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Friday, April 03, 2020

Suggested Books Today | Books - Helge Scherlund's eLearning News

Check out these books below by Cambridge University Press.

Photo: JumpStory
The Cambridge Foucault Lexicon

The Cambridge Foucault Lexicon
The Cambridge Foucault Lexicon is a reference tool that provides clear and incisive definitions and descriptions of all of Foucault's major terms and influences, including history, knowledge, language, philosophy and power...

Together, they shed light on concepts key to Foucault and to ongoing discussions of his work today.
  • The only book like it in print, in any language, offering concise and accessibly-written entries on Foucault's key concepts
  • Provides the most comprehensive collection of dictionary-style entries written about Foucault
  • Includes entries written by the world's most prominent Foucault scholars
Date Published: March 2020

Resisting Scientific Realism 

Resisting Scientific Realism
In this book K. Brad Wray provides a comprehensive survey of the arguments against scientific realism. In addition to presenting logical considerations that undermine the realists' inferences to the likely truth or approximate truth of our theories, he provides a thorough assessment of the evidence from the history of science...

His arguments are supported and illustrated by cases from the history of science, including a sustained study of the Copernican Revolution, and a study of the revolution in early twentieth century chemistry, when chemists came to classify elements by their atomic number rather than by their atomic weight.
  • Includes a thorough examination of the historical evidence and logical considerations that threaten scientific realism
  • Presents a compelling defense of anti-realism
  • Provides a sustained study of the Copernican Revolution in astronomy to illustrate some of the key issues in the realism/anti-realism debate, and a study of a hitherto unnoticed revolution in early twentieth-century chemistry
Date Published: March 2020

The Attending Mind 

The Attending Mind
An ancient metaphor likens attention to an archer pulling her bow - the self directing her mind through attention. Yet both the existence of such a self, and the impact of attention on the mind, have been debated for millennia. Advancements in science mean that we now have a better understanding of what attention is and how it works, but philosophers and scientists remain divided as to its impact on the mind...

It thus provides a new way of thinking about the mind - as something that can either shape itself through attention or engage with the world as it is given, relying on its habits and skills.
  • Helps the reader to navigate both historical and contemporary research on attention in philosophy, cognitive science, psychology and neuroscience
  • Explores key topics such as mental causation, top-down attention and working memory
  • Suggests new theoretical approaches towards the self, perception, consciousness and action
Date Published: March 2020 

An Introduction to Functional Analysis
An Introduction to Functional Analysis
This accessible text covers key results in functional analysis that are essential for further study in the calculus of variations, analysis, dynamical systems, and the theory of partial differential equations. The treatment of Hilbert spaces covers the topics required to prove the Hilbert–Schmidt theorem, including orthonormal bases, the Riesz representation theorem, and the basics of spectral theory...

Familiarity with the basic theory of vector spaces and point-set topology is assumed, but knowledge of measure theory is not required, making this book ideal for upper undergraduate-level and beginning graduate-level courses.
  • Includes an extensive source of homework problems for instructors and independent study
  • Presents functional analytical methods without a reliance on measure-theoretic results, making the topics more widely accessible
  • Provides readers with a sense of accomplishment and closure by showing how both Hilbert space theory and Banach space theory aim towards major results with important applications
Date Published: March 2020

During Coronavirus - Social Distancing:
Stay home and switching to eLearning and read

Source: Cambridge University Press.

Henniker students learn about robotics | Community - Concord Monitor

All students in seventh and eighth grades at the Henniker Community School all take a six-week intro to robotics class taught by Aaron Boucher as part of their STEM learning during the school year by Concord Monitor.
Jacob Winn and Peyton Sterling test their robot in class in early March. Courtesy of SAU 24.
During the six-week session, students become familiar with the basics of programming a robot and can complete individual challenge programming tasks. They also work in teams to complete their tasks as a group and build upon on one another’s challenge successes so it takes less time to complete all of the group’s assigned challenges in the least amount of time.

