and below you so that you can do more with less.
In the digital era, the way we build organizations and grow as individuals, teams, and units within them is changing. In the past, we would build an organization that contains business units. It scaled upward and outward. People joined generally at the bottom of “the ladder” and, with hard work and time, they climbed up that ladder and took on more responsibility across the unit and/or organization.
A mindset shift is in order. Technologies like IoT and AI change what organizational growth and management* means. It’s no longer just about what people can do with other people. Neither is it instead about what people can do with machines. It’s about what people can do with people and with technology. Read More
Use Data Lakes to Bet on the Future of Artificial Intelligence
Artificial intelligence has moved far beyond the stuff of science fiction. And, for all the benefits AI provides today, we can only guess at what the future of artificial intelligence holds. To help ensure that they will be able to take advantage of any and all AI advancements, many companies are making use of data lakes.
Indeed, one of the single largest tech trends of the last five years has undoubtably been the mainstream adoption of artificial intelligence. Within just a few years time, artificial intelligence has gone from being relatively obscure to being used almost everywhere. In many ways, it reminds me of the way that cloud services suddenly gained mainstream acceptance a decade ago. All at once, software vendors collectively felt the need to rebrand their products to reflect cloud readiness. Today, the same thing is happening with AI.
As with cloud services, there are countless use cases for artificial intelligence. One of the main use cases that is driving adoption (at least, in a generic sense) is that artificial intelligence engines can sometimes be used to spot trends and derive meaningful insight from an organization’s existing data. The flip side to that idea, however, is that for the artificial intelligence engine to do its job, it needs access to raw data. There are obviously a number of different ways of making this data available for analysis, but one of the best options may be to create a data lake. Read More
Autonomous Navigation of MAVs in Unknown Cluttered Environments
This paper presents an autonomous navigation framework for reaching a goal in unknown 3D cluttered environments. The framework consists of three main components. First, a computationally efficient method for mapping the environment from the disparity measurements obtained from a depth sensor. Second, a stochastic method to generate a path to a given goal, taking into account field of view constraints on the space that is assumed to be safe for navigation. Third, a fast method for the online generation of motion plans, taking into account the robot’s dynamic constraints, model and environmental uncertainty and disturbances. To highlight the contribution with respect to the available literature, we provide a qualitative and quantitative comparison with state of the art methods for reaching a goal and for exploration in unknown environments, showing the superior performance of our approach. To illustrate the effectiveness of the proposed framework, we present experiments in multiple indoors and outdoors environments running the algorithm fully on board and in real-time, using a robotic platform based on the Intel Ready to Fly drone kit, which represents the implementation in the most frugal platform for navigation in unknown cluttered environments demonstrated to date. See video at https://youtu.be/Wq0e7vF6nZM. Read More
Detecting Photoshopped Faces by Scripting Photoshop
Most malicious photo manipulations are created using standard image editing tools, such as Adobe Photoshop. We present a method for detecting one very popular Photoshop manipulation – image warping applied to human faces –using a model trained entirely using fake images that were automatically generated by scripting Photoshop itself. We show that our model outperforms humans at the task of recognizing manipulated images, can predict the specific location of edits, and in some cases can be used to “undo”a manipulation to reconstruct the original, unedited image.We demonstrate that the system can be successfully applied to real, artist-created image manipulations. Read More
The neuroscience of imagination – Andrey Vyshedskiy
50 top digital influencers to follow in 2019 [Updated 06/2019 V.2]
Here’s a Fine List of 50 Top Global Digital Influencers to Follow on Twitter in 2019 [ranked by our home made algorithm]. This list is of course non exhaustive . Read More
How 5G, AI and IoT enable “Intelligent Connectivity”
Intelligent connectivity is a concept that foresees the combination of 5G, the Internet of Things and artificial intelligence as a means to accelerate technological development and enable new disruptive digital services. In the intelligent connectivity vision, the digital information collected by the machines, devices and sensors making up the Internet of Things is analysed and contextualised by AI technologies and presented to users in a more meaningful and useful way. This would both improve decision-making and allow delivery of personalised experiences to the users, resulting in a richer and more fulfilling interaction between people and the environment surrounding them.
As artificial intelligence becomes increasingly sophisticated thanks to advances in computing power, the education of data scientists and the availability of machine learning tools for creating advanced algorithms, the Internet of Things is getting closer to becoming a mainstream phenomenon. 5G represents the missing element to bring these technologies to new levels and enable the intelligent connectivity vision. The ultra-fast and ultra-low latency connectivity provided by 5G networks, combined with the huge amount of data collected by the Internet of Things and the contextualisation and decision-making capabilities of artificial intelligence technologies will enable new transformational capabilities in virtually every industry sector, potentially changing our society and the way we live and work. Read More
Rick's Cafe AI 