Joe Hogan, Align Technology's plastics-nerd CEO, says you shouldn't eat with your aligners and that you don't need to wear your retainers every night. Joe Hogan sees a lot of smiles. When people ask him where he works, he responds with "Align Technology," which inevitably prompts the follow up, "What's that?" After months, sometimes years, the discrete rival to braces promises to give people smiles they will want to show off. Hogan gets a look at them all. And he's eager to see more. Align is embarking on its biggest manufacturing overhaul since it was founded by two Stanford Graduate School of Business classmates 29 years ago. The company is preparing to begin directly 3D printing the aligners at the core of its business, ditching what Hogan describes as a longer, more wasteful process that involves making molds. A successful transition could lower costs and make treatment more affordable in the long run, bringing Invisalign to more customers and boosting Align's profits. It also, according to Hogan, would entrench Align as the world's biggest user of 3D printers .

Part qualification is crucial in additive manufacturing (AM) because it ensures that additively manufactured parts can be consistently produced and reliably used in critical applications. Part qualification aims at verifying that an additively manufactured part meets performance requirements; therefore, predicting the complex stress-strain behaviors of additively manufactured parts is critical. We develop a dynamic time warping (DTW)-transfer learning (TL) framework for additive manufacturing part qualification by transferring knowledge of the stress-strain behaviors of additively manufactured low-cost polymers to metals. Specifically, the framework employs DTW to select a polymer dataset as the source domain that is the most relevant to the target metal dataset. Using a long short-term memory (LSTM) model, four source polymers (i.e., Nylon, PLA, CF-ABS, and Resin) and three target metals (i.e., AlSi10Mg, Ti6Al4V, and carbon steel) that are fabricated by different AM techniques are utilized to demonstrate the effectiveness of the DTW-TL framework. Experimental results show that the DTW-TL framework identifies the closest match between polymers and metals to select one single polymer dataset as the source domain. The DTW-TL model achieves the lowest mean absolute percentage error of 12.41% and highest coefficient of determination of 0.96 when three metals are used as the target domain, respectively, outperforming the vanilla LSTM model without TL as well as the TL model pre-trained on four polymer datasets as the source domain.

Abstract-- Robotics and automation are key enablers to increase throughput in ongoing conservation efforts across various threatened ecosystems. Cataloguing, digitisation, husbandry, and similar activities require the ability to interact with delicate, fragile samples without damaging them. Additionally, learning-based solutions to these tasks require the ability to safely acquire data to train manipulation policies through, e.g., reinforcement learning. T o address these twin needs, we introduce a novel method to print free-form, highly sensorised soft'physical twins'. We present an automated design workflow to create complex and customisable 3D soft sensing structures on demand from 3D scans or models. Compared to the state of the art, our soft liquid metal sensors faithfully recreate complex natural geometries and display excellent sensing properties suitable for validating performance in delicate manipulation tasks. We demonstrate the application of our physical twins as'sensing corals': high-fidelity, 3D printed replicas of scanned corals that eliminate the need for live coral experimentation, whilst increasing data quality, offering an ethical and scalable pathway for advancing autonomous coral handling and soft manipulation broadly. Through extensive bench-top manipulation and underwater grasping experiments, we show that our sensing coral is able to detect grasps under 0.5 N, effectively capturing the delicate interactions and light contact forces required for coral handling. Finally, we showcase the value of our physical twins across two demonstrations: (i) automated coral labelling for lab identification and (ii) robotic coral aquaculture. Sensing physical twins such as ours can provide richer grasping feedback than conventional sensors providing experimental validation of prior to deployment in handling fragile and delicate items.

When Google CEO Sundar Pichai emailed his workers the company priorities for 2024 this month, developing AI responsibly was top of the list. Some employees now wonder if Google can live up to that goal. The small team that has served as its primary internal AI ethics watchdog has lost its leader and is being restructured, according to four people familiar with the changes. A Google spokesperson says its work will continue in a stronger form going forward, but declines to provide details. Google's Responsible Innovation team, known as RESIN, was located inside the office of compliance and integrity, in the company's global affairs division.

