ACM - Association for Computing Machinery

ACM - Association for Computing Machinery ACM, the Association for Computing Machinery is the world's largest educational and scientific computing society. We're an international society of educators, scientists, technologists and engineers dedicated to the advancement of computer science.

We offer world-class publications, conferences, and more.

We offer world-class publications, conferences, and more.

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Given the pandemic, important new trends are emerging in the world of hybrid work. For management experts and IT leaders...
09/11/2021

Given the pandemic, important new trends are emerging in the world of hybrid work. For management experts and IT leaders, especially important are issues related to productivity and output. Many employers and managers found that, on balance, productivity remained high during remote work days.

The vast majority (94 percent) of employers surveyed by Mercer in 2020 said their company productivity was actually the same (67 percent) or higher (27 percent) than it was before the pandemic. Nevertheless, workplace leaders should be identifying key productivity metrics in order to assess workforce productivity going forward.

Read more via the The Enterprisers Project : https://red.ht/3DUjfmM

Given the pandemic, important new trends are emerging in the world of hybrid work. For management experts and IT leaders, especially important are issues related to productivity and output. Many employers and managers found that, on balance, productivity remained high during remote work days.

The vast majority (94 percent) of employers surveyed by Mercer in 2020 said their company productivity was actually the same (67 percent) or higher (27 percent) than it was before the pandemic. Nevertheless, workplace leaders should be identifying key productivity metrics in order to assess workforce productivity going forward.

Read more via the The Enterprisers Project : https://red.ht/3DUjfmM

COMPUTE 2021, the annual conference organized by ACM India and the iSIGCSE Chapter, will be hosted by University of Delh...
09/11/2021

COMPUTE 2021, the annual conference organized by ACM India and the iSIGCSE Chapter, will be hosted by University of Delhi and will be held in virtual mode 21-23 October.

Register here: https://bit.ly/3eAsDBl

COMPUTE 2021, the annual conference organized by ACM India and the iSIGCSE Chapter, will be hosted by University of Delhi and will be held in virtual mode 21-23 October.

Register here: https://bit.ly/3eAsDBl

In their ACM Queue article, “Declarative Machine Learning Systems,” Piero Molino and Christopher Ré suggest that the nex...
09/10/2021

In their ACM Queue article, “Declarative Machine Learning Systems,” Piero Molino and Christopher Ré suggest that the next wave of ML system development will likely be undertaken by a substantially larger number of people, potentially without any coding skills, performing the same tasks as today’s ML developers. Declarative interfaces will make this possible, freeing ML developers from fully understanding all the details of how models are trained and used for obtaining predictions.

In their article Molino and Ré describe how ML is now structured, the issues ML systems face, and how their Overton and Ludwig systems address these challenges. The authors also explore what can be learned from the development of ML systems throughout the years and what the next generation of ML systems will look like.

Read more here: https://bit.ly/2VrkcBC

In their ACM Queue article, “Declarative Machine Learning Systems,” Piero Molino and Christopher Ré suggest that the next wave of ML system development will likely be undertaken by a substantially larger number of people, potentially without any coding skills, performing the same tasks as today’s ML developers. Declarative interfaces will make this possible, freeing ML developers from fully understanding all the details of how models are trained and used for obtaining predictions.

In their article Molino and Ré describe how ML is now structured, the issues ML systems face, and how their Overton and Ludwig systems address these challenges. The authors also explore what can be learned from the development of ML systems throughout the years and what the next generation of ML systems will look like.

Read more here: https://bit.ly/2VrkcBC

This week's featured ACM member resource is the online book, “Fuzzy Neural Networks for Real Time Control Applications” ...
09/10/2021

This week's featured ACM member resource is the online book, “Fuzzy Neural Networks for Real Time Control Applications” by Erdal Kayacan and Mojtaba Ahmadieh Khanesar: https://bit.ly/38M2AmW

This book offers a valuable and unique overview into the type-2 fuzzy logic systems and the parameter update algorithms for type-1 and type-2 fuzzy neural networks and their stability analysis. Not only does this book stand apart from others in its focus but also in its application-based presentation style.

