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Lee Nelson
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I want to use a Magic Leap One as the display for my wearable. https://www.magicleap.com This would interface with Ubuntu running on my OnePlus 5T and 6T with a Google Fi Moto X4 as the modem. The other option is ANT VR MIX for about $600.https://www.kickstarter.com/projects/805968217/mix-the-smallest-ar-glasses-with-immersive-96fov All this hardware and software could be ready by the end of the year.
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My account is flaggeed on GitHub because I follow many people. They will not unflag it. I am hidden. This is the same activity that got me job inquiries from Google, Nvidia and Microsoft.
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Told ya so, over ten years ago. "Researchers demonstrated the simplest possible chemical reaction by using optical tweezers to bring together two atoms to form a molecule."
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"Date:
May 23, 2018
Source:
University of Alberta
Summary:
Scientists have applied a machine learning technique using artificial intelligence to perfect and automate atomic-scale manufacturing, something which has never been done before. The vastly greener, faster, smaller technology enabled by this development greatly reduces impact on the climate while still satisfying the insatiable demands of the information age.
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FULL STORY

Scientists at the University of Alberta have applied a machine learning technique using artificial intelligence to perfect and automate atomic-scale manufacturing, something which has never been done before. The vastly greener, faster, smaller technology enabled by this development greatly reduces impact on the climate while still satisfying the insatiable demands of the information age.
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"Most of us thought we'd never be able to automate atomic writing and editing, but stubborn persistence has paid off, and now Research Associate Moe Rashidi has done it," said Robert Wolkow, professor of physics at the University of Alberta, who along with his Research Associate has just published a paper announcing their findings.

"Until now, we printed with atoms about as efficiently as medieval monks produced books," explained Wolkow. "For a long while, we have had the equivalent of a pen for writing with atoms, but we had to write manually. So we couldn't mass produce atom-scale devices, and we couldn't commercialize anything. Now that has all changed, much like the disruption following the arrival of the printing press for those medieval monks. Machine learning has automated the atom fabrication process, and an atom-scale manufacturing revolution is sure to follow."

Doing more with less

This new discovery builds on Wolkow's extensive body of work in creating solutions to drive atomic-scale low-power electronics. The physicist has devoted his career to pushing atomic-scale manufacturing forward in response to not only the rapidly changing needs of our information age but also the changes to our climate. Some estimates predict that if we continue on pace with our current energy consumption habits, by 2025, the information and communication technology industry would not only consume 20 percent of the world's energy but also contribute more than five percent of the global carbon emissions.

For Wolkow, this all adds up to an urgent need for a new basis for our electronics, something which he predicts will be powered by atomic-scale fabrication and mass manufacturing, now possible thanks to his new discovery.

"Fabrication at the ultimate small scale not only lets us do things better, but we can also create entirely new functions that conventional technology simply cannot do. Combining that with a practical path to manufacturing will be game changing. This allows us to create a new, extremely efficient basis for computing using the natural properties of individual atoms."
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Story Source:

Materials provided by University of Alberta. Note: Content may be edited for style and length.

Journal Reference:

Mohammad Rashidi, Robert A. Wolkow. Autonomous Scanning Probe Microscopy in Situ Tip Conditioning through Machine Learning. ACS Nano, 2018; DOI: 10.1021/acsnano.8b02208

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University of Alberta. "Atomic-scale manufacturing now a reality: Forthcoming manufacturing revolution akin to the arrival of the printing press." ScienceDaily. ScienceDaily, 23 May 2018
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"Build, train, and ship custom deep learning models using a simple visual interface."
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"
gitxiv.com
Hierarchical Attentive Recurrent Tracking
akosiorek
5-6 minutes

Class-agnostic object tracking is particularly difficult in cluttered environments as target specific discriminative models cannot be learned a priori. Inspired by how the human visual cortex employs spatial attention and separate "where" and "what" processing pathways to actively suppress irrelevant visual features, this work develops a hierarchical attentive recurrent model for single object tracking in videos.

Class-agnostic object tracking is particularly difficult in cluttered environments as target specific discriminative models cannot be learned a priori. Inspired by how the human visual cortex employs spatial attention and separate "where" and "what" processing pathways to actively suppress irrelevant visual features, this work develops a hierarchical attentive recurrent model for single object tracking in videos. The first layer of attention discards the majority of background by selecting a region containing the object of interest, while the subsequent layers tune in on visual features particular to the tracked object. This framework is fully differentiable and can be trained in a purely data driven fashion by gradient methods. To improve training convergence, we augment the loss function with terms for a number of auxiliary tasks relevant for tracking. Evaluation of the proposed model is performed on two datasets of increasing difficulty: pedestrian tracking on the KTH activity recognition dataset and the KITTI object tracking dataset.

