Yes, AI will take your job. Computers and robots will eliminate a lot of jobs in the coming decades. If your job can be automated, it will be. If given a choice, many people would rather do something else than their current work. That's why people pay money for lottery tickets.

Identifying the location of a disturbance and its magnitude is an important component for stable operation of power systems. We study the problem of localizing and estimating a disturbance in the interconnected power system. We take a model-free approach to this problem by using frequency data from generators. Specifically, we develop a logistic regression based method for localization and a linear regression based method for estimation of the magnitude of disturbance. Our model-free approach does not require the knowledge of system parameters such as inertia constants and topology, and is shown to achieve highly accurate localization and estimation performance even in the presence of measurement noise and missing data.

The term "Industrie 4.0" was coined seven years ago. Since then, the "fourth industrial revolution" has already taken shape and developed its own consistent themes. In this article, we will review 9 paramount trends of this revolution. Imagine that your factory is not only automated but all of its machines are interconnected digitally within one system. Such a "smart factory" enables you to monitor all the physical processes in real time and make effective decentralized decisions.

When the last of 807 Woolworths stores across the UK closed in January 2009, budget shoppers and pick and mix fans mourned the end of an era. The closure of one of the country's iconic retail chains showed that high street shops were struggling to keep up with the pace of change, and that even industry giants were not immune from disruption. History repeated itself earlier this year when major toy store Toys R Us became yet another casualty. Heralding the death of the high street seems somewhat severe, but it's clear that incumbent retailers are facing a monumental challenge. In the face of ecommerce behemoths, (and not just Amazon), retailers are increasingly becoming technology companies in their own right.

Which authors of this paper are endorsers? Disable MathJax (What is MathJax?)

Voodoo's factory in Brooklyn contains over 200 3-D printers. While budding entrepreneurs are full of ideas, they may not have the time or money to turn a clever design into a physical product. The process of creating and testing a single prototype can take months -- and then there's the matter of finding a factory to carry out large-scale production. The headache doesn't stop when the first boxes of a company's finished product finally arrive on its doorstep. Next it's time to worry about whether there's too much inventory, which will be difficult to shift, or too little to meet demand.

This space-optimized wrench was 3-D printed on the International Space Station. In the coming decades, humans will begin to colonize the "final frontier." Private rocket companies -- including Elon Musk's SpaceX and Jeff Bezos' Blue Origin -- are already building vehicles to ferry settlers to outer space. But what happens once these early colonists step off their ships and onto the hostile surface of Mars or the Moon? When history's pilgrims and pioneers arrived in a new territory, they used the land's natural resources to build their settlements.

Hybrid manufacturing (HM) technologies combine additive and subtractive manufacturing (AM/SM) capabilities, leveraging AM's strengths in fabricating complex geometries and SM's precision and quality to produce finished parts. We present a systematic approach to automated computer-aided process planning (CAPP) for HM that can identify nontrivial, qualitatively distinct, and cost-optimal combinations of AM/SM modalities. A multimodal HM process plan is represented by a finite Boolean expression of AM and SM manufacturing primitives, such that the expression evaluates to an'as-manufactured' artifact. We show that primitives that respect spatial constraints such as accessibility and collision avoidance may be constructed by solving inverse configuration space problems on the'as-designed' artifact and manufacturing instruments. The primitives generate a finite Boolean algebra (FBA) that enumerates the entire search space for planning. The FBA's canonical intersection terms (i.e., 'atoms') provide the complete domain decomposition to reframe manufacturability analysis and process planning into purely symbolic reasoning, once a subcollection of atoms is found to be interchangeable with the design target. We demonstrate the practical potency of our framework and its computational efficiency when applied to process planning of complex 3D parts with dramatically different AM and SM instruments. Keywords: 1. Introduction Hybrid Manufacturing, Process Planning, Spatial Reasoning, Additive Manufacturing, Machining Hybrid manufacturing (HM), combining the capabilities of additive and subtractive manufacturing, is the new frontier of part fabrication. While additive manufacturing (AM) continues to enable unprecedented levels of structural complexity and customization, subtractive manufacturing (SM) remains indispensable for producing highprecision, mission-critical, and reliable mechanical components with functional interfaces. Versatile'multitasking' machines with simultaneous high-axis computer numerical control (CNC) of multiple AM and SM instruments (e.g., deposition heads and cutting tools) keep emerging on the market, enabling efficient use-cases for fabrication and repair (reviewed in Section 1.1).

IBM today made a major announcement about new products and services aimed at helping alleviate the roadblocks to AI (artificial intelligence) adoption in the enterprise. It is only a beginning, but it's very interesting in the breadth and comprehensiveness of IBM's plan. On the infrastructure front, they announced enhancements to the AC922 Server, primarily be improved integration of NVIDIA V100 GPUs and NVLink for faster system communications. This server is for the heavy lifting, training of AI models and processing in HPC (High Performance Computing) systems. They also announced the LC921 and LC922 servers aimed at data intensive applications.

Year by year control of normal and emergency conditions of up-to-date power systems becomes an increasingly complicated problem. With the increasing complexity the existing control system of power system conditions which includes operative actions of the dispatcher and work of special automatic devices proves to be insufficiently effective more and more frequently, which raises risks of dangerous and emergency conditions in power systems. The paper is aimed at compensating for the shortcomings of man (a cognitive barrier, exposure to stresses and so on) and automatic devices by combining their strong points, i.e. the dispatcher's intelligence and the speed of automatic devices by virtue of development of the intelligent system "Artificial dispatcher" on the basis of deep machine learning technology. For realization of the system "Artificial dispatcher" in addition to deep learning it is planned to attract the game theory approaches to formalize work of the up-to-date power system as a game problem. The "gain" for "Artificial dispatcher" will consist in bringing in a power system in the normal steady-state or post-emergency conditions by means of the required control actions.