Join ACM to access this and and more than 5,000 books in ACM's Elsevier ScienceDirect eBook Collection: https://bit.ly/3eW5aIq

This week's featured ACM member resource is the online book, “Fuzzy Neural Networks for Real Time Control Applications” by Erdal Kayacan and Mojtaba Ahmadieh Khanesar: https://bit.ly/38M2AmW

This book offers a valuable and unique overview into the type-2 fuzzy logic systems and the parameter update algorithms for type-1 and type-2 fuzzy neural networks and their stability analysis. Not only does this book stand apart from others in its focus but also in its application-based presentation style.

Join ACM to access this and and more than 5,000 books in ACM's Elsevier ScienceDirect eBook Collection: https://bit.ly/3eW5aIq

A new computational platform developed by biomedical engineers at Duke University  allows non-experts to create patient-...
09/10/2021

A new computational platform developed by biomedical engineers at Duke University allows non-experts to create patient-specific, 3D models of nerves being electrically stimulated. The open-source Automated Simulations to Characterize Electrical Nerve Thresholds (ASCENT) software platform will enable scientists to predict nerve response to different types of stimulation and to accurately simulate new therapies for various diseases. Researchers can also use the platform to replicate models from previously published research, generating results in days or weeks that previously would have taken years to produce.

Read more via Duke: https://bit.ly/3DxChiE

A new computational platform developed by biomedical engineers at Duke University allows non-experts to create patient-specific, 3D models of nerves being electrically stimulated. The open-source Automated Simulations to Characterize Electrical Nerve Thresholds (ASCENT) software platform will enable scientists to predict nerve response to different types of stimulation and to accurately simulate new therapies for various diseases. Researchers can also use the platform to replicate models from previously published research, generating results in days or weeks that previously would have taken years to produce.

Read more via Duke: https://bit.ly/3DxChiE

The ACM India Council is now offering September slots for the #PhDClinic. The purpose of the PhD Clinic is to help PhD s...
09/10/2021

The ACM India Council is now offering September slots for the #PhDClinic. The purpose of the PhD Clinic is to help PhD students across the country to get feedback and suggestions on their work from subject matter experts. Any PhD student (not restricted to ACM members) can sign up for the Clinic.

The clinic offers PhD students the opportunity to connect with and receive feedback from mentors in a wide-range of topics including human computer interaction, machine learning, blockchain, cryptography, IoT, wireless network design, cybersecurity, information retrieval and more.

Register here//bit.ly/3st9rtv

The ACM India Council is now offering September slots for the #PhDClinic. The purpose of the PhD Clinic is to help PhD students across the country to get feedback and suggestions on their work from subject matter experts. Any PhD student (not restricted to ACM members) can sign up for the Clinic.

The clinic offers PhD students the opportunity to connect with and receive feedback from mentors in a wide-range of topics including human computer interaction, machine learning, blockchain, cryptography, IoT, wireless network design, cybersecurity, information retrieval and more.

Register here//bit.ly/3st9rtv

Join ACM Boston tonight, September 9, at 7:00 PM for the online meetup, “Implementing Symbols and Rules with Neural Netw...
09/09/2021

Join ACM Boston tonight, September 9, at 7:00 PM for the online meetup, “Implementing Symbols and Rules with Neural Networks” with speaker Ellie Pavlick, the Manning Assistant Professor of Computer Science at Brown University, and Research Scientist at Google AI Challenge.

The event will focus on topics in computer science such as predictive analytics, applied machine learning, statistical modeling, open data, data visualization, user experience, user research, and artificial neural networks.