“No question, the learning curve with the robots, in the beginning, is steep, said Boucher. “But in the end, everyone seems to enjoy the class as they see their robot zipping around the mat and doing exactly the task they were programmed to do.”...

... “There are a lot of jobs in programing and this class gives you a preview of what you might want in a career using technology.”

Source: Concord Monitor

How a Real Dog Taught a Robot Dog to Walk | Science - WIRED

Matt Simon, science journalist at WIRED summarizes, Instead of coding a mechanical quadruped's movements line by line, Google researchers fed it videos of real-life pups. Now it can even chase its tail.

Photo: Kiyoshi Ota/Getty Images

What you see when Boston Dynamics’ humanoid robot does a backflip or its Spot dog robot fights off a human and opens a door is incredible hardware engineering, to be sure. But what you don’t see is the wildly complex underlying code that makes it possible. What comes so easily to you—OK maybe not backflips, just walking—requires extreme coordination, which roboticists have to replicate, a kind of dance of motors working in concert.

Pity the engineers who have to write out all that code. Over at Google, researchers have a secret weapon to teach robots to move that’s both less taxing and more adorable: dogs. They put the canines on treadmills and take motion-capture videos, then feed that data into a simulator to create a digital version of the pooch. The researchers then translate the digital version of the real dog into a digital version of their four-legged robot—Laikago, which has a rectangular body and skinny legs. Then they port those algorithms into the physical version of Laikago. (The robot is named, by the way, after Laika, the Soviet space dog who was the first animal to orbit Earth.)

A robot works quite differently than a biological dog; it has motors instead of muscles, and in general it’s a lot stiffer. But thanks to this translation work, Laikago has learned to move like a real-life canine. Not only that, its learned gait is faster than the fastest gait provided by the manufacturer of the robot—though in fairness it’s not yet as stable. The new system could be the first steps (sorry) toward robots that learn to move not thanks to exhaustive coding, but by watching videos of animals running and jumping...

The next challenge is known as sim-to-real; that is, taking what the system has learned in simulation and getting it to work in a physical robot. This is tricky because a simulation is an imperfect and highly-simplified version of the real world. Mass and friction are represented as accurately as possible, but not perfectly. The actions of the simulated robot in the digital world don’t map precisely to movements of the real robot in the lab.

Source: WIRED

The AI ethics review - eight sticking points we haven't resolved | Machine intelligence and AI - Diginomica

AI tech is moving quickly - but the ethical problems aren't going away. Here's eight AI ethics issues that persist, explains Neil Raden, active industry analyst, consultant.

Photo: Diginomica
Well over three years ago, I started to research and write about AI Ethics. Den Howlett of diginomica interviewed me about the topic in an article in September, 2018 - Can AI be bounded by an ethical framework?

I have since written about various aspect of AI and AI ethics for diginomica. Though I stand by the principles in those documents, they are neither comprehensive, nor completely current.

AI is moving so fast, and new ethical issues are apparent. It is time to review the subject, first by commenting on what has materially changed in the last few years, and what ethical issues have arisen...

This is hardly a complete list - so it will be a recurring series.

Source: Diginomica

Can data save us from coronavirus? | Technology - Financial Times

Big data and machine learning should be helping contain the pandemic — but their usefulness has been limited, continues Financial Times.

Will data science save us from the pandemic? 

Photo: JumpStory
Big data and machine learning — the twin engines behind the recent boom in artificial intelligence — have been touted in the tech world as technologies capable of delivering huge social benefit. 

Watching them being applied to a global health crisis unfolding in real time shows both their promise and their shortcomings. Machine-learning systems employ a form of pattern recognition that is of broad use at a time like this, according to Fei-Fei Li, co-director of Stanford University’s Institute for Human-Centered AI. She was speaking at a hastily-arranged online conference this week to consider the many ways that AI is being brought to bear...