Read more...

This is an official Tensorflow implementation of single object tracking in videos by using hierarchical attentive recurrent neural networks, as presented in the following paper:

A. R. Kosiorek, A. Bewley, I. Posner, "Hierarchical Attentive Recurrent Tracking", arXiv preprint, arxiv:1706.09262.

Author: Adam Kosiorek, Oxford Robotics Institue, University of Oxford
Email: adamk(at)robots.ox.ac.uk
Paper: https://arxiv.org/abs/1706.09262
Webpage: http://ori.ox.ac.uk/

Installation

Install Tensorflow v1.1 and the following dependencies (using pip install -r requirements.txt (preferred) or pip install [package]):

matplotlib==1.5.3
numpy==1.12.1
pandas==0.18.1
scipy==0.18.1

Demo

The notebook scripts/demo.ipynb contains a demo, which shows how to evaluate tracker on an arbitrary image sequence. By default, it runs on images located in imgs folder. Before running the demo please download AlexNet weights first (described in the Training section).
Data

Download KITTI dataset from here. We need left color images and tracking labels.
Unpack data into a data folder; images should be in an image folder and labels should be in a label folder.
Resize all the images to (heigh=187, width=621) e.g. by using the scripts/resize_imgs.sh script.

Training

Download the AlexNet weights:
Execute scripts/download_alexnet.sh or
Download the weights from here and put the file in the checkpoints folder.

Run

python scripts/train_kitti.py --img_folder=path/to/image/folder --label_folder=/path/to/label/folder

The training script will save model checkpoints in the checkpoints folder and report train and test scores every couple of epochs. You can run tensorboard in the checkpoints folder to visualise training progress. Training should converge in about 400k iterations, which should take about 3 days. It might take a couple of hours between logging messages, so don't worry.
Evaluation on KITTI dataset

The scripts/eval_kitti.ipynb notebook contains the code necessary to prepare (IoU, timesteps) curves for train and validation set of KITTI. Before running the evaluation:

Download AlexNet weights (described in the Training section).
Update image and label folder paths in the notebook.

License

This program is free software; you can redistribute it and/or modify it under the terms of the GNU General Public License as published by the Free Software Foundation; either version 3 of the License, or (at your option) any later version.

This program is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public License for more details.

You should have received a copy of the GNU General Public License along with this program. If not, see http://www.gnu.org/licenses/.
Release Notes

Version 1.0

Original version from the paper. It contains the KITTI tracking experiment.


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Dependencies:

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"AntVR Launches ‘Mix’ AR Headset Kickstarter, Promising a 96-degree FOV Starting at $500

By

 Scott Hayden

 -

 May 15, 2018 

AntVR, the Beijing-based company known for their 2014 VR headset Kickstarter, launched a new crowdfunding campaign today for an augmented reality headset dubbed ‘Mix’. AntVR says the PC-tethered AR headset, which starts at $500 without positional tracking, will have a 96-degree field of view (FOV), and the ability to use the SteamVR platform so users can play games originally intended for VR headsets—provided the game has a dark, or entirely black background.


As for the headset itself, the company says Mix features two 1,200 × 1,200 displays with a 90Hz refresh rate, boasting a 96-degree FOV. Optional accessories, which connect via the headset’s two USB ports, include things such as inside-out tracking modules, hand-tracking modules, and even optional eye tracking.

Provided they hit their $50,000 funding goal, AntVR is promising to ship to backers by December 2018. At the time of this writing, the Mix AR headset Kickstarteris already over a fifth of the way there.

Here’s a look at the different price tiers and accessories AntVR is offering:

Image courtesy AntVR

AntVR claims the headset achieves its 96-degree FOV by way of its self-developed “dual-channel mixed optics,” a multiple layered optic that has two different optical channels for enlarging the display’s light while allowing ambient light to bypass the lens.

The company recently published a video showing the headset ‘in action’ as it was filmed through its lenses with an iPhone X, showing a bit of what a VR game looks like when played using Mix. We haven’t had a chance to go hands-on with Mix, but if the video is any indication of the final product, than users should expect some refractive artifacts that could muddy the clarity of the VR imagery to noticeable effect.

AntVR has come a long way since it launched their first Kickstarter back in May 2014, which garnered over $260,000 to realize what at the time was positioned as a competitor to the Oculus RiftDK2. While the headset did eventually ship to backers, AntVR made the critical mistake of over-promising and under delivering, which ultimately rendered the launch of AntVR’s first headset pretty tumultuous.

 ARTICLE CONTINUES BELOW 

The company went on to produce a number of VR devices including a room-scale VR headset called AntVR Cyclops, and a few portable Cardboard viewers, with one such viewer made in collaboration with Lenovo. Not many of these headsets have hit Western shores however, making Mix the company’s second big push into the Western market.