Register here: https://bit.ly/3jWpdvt

ACM Local Meetups help thousands of smart technical people connect with peers and solve challenges together. Learn about meetups in your area and how to organize ACM Local Meetups in your city and expand your network: https://bit.ly/3qCeln1

Join ACM Boston tonight, September 9, at 7:00 PM for the online meetup, “Implementing Symbols and Rules with Neural Networks” with speaker Ellie Pavlick, the Manning Assistant Professor of Computer Science at Brown University, and Research Scientist at Google AI Challenge.

The event will focus on topics in computer science such as predictive analytics, applied machine learning, statistical modeling, open data, data visualization, user experience, user research, and artificial neural networks.

Register here: https://bit.ly/3jWpdvt

ACM Local Meetups help thousands of smart technical people connect with peers and solve challenges together. Learn about meetups in your area and how to organize ACM Local Meetups in your city and expand your network: https://bit.ly/3qCeln1

Gradient descent is an essential tool of modern applied research and is used for finding the largest or smallest values ...
09/09/2021

Gradient descent is an essential tool of modern applied research and is used for finding the largest or smallest values of a particular mathematical function. However, there are many common problems for which it does not work well. Researchers from the University of Oxford and the University of Liverpool have used computational complexity theory to help understand of exactly what makes gradient descent struggle and when. Their paper, “The Complexity of Gradient Descent: CLS = PPAD ∩ PLS,” received a Best Paper Award at STOC 2021, the ACM Symposium on Theory of Computing.

Read more via WIRED: https://bit.ly/3yS5scD

Gradient descent is an essential tool of modern applied research and is used for finding the largest or smallest values of a particular mathematical function. However, there are many common problems for which it does not work well. Researchers from the University of Oxford and the University of Liverpool have used computational complexity theory to help understand of exactly what makes gradient descent struggle and when. Their paper, “The Complexity of Gradient Descent: CLS = PPAD ∩ PLS,” received a Best Paper Award at STOC 2021, the ACM Symposium on Theory of Computing.

Read more via WIRED: https://bit.ly/3yS5scD

More private information sharing is possible with a new quantum fingerprinting (QF) protocol developed by researchers at...
09/08/2021

More private information sharing is possible with a new quantum fingerprinting (QF) protocol developed by researchers at University of Toronto . The protocol encodes data by tapping the many frequencies of a photon's quantum state. U of T's Li Qian said, "As the data string becomes larger and larger, quantum fingerprinting can drastically reduce the amount of information that you need to exchange," which reduces the possibility of information leakage.

The enhanced QF protocol uses multiplexing to expedite communications and lower QF's susceptibility to photon-detector noise. Said Qian, "It makes QF a more practical option. We can use off-the-shelf components: run-of-the-mill semiconductor-based single photon detectors, which are orders of magnitude cheaper than superconductor detectors."

Read more here via University of Toronto : https://bit.ly/3h2Wmns

More private information sharing is possible with a new quantum fingerprinting (QF) protocol developed by researchers at University of Toronto . The protocol encodes data by tapping the many frequencies of a photon's quantum state. U of T's Li Qian said, "As the data string becomes larger and larger, quantum fingerprinting can drastically reduce the amount of information that you need to exchange," which reduces the possibility of information leakage.

The enhanced QF protocol uses multiplexing to expedite communications and lower QF's susceptibility to photon-detector noise. Said Qian, "It makes QF a more practical option. We can use off-the-shelf components: run-of-the-mill semiconductor-based single photon detectors, which are orders of magnitude cheaper than superconductor detectors."

Read more here via University of Toronto : https://bit.ly/3h2Wmns

Researchers at Penn State ,  University of Toronto and Columbia University in the City of New York have developed an alg...
09/07/2021

Researchers at Penn State , University of Toronto and Columbia University in the City of New York have developed an algorithm that can retrieve ranked choices by combining people's own opinions or votes with their predictions of others' responses. The technique expands on the ‘surprisingly popular method,’ a process for soliciting the wisdom of a crowd, by exploiting the knowledge of a small number of experts in a larger group to find the correct answer.