Tiny actuators – devices that convert energy and signals into movement – that operate as artificial muscles could lift up to 1000 times their own weight, according to research that may one day lead to robots with human-like grips. Corrado De Pascali and his colleagues at the Italian Institute of Technology have developed 3D-printed artificial muscles, created from actuators that convert energy into movement by inflating the artificial muscles. "We started from the traditional artificial muscle and developed a new class of artificial muscles made of a single monolithic component," says De Pascali. The actuator membranes, called GeometRy-based Actuators that Contract and Elongate (GRACE), are 3D printed from a flexible resin that enables them to stretch and contract like a human muscle. The membrane was designed using a mathematical model created by the researchers.

AMP Robotics has extended its partnership with Evergreen, a producer of food-grade recycled polyethylene terephthalate (rPET). Evergreen now has 15 of AMP's robotic sorting systems installed or planned across three facilities. In addition to six robots in Clyde, Evergreen has added six in Riverside, California, and will soon add three in Albany, New York. AMP's technology identifies and sorts green and clear PET from post-consumer bales of plastic soft drink bottles at speeds up to three times faster and at a higher accuracy than manual sorters can achieve. Evergreen then recycles the material into reusable flakes or pellets, which it sells to end markets as feedstock for new containers and packaging.

A team of researchers from the University of North Carolina at Chapel Hill have unveiled a 3D printer that uses light to create an entire object at once. It's called the Replicator, named after the machines in the Star Trek universe that can synthesize food, water, air and various objects seemingly out of nothing. Before you get too excited, the researchers didn't quite create an exact replica of that fictional machine, but it still offers a new and promising 3D printing technique. According to the team's paper published in Science, the Replicator works like a reverse CT scan. When a patient undergoes the procedure, an X-ray tube rotates around their body to take multiple photos that a computer can use to create 3D images.

As micro-molding gives way to "nano-molding," processors will need creative answers to the problems of handling flyspeck-sized parts. Farms may replace oil wells as the source of new plastics. Biopolymers made from cornstarch or other renewable feedstocks will supple-ment petrochemical-derived polymers in a wide range of applications. What if you could change the color of every part right at the machine? Instant color changes may be part of the coming era of "mass customization." New methods of polymer production will allow custom materials to be "programmed" for individual applications. Say Hello to Nano Molding The new frontier of injection molding is "shrinking," says Carl Schiffer, managing partner at Dr. Boy GmbH in Germany. Miniaturization in electronic and medical parts will help push today's micro-molding toward "nano"-size parts. Machinery will need to evolve to meet the "nano" challenge. Shot sizes must become smaller, and screw diameters are already shrinking from the standard lower limit of 14 mm.

Revan Sopher is a 2016 graduate of Rutgers University, and an incoming SETI at Google Mountain View. For our senior design project, we decided to build a testbench for developing and iterating distributed machine learning algorithms of the sort that our adviser studies. The general idea is to deliver a complete solution based on a python library which hides away lower-level concepts such as networking and synchronization, allowing an academic programmer to focus on the high-level math of their algorithms. My teammate Nikhil worked on some high-level algorithm implementations while I worked on the library and tooling. In this post I'll be explaining how I used resin.io

The one redeeming feature of a spider is that the webs they create are usually too small, or too weak, to entrap a human. But Festo continues to corner the market on unsettling and slightly creepy robots with a machine that can create giant webs and even 3D cocoons that could easily hold a human hostage. The 3D Cocooner's web is made of a soft flexible thread that's coated in a liquid plastic resin. As it's being extruded, a UV light on the print head hardens the material giving the webs and cocoons the robot creates instant structure without the need for additional supports to be created A built-in saw slices the material when the robot's print head needs to move to another location, but the special resin can also be softened again at any time allowing beams and supports to be angled, repositioned, or connected to other parts of the 3D cocoon during the printing process. Admittedly, the 3D Cocooner doesn't really look as creepy as a spider. It has no beady eyes or menacing fangs, but the fact that it could quickly entomb you in its resin web is more than enough reason to question why this research needs to continue.