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.

Inspired by our bodies' sensory capabilities, researchers at the Harvard John A. Paulson School of Engineering and Applied Sciences and the Wyss Institute for Biologically Inspired Engineering have developed a platform for creating soft robots with embedded sensors that can sense movement, pressure, touch, and even temperature. The research is published in Advanced Materials. "Our research represents a foundational advance in soft robotics," said Ryan Truby, first author of the paper and recent Ph.D. graduate at SEAS. "Our manufacturing platform enables complex sensing motifs to be easily integrated into soft robotic systems." Integrating sensors within soft robots has been difficult in part because most sensors, such as those used in traditional electronics, are rigid. To address this challenge, the researchers developed an organic ionic liquid-based conductive ink that can be 3D printed within the soft elastomer matrices that comprise most soft robots.

While Moog has been making significant process improvements to reduce this workload, Professor Rai at University at Buffalo, part of the SUNY System, has been mastering the art of image recognition using artificial intelligence. Thanks to funding from the UB New York State Center of Excellence in Materials Informatics (CMI), Moog engineers and Professor Rai were able to apply convolutional neural networks to metal additively manufactured parts. The result is a highly trained computer algorithm that can recognize high-quality additive manufactured parts and reject the lower quality ones. The above diagram describes this algorithm and a sample resultant image from this work. This large image has been reconstructed from 144 sub-images that were individually evaluated and colored by the computer algorithm.

We are on the verge of transforming one of society's most fundamental building blocks: manufacturing. As new technologies enable manufacturers to customize everything, these same agents are quickly turning consumers into inventors. Following the agricultural revolution some 5,000 years ago, humanity made a huge breakthrough that allowed complex societies to flourish: we specialized. It made no sense for each of us to make all our everyday products and bear the cost of necessary building equipment. So soon enough, we had our neighborhood shoemaker, carpenter, silversmith, and tailor.

This incredible 3D-printed home was built by a robot in just 48 hours. Constructed using a special quick-drying mortar, the building is the first of its kind because it can be deconstructed and reassembled at a different location. The one-story home, which has been described as a'milestone' for 3D printing construction, covers 100 square meters (1,075 square feet) and features curved walls, a living area, bedroom, kitchen and bathroom. The Italian architects behind the project said it is just a proof-of-concept for now, and did not disclose how much it cost to build. They added that the house could one day be printed on the moon to house lunar colonies.