It is too soon to tell whether these and many other attempts to break down the barriers and make existing bodies of information more useful are coming soon enough to have a marked impact on the fight against the threat from Covid-19. But they at least point to one silver lining from this pandemic. The new forms of data sharing they are forcing should provide a template for when the next health crisis hits, as well as better co-ordination inside and between healthcare systems to improve the quality of care even in normal times.

Source: Financial Times

How To Leverage Artificial Intelligence And Machine Learning During A Pandemic | AI - Forbes

After the COVID 19 crisis is over, business success or failure may come down to whether companies have taken advantage of Artificial Intelligence (AI) and Machine Learning (ML) technologies, as Emil Sayegh, President and CEO at Ntirety Inc. reports.

Digital Landscape (Black)
Photo: Forbes
To say that change is a constant is an understatement with the coronavirus turning the whole world upside down.

Paired with accelerating cloud technologies where there seems to be no “finish line,” we find ourselves in an environment that is more and more of a challenge for the IT skills of internal teams to keep up.

In one of my previous articles “3 Steps To Address The Cloud Talent Drought,” we found that relieving the growing skills gap is becoming a great motivator for increased automation, driven by artificial intelligence (AI) and Machine Learning (ML). After this pandemic is over, there will be business winners and losers. Organizations that view these technologies as a critical differentiator will create a wide range of business advantages for themselves both during and after the pandemic subsides. With a combination of AI and ML, executives – and especially CIOs – will be able to view and act on better information and more in-depth analytics, enabling them to drive a faster business transformation...

Winners and Losers
Intelligent systems increasingly speed up and disrupt status-quo processes, freeing up personnel to engage better, create more with their time, and explore new possibilities. As competitive advantages line up along the powerful technologies of cloud, AI, machine learning, and automation, those that have not deployed these tools will soon be in the loser category – meaning that their competitive advantage will undoubtedly be lost. Better products, increased efficiency, minimal errors, better work conditions, and costs savings are just some of the benefits of this new realm of AI and ML that companies cannot miss out on.


Source: Forbes

Thursday, April 02, 2020

Lack of women and non-binary people in computer science remains a systemic and social issue | Campus - The Eyeopener

Students, faculty and tech workers believe more needs to be done to create supportive environments for women and non-binary people in tech, Kayla Zhu, Journalism student and freelance content creator reports.

Illustration: Nathaniel Crouch
In Vanessa Landayan’s high school computer science and robotics class, no one wanted to be her partner for projects—she was the only girl in the class.

Her classmates would refer to her as “woman,” and it “became like a meme,” says Landayan. 

Landayan, who is now a second-year Ryerson computer science student, says she has faced similar experiences in one of her predominantly male labs in her first year of university...

Women at tech companies are often evaluated for promotions differently than men, says Inmar Givoni, director of engineering at Uber Advanced Technologies Group Toronto—an Uber branch that works on machine learning for self-driving cars.

“What we know from studies, and what I’ve observed around me, is that men often get promoted based on potential and women get promoted based on what they’ve already proven,” says Givoni. 

Source: The Eyeopener 

What does that graph mean? University statistician on understanding COVID-19 numbers | Social Distancing - Mirage News

/Public Release. View in full here.

What does that graph mean? University statistician on understanding COVID-19 numbers

Photo: Jeffrey Rosenthal
But making sense of all this data can be a challenge, particularly if you’re not mathmatically inclined.

“There are a lot of numbers out there and it can be hard to follow and track them,” says Jeffrey Rosenthal, a professor in the department of statistical sciences in the University of Toronto’s Faculty of Arts & Science.

“Every different way of visualizing data is going to give a somewhat different impression. So you have to understand what they mean.”

Arts & Science writer Chris Sasaki recently asked Rosenthal what advice he’d give to Canadians trying to make sense of the numbers behind the pandemic. All figures and trends current as of March 31.

