#Hongchen Li

[scenesandscreens]

The Wandering Earth (2019)

Director - Frant Gwo, Cinematography - Michael Liu

[drmikewatts]

IEEE Transactions on Artificial Intelligence, Volume 5, Issue 9, September 2024

1) Editorial: From Explainable Artificial Intelligence (xAI) to Understandable Artificial Intelligence (uAI)

Author(s): Hussein Abbass, Keeley Crockett, Jonathan Garibaldi, Alexander Gegov, Uzay Kaymak, Joao Miguel C. Sousa

Pages: 4310 - 4314

2) Incomplete Graph Learning via Partial Graph Convolutional Network

Author(s): Ziyan Zhang, Bo Jiang, Jin Tang, Jinhui Tang, Bin Luo

Pages: 4315 - 4321

3) Adversarial Machine Learning for Social Good: Reframing the Adversary as an Ally

Author(s): Shawqi Al-Maliki, Adnan Qayyum, Hassan Ali, Mohamed Abdallah, Junaid Qadir, Dinh Thai Hoang, Dusit Niyato, Ala Al-Fuqaha

Pages: 4322 - 4343

4) A Distributed Conditional Wasserstein Deep Convolutional Relativistic Loss Generative Adversarial Network With Improved Convergence

Author(s): Arunava Roy, Dipankar Dasgupta

Pages: 4344 - 4353

5) A Similarity-Based Positional Attention-Aided Deep Learning Model for Copy–Move Forgery Detection

Author(s): Ayush Roy, Sk Mohiuddin, Ram Sarkar

Pages: 4354 - 4363

6) Enhancing Reinforcement Learning via Transformer-Based State Predictive Representations

Author(s): Minsong Liu, Yuanheng Zhu, Yaran Chen, Dongbin Zhao

Pages: 4364 - 4375

7) Bilateral-Head Region-Based Convolutional Neural Networks: A Unified Approach for Incremental Few-Shot Object Detection

Author(s): Yiting Li, Haiyue Zhu, Sichao Tian, Jun Ma, Cheng Xiang, Prahlad Vadakkepat

Pages: 4376 - 4390

8) Regional Ensemble for Improving Unsupervised Outlier Detectors

Author(s): Jiawei Yang, Sylwan Rahardja, Susanto Rahardja

Pages: 4391 - 4402

9) Progressively Select and Reject Pseudolabeled Samples for Open-Set Domain Adaptation

Author(s): Qian Wang, Fanlin Meng, Toby P. Breckon

Pages: 4403 - 4414

10) A Lightweight Multidendritic Pyramidal Neuron Model With Neural Plasticity on Image Recognition

Author(s): Yu Zhang, Pengxing Cai, Yanan Sun, Zhiming Zhang, Zhenyu Lei, Shangce Gao

Pages: 4415 - 4427

11) A Multimodal Multiobjective Evolutionary Algorithm for Filter Feature Selection in Multilabel Classification

Author(s): Emrah Hancer, Bing Xue, Mengjie Zhang

Pages: 4428 - 4442

12) A Nonparametric Split and Kernel-Merge Clustering Algorithm

Author(s): Khurram Khan, Atiq ur Rehman, Adnan Khan, Syed Rameez Naqvi, Samir Brahim Belhaouari, Amine Bermak

Pages: 4443 - 4457

13) Universal Transfer Framework for Urban Spatiotemporal Knowledge Based on Radial Basis Function

Author(s): Sheng-Min Chiu, Yow-Shin Liou, Yi-Chung Chen, Chiang Lee, Rong-Kang Shang, Tzu-Yin Chang, Roger Zimmermann

Pages: 4458 - 4469

14) Building a Robust and Efficient Defensive System Using Hybrid Adversarial Attack

Author(s): Rachel Selva Dhanaraj, M. Sridevi

Pages: 4470 - 4478

15) Retain and Adapt: Online Sequential EEG Classification With Subject Shift

Author(s): Tiehang Duan, Zhenyi Wang, Li Shen, Gianfranco Doretto, Donald A. Adjeroh, Fang Li, Cui Tao

Pages: 4479 - 4492

16) Prefetching-based Multiproposal Markov Chain Monte Carlo Algorithm

Author(s): Guifeng Ye, Shaowen Lu

Pages: 4493 - 4505

17) Shuffled Grouping Cross-Channel Attention-Based Bilateral-Filter-Interpolation Deformable ConvNet With Applications to Benthonic Organism Detection