AntVR Mix, Image courtesy AntVR

Mix draws strength from its ability to play SteamVR games, boasting +130 games already supported, although it’s unclear what good that will do at the lowest funding tier, which comes with a single 3DOF controller and no positional tracking module that would otherwise give the headset 6DOF movement.

SEE ALSO

ANTVR to Launch $500 'Mix' AR Headset on Kickstarter in May

Without any prior VR equipment at your disposal such as an entire SteamVR tracking setup with Vivecontrollers, you’d need to buy at very least the $630 ($850 MSRP) outside-in tracking kit, which provides two 6DOF controllers, a 6DOF headset module and an external sensor in order to get the same basic functionality as promised in the launch video (linked above and below). All of this rests on the caveat that you already have a VR-ready PC.

Whatever the cost, a lower profile headset with a relatively high FOV is certainly tantalizing on paper, and we can’t wait to see if the headset lives up to its ambition.

~

This article may contain affiliate links. If you click an affiliate link and buy a product we may receive a small commission which helps support the publication. See here for more information.

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"May 15,2018

13:48:58

DW Focus

HOT TOPICS

Yorkshire distributor nabs prime time BBC Two slot - 10 hours ago

British bakeware firm gains new owner and MD - 10 hours ago

First Choice’s new HQ wins architectural award - 11 hours ago

Welbilt helps to educate next hospitality generation - 11 hours ago

SPECIAL REPORT: Distributors predict sector direction - 11 hours ago

Marren looks to smart glasses pilot scheme

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May 9, 2018

A Marren engineer trials the smart glasses.

Microwave servicing specialist, Marren, has invested in what it believes to be a technology first in the UK catering equipment industry.

The Northampton-based firm has purchased a pair of ‘smart glasses’ from New York technology manufacturer, Vuzix, as part of a pilot scheme.

The augmented reality glasses essentially provide hands-free mobile computing. The Android-based wearable computer features a monocular display and onboard processor, expandable memory, recording features and wireless connectivity capabilities.

Story continues below 

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The HD camera records, stores, plays back still picture and video, and can be used as a barcode scanner.

Marren’s operations director Malcolm Skinner detailed why the servicing firm believes the new technology will be beneficial: “It allows our technical manager to give support to a newly-trained engineer in the field; it allows him to see exactly what the engineer is looking at.

“We have just started the pilot scheme and we are still perfecting the process, but we are excited by the results so far.”

He forecasted: “Our aim is to use the glasses as a support tool for newly trained engineers to help improve their learning. We believe this will give engineers more confidence rather than being on the phone for technical support.”



Marren’s technical manager reviewing the images sent by the smart glasses.

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Clare Nicholls

TAG CLOUDmaintenance, marren, repair, servicing, smart glasses

3 COMMENTS

Pingback: UK based microwave servicing company Marren is using smart glasses in a pilot scheme – Smart Glasses

Malcolm - May 11, 2018 said:

Any piece of technology that can help an engineer , service company to provide a first time fix is a great advancement. I am sure Marren and thier clients will see the benefits, meaning less call backs, more first time fixes, providing an overall “greener solution” as less road miles, CO2, will be the end result. Well done Marren !

Reply 

Melanie Oliver - May 14, 2018 said:

These look amazing – I hope the pilot scheme goes well. Wishing you all the best with the technology.

Reply 

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"3DPrint.com Innovation Showcase: 6/5–6/7. Register Now!

 

The Voice of 3D Printing / Additive Manufacturing




Chinese Researchers Validate Effectiveness of Teenager's 3D Printed Custom Knee Joint Replacement Prosthesis



by Sarah Saunders | May 4, 2018 | 3D Printing, Medical 3D Printing, Metal 3D Printing, Science & Technology |

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When the cells in a person’s bone divide uncontrollably, a mass of invasive tissue, better known as a tumor, develops. While most bone tumors are benign, malignant forms occur most frequently in adolescent/young adult populations. Osteosarcoma is most often sited in the knee or upper arm, and tumors have a high potential to spread, potentially requiring removal of bone segments or full limbs.

3D printing has really helped open up the possibilities for treatment when it comes to bone replacements. Surgery is the most common option for treating bone tumors, and is followed up with reconstruction of bony defects with methods like prosthetic replacement, distraction osteogenesis, intercalary allografting, and fibular grafting. While conventional rigid prosthetics can lead to inflammation, infection, dislocation, and even rejection due to poor surface bioactivity, patient-specific 3D printed prosthetics can offer a much better prognosis.