Most of the graphs we see showing the total number of cases or deaths are linear graphs, but there are also logarithmic graphs. What’s the difference between the two and what do they tell us about the pandemic?...

What else should Canadians be mindful of as we track the numbers?

When you look at total numbers, you should look at the numbers as a percentage of the population or per capita. For example, if we compare Canada to the U.S., we might expect the U.S. to have about 10 times the number of cases because they have about 10 times the population. In fact, they have more than 20 times as many cases as us right now. So, it’s not simply that they have more cases because they have more people – they have twice the cases per capita.

Source: Mirage News

Half of Sweden's population could be infected by coronavirus in April, statistician warns | Coronavirus - Daily Mail

  • Sweden has confirmed 5,466 cases of coronavirus, 282 deaths from the disease 
  • But mathematician thinks that up to 1million Swedes could already be infected 
  • Based on his calculations, 5million people could become infected by April 30
  • He expects infections to peak around April 15, with hospitals hit two weeks later
  • Sweden has so-far resisted calls to go on lockdown like other European nations

Half of Sweden's population could be infected with coronavirus by the end of the month, a statistician has warned.

Sweden has so far resisted calls to lock the country down like most other European nations, and instead advised people to 'act like adults' and socially distance themselves.
Photo: Via Reuters
Tom Britton, a mathematics professor from Stockholm University, said it is possible that up to a million people are already infected with the virus - though the country has only confirmed 5,466 cases.

Using mathematical models he believes the number of new daily infections will peak around the middle of the month, with up to 5million people infected by April 30...

Since Sweden's social distancing measures were only first introduced two weeks ago, it means they will not yet show in that data. 

Using statistical modelling, Mr Britton explained that he can work forwards from the number of infections three weeks ago to estimate how many are infected now.

The calculations are based on a number known as 'R' - which stands for the number of people the average person with the virus infects before they stop being infectious. 
Read more... 

Source: Daily Mail 

Why it’s almost impossible to insure these 5 emerging technologies | Insurance - The Next Web

Sam Golden, tech storyteller, strategist and communications pro., We’re exposed to risk every day. 

Photo: The Next Web
From crossing the road to using our phones on the toilet. Every decision is a gamble and, subconsciously or consciously, we weigh up the likelihood of something going wrong.

The insurance industry is built on this principle. Policies offer protection in the event the odds aren’t in your favor. The trick is, insurers need to be able to protect their customers 
 he field of actuarial science is devoted to this cause. Actuaries use mathematical formulas based on historical trends to model events of uncertainty. This gives insurers an idea of the likelihood of a certain event taking place.
But what about when there’s no historical data to base these assumptions on?..

These changes won’t happen overnight but the sooner we accept our insurer can help us not hinder us, the sooner the industry can transform itself from a boring afterthought into an essential part of our everyday lives.
Read more... 

Source: The Next Web 

Researchers Solve One of the Most Notorious Open Problems in Math | Science - Popular Mechanics

  • Researchers used algebra and geometry together to solve an old random walk problem.
  • Random walk ideas have informed everything from biology to video games.
  • This team identified a key geometry idea that unites some random walks and sets others apart.

It's a breakthrough in the field of random walks, explains Caroline Delbert, writer, book editor, researcher, and avid reader.

Five eight-step random walks from a central point. Some paths appear shorter than eight steps where the route has doubled back on itself.
Photo: Creative Commons
Mathematicians from the California Institute of Technology have solved an old problem related to a mathematical process called a random walk.

The team, which also worked with a colleague from Israel’s Ben-Gurion University, solved the problem in a rush after having a realization one evening. Lead author Omer Tamuz studies both economics and mathematics, using probability theory and ergodic theory as the link—a progressive and blended approach that this year’s Abel Prize-winning mathematicians helped to trailblaze.

Tamuz said in a Caltech statement that he’d explained a potential breakthrough to his students one day, then found out the next day they’d gone ahead and solved it...