Author(s): Tingkai Chen, Ning Wang

Pages: 4506 - 4518

18) An Intelligent Fingerprinting Technique for Low-Power Embedded IoT Devices

Author(s): Varun Kohli, Muhammad Naveed Aman, Biplab Sikdar

Pages: 4519 - 4534

19) A Novel Applicable Shadow Resistant Neural Network Model for High-Efficiency Grid-Level Pavement Crack Detection

Author(s): Handuo Yang, Ju Huyan, Tao Ma, Yitao Song, Chengjia Han

Pages: 4535 - 4549

20) Prioritized Local Matching Network for Cross-Category Few-Shot Anomaly Detection

Author(s): Huilin Deng, Hongchen Luo, Wei Zhai, Yanming Guo, Yang Cao, Yu Kang

Pages: 4550 - 4561

21) IOTM: Iterative Optimization Trigger Method—A Runtime Data-Free Backdoor Attacks on Deep Neural Networks

Author(s): Iram Arshad, Saeed Hamood Alsamhi, Yuansong Qiao, Brian Lee, Yuhang Ye

Pages: 4562 - 4573

22) An Unbiased Fuzzy Weighted Relative Error Support Vector Machine for Reverse Prediction of Concrete Components

Author(s): Zongwen Fan, Jin Gou, Shaoyuan Weng

Pages: 4574 - 4584

23) Stabilizing Diffusion Model for Robotic Control With Dynamic Programming and Transition Feasibility

Author(s): Haoran Li, Yaocheng Zhang, Haowei Wen, Yuanheng Zhu, Dongbin Zhao

Pages: 4585 - 4594

24) A Unified Conditional Diffusion Framework for Dual Protein Targets-Based Bioactive Molecule Generation

Author(s): Lei Huang, Zheng Yuan, Huihui Yan, Rong Sheng, Linjing Liu, Fuzhou Wang, Weidun Xie, Nanjun Chen, Fei Huang, Songfang Huang, Ka-Chun Wong, Yaoyun Zhang

Pages: 4595 - 4606

25) Learning Counterfactual Explanation of Graph Neural Networks via Generative Flow Network

Author(s): Kangjia He, Li Liu, Youmin Zhang, Ye Wang, Qun Liu, Guoyin Wang

Pages: 4607 - 4619

26) Linear Regression-Based Autonomous Intelligent Optimization for Constrained Multiobjective Problems

Author(s): Yan Wang, Xiaoyan Sun, Yong Zhang, Dunwei Gong, Hejuan Hu, Mingcheng Zuo

Pages: 4620 - 4634

27) Strategic Gradient Transmission With Targeted Privacy-Awareness in Model Training: A Stackelberg Game Analysis

Author(s): Hezhe Sun, Yufei Wang, Huiwen Yang, Kaixuan Huo, Yuzhe Li

Pages: 4635 - 4648

28) An Explainable Intellectual Property Protection Method for Deep Neural Networks Based on Intrinsic Features

Author(s): Mingfu Xue, Xin Wang, Yinghao Wu, Shifeng Ni, Leo Yu Zhang, Yushu Zhang, Weiqiang Liu

Pages: 4649 - 4659

29) Unsupervised Representation Learning for 3-D Magnetic Resonance Imaging Superresolution With Degradation Adaptation

Author(s): Jianan Liu, Hao Li, Tao Huang, Euijoon Ahn, Kang Han, Adeel Razi, Wei Xiang, Jinman Kim, David Dagan Feng

Pages: 4660 - 4674

30) A Causality-Informed Graph Intervention Model for Pancreatic Cancer Early Diagnosis

Author(s): Xinyue Li, Rui Guo, Hongzhang Zhu, Tao Chen, Xiaohua Qian

Pages: 4675 - 4685

31) Remaining Useful Life Prediction via Frequency Emphasizing Mix-Up and Masked Reconstruction

Author(s): Haoren Guo, Haiyue Zhu, Jiahui Wang, Vadakkepat Prahlad, Weng Khuen Ho, Clarence W. de Silva, Tong Heng Lee

Pages: 4686 - 4695

32) UPR-BP: Unsupervised Photoplethysmography Representation Learning for Noninvasive Blood Pressure Estimation

Author(s): Chenbin Ma, Peng Zhang, Fan Song, Zeyu Liu, Youdan Feng, Yufang He, Guanglei Zhang