Penn State's Hadi Hosseini said, "Our technique shows that we can predict a ground-truth ranking with high accuracy without the need for massive data collection." The method outperforms conventional voting strategies, like simple majority rule, that do not ask respondents to predict others' responses.

Read more via Penn State News: https://bit.ly/3zxzBPv

Researchers at Penn State , University of Toronto and Columbia University in the City of New York have developed an algorithm that can retrieve ranked choices by combining people's own opinions or votes with their predictions of others' responses. The technique expands on the ‘surprisingly popular method,’ a process for soliciting the wisdom of a crowd, by exploiting the knowledge of a small number of experts in a larger group to find the correct answer.

Penn State's Hadi Hosseini said, "Our technique shows that we can predict a ground-truth ranking with high accuracy without the need for massive data collection." The method outperforms conventional voting strategies, like simple majority rule, that do not ask respondents to predict others' responses.

Read more via Penn State News: https://bit.ly/3zxzBPv

Register now for the ACM India and iSIGCSE Chapter Education Webinar "Fostering an Inclusive Computing Culture" to be pr...
09/07/2021

Register now for the ACM India and iSIGCSE Chapter Education Webinar "Fostering an Inclusive Computing Culture" to be presented on Saturday 11 September 2021 at 6:30pm IST by Padmanabhan Seshaiyer a professor at George Mason University.

Learn more here: https://bit.ly/3gPB3p9

Register now for the ACM India and iSIGCSE Chapter Education Webinar "Fostering an Inclusive Computing Culture" to be presented on Saturday 11 September 2021 at 6:30pm IST by Padmanabhan Seshaiyer a professor at George Mason University.

Learn more here: https://bit.ly/3gPB3p9

New imaging and machine learning (ML) tools developed by University of Illinois Urbana-Champaign (U of I) scientists can...
09/07/2021

New imaging and machine learning (ML) tools developed by University of Illinois Urbana-Champaign (U of I) scientists can analyze the genomic features of plant leaves as a means of increasing water-use efficiency for crops. The team analyzed lighter green pores (stomata) on leaves of corn, sorghum, and grasses of the genus Setaria to determine their role in water-use efficiency during photosynthesis.

U of I's Jiayang Xie repurposed an ML tool designed to help driverless cars navigate complex environments into an application that could rapidly identify, count, and measure thousands of cells and cell features in each leaf sample. According to U of I’s Andrew Leakey, the researchers found “the size and shape of the stomata in corn appeared to be more important than had previously been recognized,” which will inform future efforts to breed crops that use water more efficiently.

Read more via U of I: https://bit.ly/3zkkNUv

New imaging and machine learning (ML) tools developed by University of Illinois Urbana-Champaign (U of I) scientists can analyze the genomic features of plant leaves as a means of increasing water-use efficiency for crops. The team analyzed lighter green pores (stomata) on leaves of corn, sorghum, and grasses of the genus Setaria to determine their role in water-use efficiency during photosynthesis.

U of I's Jiayang Xie repurposed an ML tool designed to help driverless cars navigate complex environments into an application that could rapidly identify, count, and measure thousands of cells and cell features in each leaf sample. According to U of I’s Andrew Leakey, the researchers found “the size and shape of the stomata in corn appeared to be more important than had previously been recognized,” which will inform future efforts to breed crops that use water more efficiently.

Read more via U of I: https://bit.ly/3zkkNUv

ACM Focus is a new way to explore the breadth and variety of ACM content, and to stay current with the latest trends in ...
09/07/2021

ACM Focus is a new way to explore the breadth and variety of ACM content, and to stay current with the latest trends in your technical community. ACM Focus consists of a set of AI-curated custom feeds by subject, each serving up a focused set of the latest relevant ACM content that provides overall awareness of relevant ACM activities, people, talks and a variety of published works.
Explore ACM Focus today! https://bit.ly/3syGgFb