The idea and principles of random walk theory are used across many disciplines. Biologists can use random walks to model how animals move and behave. Physicists use it to describe and model how particles behave. And learning how to implement versions of it has been an ongoing project for computer scientists. Some random walks appear to behave according to where they’ve already been, which is called being path dependent. Others seem to ignore their “pasts” and end up converging with other paths with different histories.

How to Lead Successful Teams when Everyone is Remote | Leadership - The Learning Blog

But normal doesn’t mean everything will come naturally—especially for managers, observes Rachel Lefkowitz, Brand and Content Marketing Manager, Learning Solutions at LinkedIn.

How to Lead Successful Teams when Everyone is Remote

How do you motivate employees while working from home? How do you keep teams engaged and connected?

If you’re a new manager who’s suddenly leading teams where everyone is remote, you’re having to quickly figure out how to operate in this new work environment. Your team, your success (and your sanity) depend on it.

You’re the hub that connects the geographically disconnected team, says Phil Gold in Managing Virtual Teams. That means it’s in your power to set the tone that will inspire trust, connection, and hard work.

Focus on these three strategies to build cohesive, high-performing teams that will weather this storm together, and come out even stronger.

Source: The Learning Blog

Monday, March 30, 2020

How many Danes are actually infected? This calculation tries to give the answer | Coronavirus - TV 2

An engineer's math has gone viral. If you make a few reservations, it can actually give a bearing on the number, experts say.
Photo: JumpStory
På bare få uger har 40 millioner mennesker på verdensplan læst en ingeniørs analyse af covid-19-epidemien, according to Silvie Ulrikke Østebø, Journalist hos TV 2 Nyhederne.

Analysen "Corona: Why you must act now", som er udgivet på blogsiden Medium, har fået så stor opmærksomhed, fordi den forsøger at give et klart svar på spørgsmålet, som myndighederne ikke har kunnet svare på:

Hvor mange er reelt er smittet med coronavirus?

Kun 2046 er lige nu testet positiv for virussen i Danmark, men fra eksperter lyder det, at der er et enormt mørketal. Det er dette tal, som Tomás Pueyo, VP Growth at Course Hero har fundet en udregningsmetode for.

I denne artikel vil logikken bag udregningerne blive forklaret.

Derudover retter to danske eksperter et kritisk blik på dem. For selvom Tomas Pueyo er ingeniør, så arbejder han til dagligt indenfor reklamebranchen og er altså ikke sundhedsfaglig ekspert...

Fordi dem, der har mistet livet, i gennemsnit har været syge i 17,3 dage forud for døden, kan man regne bagud. De 52, som i Danmark er døde frem til den 27. marts, har altså i gennemsnit haft coronavirussen i kroppen siden 10. marts.

De 52 personer udgjorde 0,87 procent af alle smittede på daværende tidpunkt. Altså antager vi i udregningen, at 99,13 procent af smittetilfældene samme dag IKKE førte til døden.

På de 17,3 dage, det har taget en gruppe at gå fra at blive syge til at miste livet, er antallet af sygdomstilfælde samtidig blevet fordoblet med en faktor 2,8. Fordi 6,2 går 2,8 gange op i 17,3.Regnestykke 03

Og så er det bare at udregne. 

Der er altså 41.626 personer, som er smittede med coronavirus i Danmark, ifølge denne udregning...

Usikker metode - men peger på det rigtige 
Men kan man overhovedet regne med de tal, som Tomas Pueyo fremstiller? Kan man regne med en ingeniør, som ikke er ekspert i coronavirus, der opsætter modeller med en lang række antagelser?

Både og, lyder det fra Lasse Engbo Christiansen, som er matematiker fra DTU og netop arbejder med computermodeller for sygdomsspredning i et samfund. Han har læst analysen i Medium, men ikke nærstuderet matematikken bag.

- Ingeniørens udgangspunkt er jo at råbe folk op ved at vise, hvor mange der er smittede. Og det gør han jo effektivt, siger han.