Pages: 4696 - 4707

33) SBP-GCA: Social Behavior Prediction via Graph Contrastive Learning With Attention

Author(s): Yufei Liu, Jia Wu, Jie Cao

Pages: 4708 - 4722

34) Quadratic Neuron-Empowered Heterogeneous Autoencoder for Unsupervised Anomaly Detection

Author(s): Jing-Xiao Liao, Bo-Jian Hou, Hang-Cheng Dong, Hao Zhang, Xiaoge Zhang, Jinwei Sun, Shiping Zhang, Feng-Lei Fan

Pages: 4723 - 4737

35) Automatic Plane Pose Estimation for Cardiac Left Ventricle Coverage Estimation via Deep Adversarial Regression Network

Author(s): Le Zhang, Kevin Bronik, Stefan K. Piechnik, Joao A. C. Lima, Stefan Neubauer, Steffen E. Petersen, Alejandro F. Frangi

Pages: 4738 - 4752

36) Variable Curvature Gabor Convolution and Multibranch Structures for Finger Vein Recognition

Author(s): Jun Li, Huabin Wang, Shicheng Wei, Jian Zhou, Yuankang Shen, Liang Tao

Pages: 4753 - 4764

37) ClassLIE: Structure- and Illumination-Adaptive Classification for Low-Light Image Enhancement

Author(s): Zixiang Wei, Yiting Wang, Lichao Sun, Athanasios V. Vasilakos, Lin Wang

Pages: 4765 - 4775

38) Improving Code Summarization With Tree Transformer Enhanced by Position-Related Syntax Complement

Author(s): Jie Song, Zexin Zhang, Zirui Tang, Shi Feng, Yu Gu

Pages: 4776 - 4786

39) Automated Detection of Harmful Insects in Agriculture: A Smart Framework Leveraging IoT, Machine Learning, and Blockchain

Author(s): Wahidur Rahman, Muhammad Minoar Hossain, Md. Mahedi Hasan, Md. Sadiq Iqbal, Mohammad Motiur Rahman, Khondokar Fida Hasan, Mohammad Ali Moni

Pages: 4787 - 4798

40) MTPret: Improving X-Ray Image Analytics With Multitask Pretraining

Author(s): Weibin Liao, Qingzhong Wang, Xuhong Li, Yi Liu, Zeyu Chen, Siyu Huang, Dejing Dou, Yanwu Xu, Haoyi Xiong

Pages: 4799 - 4812

41) Reinforced Reweighting for Self-Supervised Partial Domain Adaptation

Author(s): Keyu Wu, Shengkai Chen, Min Wu, Shili Xiang, Ruibing Jin, Yuecong Xu, Xiaoli Li, Zhenghua Chen

Pages: 4813 - 4822

42) Cross-Modality Calibration in Multi-Input Network for Axillary Lymph Node Metastasis Evaluation

Author(s): Michela Gravina, Domiziana Santucci, Ermanno Cordelli, Paolo Soda, Carlo Sansone

Pages: 4823 - 4836

43) A Novel Grades Prediction Method for Undergraduate Students by Learning Explicit Conditional Distribution

Author(s): Na Zhang, Ming Liu, Lin Wang, Shuangrong Liu, Runyuan Sun, Bo Yang, Shenghui Zhu, Chengdong Li, Cheng Yang, Yuhu Cheng

Pages: 4837 - 4848

[xiuxingkai]

Finally watched the first episode of Challenges at Midlife.

Impressions (with spoilers) below:

So, since I don't speak Mandarin Chinese at all, am entirely reliant on the provided English subtitle. The first thing I noticed was that the subtitle can be a bit wonky at times. Thus far, seems like it's mostly "squeezing" Chinese grammar structure into English (this is purely a guess based off awkward sentences and such) as well as putting "your" when contextually it should have been "my". Example:

[Screenshot of Challenges at Midlife episode 01 from YouTube. The character Ning Yu, played by actress Xia Meng, confronts her mother (Ning Hui, played by Yan Xiao Ping) about the murder accusation toward her father. The English subtitle says, "They say your dad is a murderer," when it should have been, "They say my dad is a murderer.]

The "your" instead of "my" translation mistake occured several more times throughout the episode. It's still easy to overlook though, and even with the aforementioned wonky sentences (that happened less than the your/my switcharoo), I was still able to follow the story along without getting too lost (for the most part). Idk if this will be a consistent thing with the subtitles, I just hope it won't get worse. (LOL.)