26 months post-op

Recently, a team of medical experts from West China Hospitalat Sichuan University published a study, titled “Uncemented three-dimensional-printed prosthetic reconstruction for massive bone defects of the proximal tibia,” in the World Journal of Surgical Oncology about their use of 3D printing to develop a custom knee joint replacement prosthesis for a teenager with metaphyseal osteosarcoma of the tibia.



(a) Initial design of 3D printed prosthesis. (b) Cross section of the initial design of 3D printed prosthesis showing the outer-layer porous structure.

According to the paper, “Currently, it is challenging to treat massive bone defects of proximal tibia. Although numerous methods are available for reconstruction with epiphysis preservation, limitations in knee function and complications are noted with these methods. Our paper describes our attempt to reconstruct a marked defect in the proximal tibia with an uncemented three-dimensional (3D)-printed prosthesis and to evaluate the prosthesis design and short-term outcomes.

“A 15-year-old boy with metaphyseal osteosarcoma of the tibia underwent intercalary allograft reconstruction following wide tumour resection with epiphysis preservation. However, chronic allograft rejection and/or infection occurred after the surgery and a sinus tract was formed.”

Things turned around for the patient once the initial graft was removed and an antibiotic-loaded cement spacer was implanted, but his limb function still wasn’t up to par.

Due to the odd shape of the defect, and how short the residual proximal tibia was, the team turned to 3D printing to fabricate a custom prosthesis in order to reconstruct the defect and preserve the knee joint. The team learned that a porous structure, with 600μm pore size and 65% porosity, would be able to simulate the real properties of trabecular structures in humans.

Anteroposterior and lateral radiographs after reconstruction with the 3D printed prosthesis.a Anteroposterior radiograph of right tibia 26 months after 3D-printed prosthesis reconstruction. Anteroposterior (b) and lateral (c) T-SMART scanning showed that the 3D prosthesis tightly integrated with the proximal tibia, and partial bone substance could be observed to grow into the porous structure of the prosthesis

Titanium alloys, which offer good mechanical strength, were used at the core of the uncemented prosthesis, in order to improve the matching between the bone defect region and the implant device. To achieve improved bone-impact integration, the stem of the distal part of the 3D printed prosthesis was coated with sophisticated porous bioceramics.

The proximal part was 3D printed on an Arcam Q10 using Electron Beam Melting (EBM) technology, which has seen rising adoption in China and worldwide for prosthetics.

Post-op, the teenager seems to be tolerating the 3D printed prosthetic implant just fine, showing “satisfactory limb function” at his 26-month follow-up appointment and being able to walk, run, and jump with no pain. The prosthesis is fitting well with the real tibia, and there have been so signs of complication – the knee joint is exhibiting motion of 0-130° and an Enneking function score of 93%, which are “comparable” results when compared to normal knee joint motion.



Final product of 3D printed prosthesis.

“The 3D-printed prosthesis may be a feasible option in the reconstruction of tibial metaphyseal defects with the preservation of the knee joint. Moreover, it can result in good postoperative function and low complication rates,” the conclusion of the paper reads. “However, a long-term follow-up is required to clarify its long-term outcomes.”

Co-authors of the paper include Minxun Lu, Yongjiang Li, Yi Luo, Wenli Zhang, Yong Zhou, and Chongqi Tu.

Discuss this and other 3D printing topics at 3DPrintBoard.com or share your thoughts below.

[Source: Medical News Bulletin / Images: West China Hospital, Sichuan University]

 

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"titled “Handheld skin printer: in situformation of planar biomaterials and tissues,” in the journal Lab on a Chip.

The abstract reads, “When manually positioned above a target surface, the compact instrument (weight <0.8 kg) conformally deposits a biomaterial or tissue sheet from a microfluidic cartridge. Consistent sheet formation is achieved by coordinating the flow rates at which bioink and cross-linker solution are delivered, with the speed at which a pair of rollers actively translate the cartridge along the surface. We demonstrate compatibility with dermal and epidermal cells embedded in ionically cross-linkable biomaterials (e.g., alginate), and enzymatically cross-linkable proteins (e.g., fibrin), as well as their mixtures with collagen type I and hyaluronic acid. Upon rapid crosslinking, biomaterial and skin cell-laden sheets of consistent thickness, width and composition were obtained. Sheets deposited onto horizontal, agarose-coated surfaces were used for physical and in vitro characterization. Proof-of-principle demonstrations for the in situ formation of biomaterial sheets in murine and porcine excisional wound models illustrate the capacity of depositing onto inclined and compliant wound surfaces that are subject to respiratory motion.”

While there are already tissue-engineered skin substitutes, adoption is not widespread in clinical settings, for various reasons.

Guenther said, “Most current 3D bioprinters are bulky, work at low speeds, are expensive and are incompatible with clinical application.”"
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