- Jeg må citere statistikeren George Box: All models are wrong but some are useful (alle modeller er forkerte, men nogle er brugbare, red.).
Read more... 

Source: TV 2

Thursday, March 26, 2020

Robots Are Very Good At Social Distancing | Robotics - Benzinga

Originally posted here...

Consumer concerns about autonomous robots may give way to more favorable impressions as demand for human-free delivery grows during the coronavirus outbreak by FreightWaves.

Robots Are Very Good At Social Distancing
Not so long ago, a "techlash" threatened to derail progress on autonomous transportation, and critics talked about corrective actions such as socializing autonomous delivery robots to make the technology more palatable.

Coronavirus has since shifted the conversation, away from socialization and toward social distancing. That's good news for autonomous delivery companies...

There will also be "a radical change" in the cultural attitudes of consumers in Western countries, Russi believes. Until now, a majority of people viewed automation as a ‘scary' or ‘creepy' substitute to ‘warm' human contact," he said.

"From now on, they will likely be more welcoming."

Source: Benzinga

Robots here to help | Tech - Innovators Magazine

Humankind could do with a bit of help right now and robots might just be able to provide some much needed support, observes Susan Robertson, co-founder of Innovators Magazine. 

Photo: Heriot-Watt University
Thanks to a world first pioneered at the UK’s National Robotarium at Heriot-Watt University in Edinburgh, a new multi-user conversational robot is being developed that will safely enhance elderly healthcare. Pioneered through an international collaboration of European and Asian institutions, the project, called SPRING (Socially Pertinent Robots in Gerontological Healthcare) is funded by Horizon2020, and is the first to come from the Robotarium. These Socially Assistive Robots (SARs) will be able to talk and interact with elderly citizens in healthcare facilities – with social distancing already built in.

“This type of technology is touch-free and hands-free so will be in great demand in the future as it will reduce the risk and spread of infection,” said Professor Oliver Lemon from Heriot-Watt University...

The touch-free and hands-free nature of the SPRING developed robots are hugely important factors in light of infectious diseases like COVID-19. Stopping any spread through touch is a key element of this innovation. And a group of international experts in robotics have penned an editorial this week stating that robots are already combating the COVID-19 pandemic.

“Already, we have seen robots being deployed for disinfection, delivering medications and food, measuring vital signs, and assisting border controls,” the researchers wrote in Science Robotics.

Read more... 

Source: Innovators Magazine

Google and the Oxford Internet Institute explain artificial intelligence basics with the ‘A-Z of AI’ | AI - VentureBeat

Paul Sawers, Staff Writer at VentureBeat inform, Artificial intelligence (AI) is informing just about every facet of society, from detecting fraud and surveillance to helping countries battle the current COVID-19 pandemic. 

Google and the Oxford Internet Institute launch the A to Z of AI

But AI is a thorny subject, fraught with complex terminology, contradictory information, and general confusion about what it is at its most fundamental level. This is why the Oxford Internet Institute (OII), the social and computer science department of the U.K.’s University of Oxford, has partnered with Google to launch a portal with a series of explainers outlining what AI actually is — including the fundamentals, ethics, its impact on society, and how it’s created.

At launch, the “A-Z of AI” covers 26 topics, including bias and how AI is used in climate science, ethics, machine learning, human-in-the-loop, and Generative adversarial networks (GANs)...

Google’s People and AI Research team (PAIR) worked with Gina Neff, a senior research fellow and associate professor at OII, and her team to select the subjects they felt were pivotal to understanding AI and its role today...

You can peruse the guide in its full A-Z form or filter content by one of four categories: AI fundamentals, Making AI, Society and AI, and Using AI.

Source: VentureBeat

Coronavirus lockdown: 10 free online computer science courses from Harvard, Princeton & other top universities to study | Videos - Gadgets Now

Check out these free online computer science courses, as Gadgets Now reports.