ACM Focus is a new way to explore the breadth and variety of ACM content, and to stay current with the latest trends in your technical community. ACM Focus consists of a set of AI-curated custom feeds by subject, each serving up a focused set of the latest relevant ACM content that provides overall awareness of relevant ACM activities, people, talks and a variety of published works.
Explore ACM Focus today! https://bit.ly/3syGgFb

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I want to get access to ACM Digital Library, and O'Reilly. Which membership type I should get?
Hello everyone, I am almost in my last week of data collection as part of the requirements for my doctoral Dissertation. I need more participants for survey to be approved. I would be extremely grateful if you could complete the attached survey to meet the deadline. https://docs.google.com/forms/d/e/1FAIpQLSdPod82saO4hKABMFBVfJ6P-GkWhU3_Fx_HneeSUXElWNnl8A/viewform?usp=sf_link It is completely anonymous, and the survey does not collect your credentials. Thank you very much.
Hello everyone, I am still in my data collection phase as part of the requirements for my doctoral Dissertation. I honestly need about 30 more participants for the survey to be acceptable. I would be extremely grateful if you could complete the attached survey to help me meet the deadline. Thank you so much.
Hi everyone, I am in my last couple of weeks of data collection as part of the requirements for my doctoral Dissertation. I still need about 80 more participants for an acceptable survey. I would be extremely grateful if you could complete the attached survey. https://docs.google.com/forms/d/e/1FAIpQLSdPod82saO4hKABMFBVfJ6P-GkWhU3_Fx_HneeSUXElWNnl8A/viewform?usp=sf_link It is completely anonymous, and the survey does not collect your credentials. Thank you very much.
You are invited to participate in a Dissertation survey on the "security by design" of the IoT-enabled home automation devices and applications. Please follow the link here to complete the survey. https://docs.google.com/forms/d/e/1FAIpQLSdPod82saO4hKABMFBVfJ6P-GkWhU3_Fx_HneeSUXElWNnl8A/viewform?usp=sf_link .This is not a phishing campaign and for any concerns, please contact the Principal Investigator (PI) and Professor at Marymount University at 352-391-3674 or the Marymount University’s Institutional Review Board (IRB) via email, [email protected], or phone, (703) 526-6898. Thank you for your time.
We’ll be hosting the 'Fundamentals of Deep Learning Workshop' at Applied Machine Learning Days Africa on 09:00-14:00, September 4. Join other AI & Machine Learning Experts to find out the latest in the application of these technologies in the field of health care, retail business, personalization, and automation through image and natural language processing. The #AMLDAfrica2021 event is happening from the 2nd to the 4th of September with 6 domain-specific tracks, diverse and exciting content for this first edition, and networking opportunities. Find out more on: https://appliedmldays.org/events/amld-africa-2021 #AMLDAfrica2021
Computer by itself created 40000 inventions I believe that with the help my work (which is outlined here http://www.55255.ru/) of mine, two companies (independently of each other) created programs, with the help each of these programs, the computer by itself can invent many inventions. As a result of this, the computer by itself created 40000 inventions. The addresses of the sites of these companies such http://www.method.ru/, https://www.truemachina.com/ But the creators of these programs apparently has not published information that they have used (I suppose) my abovementioned work for create these programs. Thanks to this our company striving for creation for the third time with the help of this my work of the program using which a computer could independently invent many inventions. I offer you cooperation in this. The computer with the help of the program "True Machina" created 40000 (forty thousand) inventions, this is Tsurikov said at the end of the film which is located at https://www.youtube.com/watch?v=0by8g0G0HRI and at the end of this film Tsurikov said that he (and his company) was for to create the program "True Machina" used published invention methods which he and his company did not create. It was only at the end of 2018 that the computer began to create inventions by itself through the program created by Tsurikov and his assistants. I published this my work in 1981 year. The business plan: I am the Director of company «Tonna zolota». I will hire three programmers. And in one year they will easily create a program with the help of this work, by means of which a computer will be able to invent many inventions by itself. For the salary of programmers and other expenses $ 50000 will be necessary. 49% of profit on sale of inventions (and the other) will be yours, and 51% our company. To implement this plan it is necessary that you give our company $ 50000 or hire three programmers yourself. Yours faithfully, Shmonov Aleksandr