Next. I went into the drama completely blind. I didn't know the premise much less the plot; I just knew ZYX stars in it as a supporting character and that's about it. (LOL) So I was a bit surprised when I realised the story follows a mixed timeline.

The opening takes place during the early 90s, before jumping ahead to the year 2018. Then it comes back to 1998. Even during the scenes that take place in late 2010s, there's some flashback to the 90s sprinkled throughout — mostly presented as the character(s) thinking about the past.

For me personally, this non-linear storytelling with constant jumping back and forth is a bit hard to keep track of, mainly because am not used to it. Because of my personal lack of experience with this storytelling format, I can't exactly say whether the way they do it is fine or is to the detriment of the story. That being said, now knowing this is the format they chose to go with, am at least more prepared before watching episode 02 onwards.

Third thing I want to comment on is the camera work. More specifically, the way they shoot the scene during the confrontation at Jian family house after the funeral of Jian Zhi Guo (played by Jian Baixuan):

[Standing: Jian Minmin (Zhong Dan Ni). Sitting, second picture L to R: Zhang Lixin (Tie Zheng), Mother Jian (unfortunately I can't find the actress' name), and Jian Hongchen (Li Dianzun)]

Look, am not a technical gal, all right. I know very little about filmmaking or videography, but I know that I like something when I see it. Here are several things I can list that I like about it:

I like the natural lighting. I feel like a lot of live actions (movies and series both) nowadays rely a bit too much on artificial lighting and recolouring. Challenges at Midlife at least seems to be mostly shot with natural lighting, and I really love its usage in this scene in particular because it feels a lot more immersive. It really did feel like being in the same room as them.

I like the way Minmin is standing separated from the rest of her family, even including her husband. It's a pretty basic composition setting am pretty sure. But even without any addition of stark contrast between where she stands and where the others sit, you can just feel the emotional distance she keeps. (God, who knew you can act just by standing? Dan Ni is such a queen for that.)

Additionally, here's something I just noticed as I took the screenshot: Notice how small Lixin, Mother Jian, and Hongchen look when we're seeing the shot from Minmin's side. At this point in the story we're already aware of her ambition to be the legitimate successor of Zhi Guo's business. Also in this scene, it's revealed how much Minmin feels she has contributed and supported her family, yet also feeling like she's underappreciated. Those emotions combined with the shot, makes me feel like Minmin actually not only resent her family (including her husband, Lixin—from whom I get slimy, slimy vibes) but also look down on them. Mwah. Chef's kiss. Character development through visuals alone? Love to see it.

(Wouldn't it be funny, though, if later on in the story everything I've said about Minmin is proven to be entirely incorrect and that I am, in fact, just reaching? LOL.)

The last thing I want to say is I adore the acting from Xia Meng and young Ning Shu (alas, yet another actor whose name I can't find). I got past teary-eyed and went straight to crying when Ning Hui came home and both kids started asking for their father. Absolutely gut wrenching. Everyone's acting in the drama is good! But these two kids—oh, lord, they made me bawl.

Anyway, I think that's all I've got to say about Challenges at Midlife ep01. Funny enough, though I watched it for ZYX I don't think I have too much to say about him or adult Ning Shu, LOL. But I take that as a W for the drama: it's so incredibly good that in its entirety it totally sucked me in instead of just focusing on one actor.

Maybe I'll make this a regular update every time I finished watching an episode. Idk.

Watch Ep01 here.

[actionerd]

The Wandering Earth (2019)

The Wandering Earth (2019) #Critique #TheWanderingEarth #Netflix

Résumé : Alors que le soleil se meurt, partout dans le monde, des gens construisent des propulseurs de planète gigantesques pour déplacer la Terre hors de son orbite et la faire naviguer vers un nouveau système stellaire. Pourtant, ce voyage de 2500 ans comporte des dangers inattendus et, dans le but de sauver l’humanité, un groupe de jeunes de cet âge d’une Terre errante se battent pour la…

[rqs902]

could you tell me how many of the post-idol producer groups have released albums/singles and MVs already? So far I only now NEX7 (wait a minute), MR-X (zig zag) and Oner (dazzle) but i want to know more. they're all so amazing.

hello! yes they’re all so amazing!! this could get to be very very long, so I’m going to try to keep it as short as I can! I’ll go in alphabetical order and hyperlink youtube videos when I can:

(disclaimer: please keep in mind I may also not know about some, so this is simply to the best of my knowledge, and if anyone wants to add on, please do!) 