Here are 10 free online computer science courses from Harvard, Princeton & other top universities that you may want to consider to upskill yourself and make the most of the lockdown period.
(Note that only basic or introductory courses are listed and there are thousands of free online courses available which you can try.)

Source: Gadgets Now

Pioneering deep learning in the cyber security space: the new standard? | Cybersecurity - Information Age

Applying deep learning in the cyber security space has many benefits, such as the prediction of unknown threats and zero time classification, explains Nick Ismail, editor for Information Age. 

Will cyber security solutions move from machine learning to deep learning?
The use of deep learning in the cyber security space is an emerging trend. But, it has the potential to transform a security model that is currently broken, by predicting new attacks before they’ve breached an organisation’s network or device.

“Cyber security has a coronavirus situation every day,” said Jonathan Kaftzan, VP Marketing at Deep Instinct, during his presentation as part of the latest IT Press Tour.

Deep learning neural models can predict new variations of existing cyber attacks that occur daily, while the majority of current solutions in the market can only detect infected systems or anomalies, contain and remediate them — this is costly and unsustainable...

Deep learning vs machine learning
Deep learning is a sub category in a family of algorithims under machine learning, while machine learning is a broad set of algorithms under artificial intelligence.

Everyone is talking about AI, but it has been around for many years. You can define the technology as a system that mimics human intelligence by making decisions. There are many forms of human intelligence, such as if you do a. then b. will happen — many systems are already using this type of rule-based decision-making. 


Source: Information Age

Wednesday, March 25, 2020

The Beginner's Guide To Data Visualization for Mobile Games | Member Blogs - Gamasutra

The following blog post, unless otherwise noted, was written by a member of Gamasutra’s community.

Alex Moukas, Founder & CEO of Wappier ( reports, For all our strengths, humans aren’t very good at bulk data processing. 

For all our strengths, humans aren’t very good at bulk data processing.

Instead, thanks to the power of our optic nerves, we’re much better equipped for symmetry detection and spatial awareness. Data needs to be transformed into something we find visually meaningful before we can draw any actionable inferences. For mobile game developers in particular, this presents a unique challenge. 

With an addressable audience of more than 2.4 billion people, mobile games deal with unparalleled volumes of player data. Thankfully, specialized frameworks have been developed to collect and store this information, but the sheer amount of data makes it uniquely challenging to derive actionable insights. 

This is where data visualization comes in...

Visualizing Engagement
High-level averages can be represented easily enough through simple numerical displays broken down by game version or user segment. Detailed game-specific data sets however, often require more sophisticated visualizations. Anything relating to location data, such as the distribution of defenses in a build & battle mobile strategy title, are often best visualized using heat maps. These are typically two-dimensional charts with localized areas that have been color-coded along a warm-to-cool spectrum in relation to player activity. Designers can utilize heat maps to better optimize user interfaces.

Source: Gamasutra

Maplesoft launches new version of Maple mathematics software | Simulation - Automotive Testing Technology International

A new version of Maplesoft’s Maple mathematical software is now available by Rachel Evans, Deputy Editor at UKi Media & Events.

Photo: Automotive Testing Technology International
The 2020 updates are said to provide a more powerful math engine, improved tooling for interactive problem solving, and application development.

Highlights include new algorithms and solving techniques in differential equations, calculus, abstract algebra, integral transforms, graph theory, physics and other areas of math, including science and engineering.

Other new features include enhanced programming tools to help program users find and fix problems in their own code, and improved signal processing abilities for the exploration of signals of all types, which include data, image and audio processing...

Karishma Punwani, director of product management at Maplesoft, commented, “Maple is used by all sorts of different people, from students taking their first steps in algebra and calculus, to teachers delivering engaging, effective lectures, researchers developing their own algorithms or solving cutting edge problems, engineers designing new technologies, and scientists learning more about how our world works.

Source: Automotive Testing Technology International