I have nearly 50 years of Communications of the ACM in print. This includes both the 25th and 50th anniversary editions. Would anyone like all or part of this collection? Otherwise it will sadly go to be recycled. Message me if interested.
Illinois Institute of Technology in Chicago is seeking a dynamic individual to lead its Department of Information Technology and Management as Chair, beginning in the 2021-2022 academic year. The ITM Department offers undergraduate and graduate degrees in Information Technology and Cybersecurity, is accredited by the Computing Accreditation Commission of ABET, and is designated a National Center of Academic Excellence in Cyber Defense Education. We hosted the 2018 WiCyS Conference and are active supporters of ACM SIGITE. Full details are at https://www.iit.edu/itm/about/faculty-postings
Ivannikov is the head IEEE of Russia. FSB special operation, a disguised murder that leaves no trace. Spy bookmarks for programs Samsung and Huawei. The tragic death of a scientist in Russia. Need translate link from Russian. https://ghall.com.ua/2020/12/07/fsb-vnedrilo-shpionskie-zakladki-v-programmy-dlya-samsung-i-huawei-syn-pogibshego-akademika-ran/?fbclid=IwAR30XrtZOKyhP4kLKT8PS1ChuKTILLKyhP4kNHKT8PfR
Cognitive Signal Processing ( dyslexia , astigmatism , autism ) Pattern Recognition Flexibility The future of effective learning is combined with pattern recognition technology.It is known that difficulties in perception of any information, including musical one, cause strain of the main functional systems in the child’s body. Statistics and practice show , the period of learning with using of the generally accepted music grammar is pulled for several years. At early stage of learning upto thirty percent of children lose their interest to the music subject and leave study. This situation is explained by the excessive load arising at the first contact of the child with a complex format to learn a piano. In order to protect the health of parents and children , in response to COVID -19 , we propose to replace face-to-face music training with remote music learning. We would like to share a technological resource that can both reduce the risk of severe disease and simplify the methods of initial music training. Numeric Cognition 3345. 5432. 1123. 3020. 3345. 5432. 1123. 2010. Ode to Joy Ludvig van Bethoven 3330. 3330. 3512. 3000. 4444. 4333. 3223. 2050. 3330. 3330. 3512. 3000. 4444.4333. 3554. 2010. Jingle Bells Formatted lessons give a positive result regardless of the platform both interactive and online lessons.The above should not be understood as a rejection of generally accepted music teaching in the classrooms but to protect the health of children and adolescents, online learning technology will be effective and successful. The Project "Reflection " is aimed at studying the somatosensory integration of nerve signals in the main functional systems of the child’s organism : the central nervous system, auditory ,muscular , visual , using electrophysiology measurement techniques - ENG, EMG,EEG, Audiometry. Method EEG allows to research the difference of the integrated synaptic signals , to make the comparative diagrams of dynamics of initiated spikes while perception music metric and digital patterns, plus the time of fatigue of synaptic structures and cells - neurons of cortex is determined . Method ENG - EMG completes one another, joints the visual analyzer with the neuro-motorfunction of fingers and proves , from scientific point of view , the development of muscular fatigue in hands depending on the quantity of eyeballs’ fluctuations. Method Audiometry allows to research the increment of sensitivity to the functional sounds ( pure-tone ,high - low pitched,brain waves, beta range) plus the behavioral audiometry. Kids in modern world should receive the most effective teaching technologies. https://lnkd.in/gdUvDRS https://issuu.com/sergeystepanov0/docs/digital_key.docx NeuromusicLab Reflection Ukraine
Does ACM have health insurance and how do you find out more details about it?[email protected]