Awaken-F - Law of Attraction (MV coming soon) Awaken-F - Stay with MeAwaken-F - Three Miles of Gentle Winds (*rough translation) ❤Qin Fen & Han Mubo - Fei Jing Peiyao - Ocean of Stars

BBT with Wang Ziyi - Secret LoveBBT with Wang Ziyi - Slow to warm child(BBT has a LOT of pre-ip songs!)

Cai Xukun - Wait wait wait ❤Cai Xukun - Pull Up Cai Xukun has also released “You can be my girlfriend” ❤ and “It’s You”

Chen Linong - I am Yours ❤Chen Linong - Reborn (MV | Live performance)

I’ll put the rest under the cut! (I’ll mark my favorite songs with a ❤)

Jeffrey - 9 to 5 (MV coming soon) Jeffrey - Going to Paris Alone

Justin, Zhu Zhengting, Bi Wenjun, Xiao Gui, Jeffrey, Dong Yanlei - Run Away ❤

Li Changgeng - VENUS ❤

Li Junyi - 100 DreamsLi Junyi - Run 2U

Li Rang - 24 (Li Rang has a LOT of mixtapes, this is just one)

Lin Yanjun - YOU ❤(Live performance on 中國音樂公告牌 coming soon!!) 

MR-X - U&I ❤MR-X - ZIGZAG (MV | Live performance) ❤MR-X - I Don’t Wanna Fight Tonight ❤

NEX7 - Wait a Minute (Full album with 7 tracks: here) ❤ (”Heart Full of You” !!)NEX7 - Together 

ONER - DazzleONER - Work ❤ (Full album with 8 tracks: here)ONER - Space ONER (BC221) - ANTIDOTE (pre-ip)ONER (BC221) - If you could feel what I’ve felt (pre-ip)

Qian Zhenghao - RISE ❤Qian Zhenghao has also released “ALIVE” ❤, Tonight (Chinese and English versions) Qian Zhenghao - Whenever I think of you ❤

Qin Junyi - Who am I ❤

Tangram - RADIANT ❤Tangram - Rush Forward Tangram (Trainee18) - Rock the Show (dance version!!) ❤

Wang Ziyi - AMH (dance version)

Xiao Gui - Unicorn ❤Xiao Gui - Good Night

Xu Heni - Please Allow Me

You Zhangjing - Half of a Love LetterYou Zhangjing - Encounter in the WestYou Zhangjing - Crystal Sky of Yesterday ❤You Zhangjing - Ao Hongchen

Zhou Rui - RelativityZhou Rui with Qian Zhenghao - I’ll neverZhou Rui - Island ∞ ❤Zhou Rui - Every Minute Since You Left MeZhou Rui - Across ❤

Zhou Yanchen - O.M.T ❤Zhou Yanchen with Zhang Xin - Snowstorm

Zhu Xingjie - Midsummer Night ❤Zhu Xingjie - Ocean of DreamsZhu Xingjie - If you can understandZhu Xingjie - 2018 Unique Memories❤Zhu Xingjie - Sleepless ❤ (Zhu Xingjie has a LOT of pre-ip songs!) 

[fumpkins]

Water Resistant and Self-Healing Electronic Skin

A group of NUS scientists led by Assistant Teacher Benjamin Tee (back row, right) from NUS Products Science and Engineering produced a transparent electronic skin that repair work itself in both damp and dry conditions. Front row (from left) Mr Li Si, doctoral trainee; Dr Tan Yu Jun, Research Study Fellow, Biomedical Institute for Global Health Research Study and Technology (BIGHEART); Mr Guo Hongchen, doctoral trainee, NUS Graduate School for Integrative Sciences and Engineering. Back row (from left) Dr Lee Wang Wei, Research Study Fellow, BIGHEART; and Assistant Teacher Benjamin Tee.

Motivated by undersea invertebrates such as the jelly fish, Assistant Teacher Benjamin Tee and his group from NUS Products Science and Engineering, in cooperation with scientists from Tsinghua University, China and the University of California Riverside, U.S.A., produced an electronic skin with comparable performance.  The group of 8 scientists invested over a year establishing the product and its creation was reported in the journal Nature Electronic Devices on 15 February 2019

The electronic skin is transparent, elastic, touch-sensitive and has self-healing capabilities in water environments.  It might be utilized in whatever from waterproof touchscreens to water soft robots.

