Global Science of Learning in this time of great education and economic upheaval (May 2020 Virtual meeting)

At #SDSC24, Ruth Wetters, Data Scientist at Knight Frank demonstrated how network science and data analytics are applied to understand flight patterns, assess risks, identify investment opportunities, and analyze market trends.

Benjamin D. Haeffele, René Vidal
The past few years have seen a dramatic increase in the performance of recognition systems thanks to the introduction of deep networks for representation learning. However, the mathematical reasons for this success remain elusive. A key issue is that the neural network training problem is nonconvex, hence optimization algorithms may not return a global minima. This paper provides sufficient conditions to guarantee that local minima are globally optimal and that a local descent strategy can reach a global minima from any initialization. Our conditions require both the network output and the regularization to be positively homogeneous functions of the network parameters, with the regularization being designed to control the network size. Our results apply to networks with one hidden layer, where size is measured by the number of neurons in the hidden layer, and multiple deep subnetworks connected in parallel, where size is measured by the number of subnetworks.

🌐 Join us at the International Research Awards on Network Science and Graph Analytics – Global Excellence Awards! Celebrating innovation, collaboration, and excellence, this prestigious event honors 1,000+ winners selected from 1,500 nominations across 100+ countries. 🏆 Discover groundbreaking research that shapes the future of data, networks, and analytics. Backed by global sponsors and an engaged professional community, this event spotlights leadership and impactful contributions in the field. Stay tuned for the launch of our ORCID-Verified Voting System, enhancing transparency and recognition. 🎓🔗 Let’s celebrate the pioneers advancing network science worldwide!

International Research Awards on Network Science and Graph Analytics

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The Open Science Across Geographies Speaker Series aims to highlight, connect, and understand researcher practices in open science worldwide and help bridge the language barrier. In this webinar, we focus on the Chinese Open Science Network (COSN), an organization dedicated to fostering global collaboration and understanding in the field of open science. Learn more about open science perspectives from Chinese researchers in publishing, government, and policy.

The XOR logic gate is an excellent example of a neural network that can be trained and utilized to solve complex problems. A non-linear decision boundary is needed as the XOR logic gate is not linearly separable. This means that a multi-layer neural network is needed.

Backpropagation will be used to train the network, and how this is done will be shown with an architecture diagram and with the equations. A numerical example will be provided to show how the equations are solved.

To train the network, 40,000 epochs are run to optimize the weights and biases. The network was trained using both stochastic and batch gradient descent, which resulted in similar solutions.

Adding noise to the input points in conjunction with adding a hidden layer made it so the resulting decision boundary plot was very close to the ideal case.

27 October 2020, CGHE webinar
Simon Marginson, University of Oxford

Using secondary data sourced originally in Web of Science and Scopus, the paper begins with four empirical tendencies in world science: rapid growth in the volume of published science; expansion in the number of countries with scientific capacity so that science is no longer dominated by the traditional duopoly of United States/Western Europe, together with Japan; rapid growth in international collaboration; and diversification of the group of leading research countries, so that power in science is becoming more plural. In part drawing on research in scientometrics, the paper then goes on discuss what lies behind these tendencies – and on what they might imply for the nature of knowledge, for relations of power in science, and for the potential for science to pursue the global common good.

Networked global science is expanding at such a rapid rate that some researchers of science argue that shared global activity is now more determining of science that are national systems funded by governments. Yet most analysis of global science focuses on comparisons and competition between countries (the ‘arms race in innovation’), obscuring the fact of widespread cooperation at the global level. What drives networked collaboration between scientists: is it shared knowledge accumulation, or is it self-interest and making careers as is suggested by theories of ‘professional attachment’? Who are scientists loyal to, their disciplines or national governments? Is science subordinated to global capitalism or does it have autonomy? Can science in a nation-bound world survive government or corporate efforts to suppress its key messages on global issues? And how should we understand the recent rise of national science outside the traditional duopoly, not only in China, South Korea and Singapore but in countries such as India, Iran and Brazil? How open is science to emerging countries? What does multi-polarity mean in science? Will Anglo-American hegemony in global knowledge continue or is it already breaking down?

In this video, I show how to build an SR latch, a gated SR latch, and a data latch using individual transistors.
0:00 Intro
0:29 Two Transistor SR Latch
1:04 OR Gate Latch
2:03 NOR Gate SR Latch
4:52 NAND Gate SR Latch
6:52 Gated SR Latch
9:27 Data Latch
11:18 Data Latch vs Data Flip Flop

2019 NEOLIFE CONVENTION Dr Julie Chen declared that what we have is extraordinary & that we're truly Soldiers Against Chronic Disease & Champions of Health and Wellness. She affirmed that so many people are so close to wellness & that food has the answers.

The TVG Conference Network includes industry-leading events across the US, Canada, China, Europe, Australia, Latin America, India, and Asia. TVG conferences are focused on facilitating business development, providing an open and vibrant format that allows delegates to pre-book meetings and share agendas before the event date. Delegates move quickly from one meeting to the next — getting business done efficiently. Thought-leader panels address critical topics and provide "open-mic" opportunities for all delegates to voice their opinions or question the panelists. Our goal is to optimize your time and increase your return by providing every opportunity for you to participate and have a valuable experience.

Data Flip Flop and JK Flip Flop

0:00 Intro
0:30 Data Flip Flop vs Data Latch
1:05 Data Flip Flop
2:40 Trigger 1, (using AND gate and inverters)
5:21 Trigger 2 (using capacitor and resistor)
9:22 JK Flip Flop
11:33 JK Flip Flop with edge-triggered clock

How to build a data flip-flop and a JK flip-flop using individual transistors will be discussed in detail. The flip flops are triggered by a clock which, in this case, is an astable multivibrator. The inverted clock output is sent into the trigger which is then sent to the input of the flip flops. Push button switches can also be used to toggle the set, rest, J, K, and data inputs. The output of the clock, trigger, and data flip-flops are displayed on an oscilloscope to help show how the flip-flops work.

SciDev.Net marked its 20th anniversary with an online event at which the team published the Global Science Journalism Report 2021 and an event Magazine. This video presents what transpired at the first part of the event.