Asst Prof Tee has actually been dealing with electronic skin for several years and became part of the group that established the very first self-healing electronic skin sensing units in 2012.   They was successful in producing a gel including a fluorocarbon-based polymer with a fluorine-rich ionic liquid. When integrated, the polymer network connects with the ionic liquid by means of extremely reversible ion–dipole interactions, which enables it to self-heal. The product can maintain its shape in damp and dry environments, and works well in sea water, and acidic and alkaline environments.

The electronic skin is produced by printing the unique product into electronic circuits.  Being soft and elastic, the product’s electrical residential or commercial properties alter when touched, pushed or strained.

Stated Asst Prof Tee, who is likewise from NUS Electrical and Computer System Engineering and the Biomedical Institute for Global Health Research Study and Technology (BIGHEART) at NUS, “The 3D printability of our product likewise reveals prospective in producing completely transparent circuit boards that might be utilized in robotic applications. We hope that this product can be utilized to establish numerous applications in emerging kinds of soft robots.

Soft robots and soft electronic devices in basic, objective to simulate biological tissues to make them more mechanically certified for human-machine interactions. In addition to standard soft robot applications, this unique product’s water resistant technology allows the style of amphibious robots and waterproof electronic devices.

The self-healing electronic skin has the prospective to lower waste.  Countless tonnes of electronic waste from damaged cellphones and tablets, to name a few, are produced internationally every year.  The group wishes to produce a future where electronic gadgets made from smart products can carry out self-repair functions to lower the quantity of electronic waste on the planet.

New post published on: https://www.livescience.tech/2019/03/18/water-resistant-and-self-healing-electronic-skin/

[ilovechinesemusic]

Liu Xijun - Zui Li Hongchen (Lyrics video, OST for "Lost Love in Times")

[fumpkins]

Water Resistant and Self-Healing Electronic Skin

A team of NUS researchers led by Assistant Professor Benjamin Tee (back row, right) from NUS Materials Science and Engineering created a transparent electronic skin that repairs itself in both wet and dry conditions. Front row (from left) Mr Li Si, doctoral student; Dr Tan Yu Jun, Research Fellow, Biomedical Institute for Global Health Research and Technology (BIGHEART); Mr Guo Hongchen, doctoral student, NUS Graduate School for Integrative Sciences and Engineering. Back row (from left) Dr Lee Wang Wei, Research Fellow, BIGHEART; and Assistant Professor Benjamin Tee.

Inspired by underwater invertebrates such as the jelly fish, Assistant Professor Benjamin Tee and his team from NUS Materials Science and Engineering, in collaboration with researchers from Tsinghua University, China and the University of California Riverside, USA, created an electronic skin with similar functionality.  The team of eight researchers spent over a year developing the material and its invention was reported in the journal Nature Electronics on 15 February 2019

The electronic skin is transparent, stretchable, touch-sensitive and has self-healing abilities in aquatic environments.  It could be used in everything from water-resistant touchscreens to aquatic soft robots.

Asst Prof Tee has been working on electronic skin for many years and was part of the team that developed the first ever self-healing electronic skin sensors in 2012.   They succeeded in creating a gel consisting of a fluorocarbon-based polymer with a fluorine-rich ionic liquid. When combined, the polymer network interacts with the ionic liquid via highly reversible ion–dipole interactions, which allows it to self-heal. The material can retain its shape in wet and dry surroundings, and works well in sea water, and acidic and alkaline environments.

The electronic skin is created by printing the novel material into electronic circuits.  Being soft and stretchable, the material’s electrical properties change when touched, pressed or strained.

Said Asst Prof Tee, who is also from NUS Electrical and Computer Engineering and the Biomedical Institute for Global Health Research and Technology (BIGHEART) at NUS, “The 3D printability of our material also shows potential in creating fully transparent circuit boards that could be used in robotic applications. We hope that this material can be used to develop various applications in emerging types of soft robots.

Soft robots and soft electronics in general, aim to mimic biological tissues to make them more mechanically compliant for human-machine interactions. In addition to conventional soft robot applications, this novel material’s waterproof technology enables the design of amphibious robots and water-resistant electronics.

The self-healing electronic skin has the potential to reduce waste.  Millions of tonnes of electronic waste from broken mobile phones and tablets, among others, are generated globally every year.  The team hopes to create a future where electronic devices made from intelligent materials can perform self-repair functions to reduce the amount of electronic waste in the world.

New post published on: https://www.livescience.tech/2019/03/18/water-resistant-and-self-healing-electronic-skin/