COVID-19 contact tracing: The tricky balance between privacy and relief efforts – TechRepublic

As more governments consider the use of contact tracing apps to prevent the spread of coronavirus, researchers say privacy will have to be at the forefront of efforts in order for civilians to use it.

Image: Ministry of Health Singapore

Governments around the world have begun exploring the use of contact tracing apps as a key means for tracking and reducing the spread of coronavirus. Contact tracing is a method for warning people when they have been exposed to someone who has contracted a serious illness like COVID-19. This method has previously been used to better understand and limit the spread of HIV, meningitis, and other diseases.

It also allows for governments or health authorities to identify individuals who may have been in close contact with an infected COVID-19 confirmed case.

SEE:Coronavirus: Critical IT policies and tools every business needs(TechRepublic Premium)

Traditionally, contact tracing required a very labour intensive process, Gnana Bharathy, a systems and modelling lecturer at the University of Technology Sydney (UTS) told TechRepublic. But with technology such as smartphones, this has made contact tracing more efficient and easier to perform.

"Now, it is possible to do [contact tracing] through mobile phone data -- that is assuming people seldom part with their phone. Therefore, you could take the signals and then see which signals are coming into contact with devices owned by people who have contracted COVID-19," Bharathy explained.

"It's essentially the identification of the signals that actually come into contact with any non-risk signal. This particular view is quite helpful from a health perspective because this is one of those illnesses that can even finish asymptomatically."

SEE:Coronavirus having major effect on tech industry beyond supply chain delays (free PDF)(TechRepublic)

Rachael Falk, CEO of the Cyber Security Cooperative Research Centre (CSCRC), said with a serious public health crisis like the COVID-19 pandemic, digital contact tracing is helpful as positive cases need to be identified quickly, and particularly if the patients involved are unable to communicate with those who they come into contact with.

Singapore's TraceTogether application

Image: Ministry of Health Singapore

"Having an asset record a timestamp and a period of time is going to be better than our memory I think that's a good thing and particularly for highly infectious public health issues," Falk said.

In Singapore, the government has already released a contact tracing app, called TraceTogether, which traces the location and movements of individuals via mobile phones. Australia is currently working on a similar app that is based on the Singaporean app's source code.

Australian Prime Minister Scott Morrison said last week that using location information may be necessary to save lives and livelihoods.

"If that tool is going to help them do that, then this may be one of the sacrifices we have to make," Morrison said last week.

On the industry side, Google and Apple have also been working on contact tracing -- with their aim being to provide governments and researchers with as much information as possible to understand the spread patterns of coronavirus.

Apple and Google's iteration of contact tracing entails creating application program interfaces (APIs) that would help public health authorities design apps with contact tracing capabilities. These apps would then be available in both Apple's App Store and the Google Play store.

Belal Alsinglawi, an AI modeller for COVID-19 and data science lecturer at Western Sydney University, said Google and Apple's contact tracing efforts would save time and resources in developing applications to track the virus' spread, as well as give a bigger data picture regarding the pandemic's impact.

SEE:COVID-19: How artificial intelligence can help companies plan for the future(TechRepublic)

He explained that algorithmic forecasts of the COVID-19 pandemic -- especially AI-powered ones -- could be much more accurate, but there has been a lack of data available. Due to this, most models used by governments for tracking and forecasting have not relied on AI.

"[AI predicative methods] involve finding trends in past data, and using these insights to forecast future events and there's currently too few Australian cases to generate such a forecast for the country, with this being the same for many other countries too," Alsinglawi said.

"Once we have enough data inputs about COVID-19, it will facilitate the mission for AI researchers to develop a predictive framework for the future epidemic events, and as a result, more lives being saved."

The sensitive nature of medical information, collected from contact tracing, means that ensuring its privacy is particularly important. Due to this, plans to roll out contact tracing apps have not been without their fair share of critics, who have expressed concern that these apps do not have enough substance on the privacy and data protection fronts.Addressing these concerns, Australia's Minister for Government Services Stuart Robert said on Monday that so long as contact tracing apps do not have geolocation, it would not be known what is happening when a block of 15 minutes or more has been logged between two people.

"All we care about is who the person was next to because there's no geolocation, no one knows where the young person was or what they were doing, there's no surveillance at all. It's simply who they were near from a health point of view," Stuart said.

A day later, Australian Prime Minister Scott Morrison said Australia's upcoming contact tracing app would put data into an encrypted national store that is only accessible by the states and territories' "health detectives".

"The Commonwealth can't access the data. No government agency at the Commonwealth level, not the tax office, not government services, not Centrelink, not Home Affairs, not Department of Education, not childcare -- the Commonwealth will have no access to that data," Morrison said.

SEE:COVID-19: How cell phones are helping to track future cases(TechRepublic)

Falk, who is currently reviewing Australia's COVID-19 tracing app alongside the Digital Transformation Agency (DTA), backed the government's comments that Australia's iteration of contact tracing would be reasonably secure and private.

"The moment when you upload the app and you enter that data, that data is actually sitting in your handset, so nothing is going anywhere at that stage at all," she said.

"That data is sitting on your hands, along with the data of other people you might come into contact with for the period of time to satisfy a digital note being named in that app without a contact. But at that stage, that data is not going anywhere," she added.

When asked about the privacy concerns surrounding when data is temporarily stored inside the encrypted national store however, Falk declined to comment as testing around the app was still in progress.

Falk did acknowledge though, that any participation in using contact tracing apps should be voluntary, with Australians being allowed to take a conservative approach to protecting their online security and privacy if they wished to do so.

"From my perspective, I'll be [using TraceTogether], but it's opt-in and I recognise it is up to the individual's approach. I think it's right that Australians take a conservative approach to protecting their online security and privacy," Falk said.

The Director of the University of Western Australia Centre for Software and Security Practice, David Glance, took a different perspective, telling TechRepublic that while it was reassuring to see the CSCRC and DTA perform security tests on Australia's contact tracing app, there will always be privacy concerns due to the role health authorities have in collecting and using the information gathered.

"You've got to trust the implementation of infrastructure performed by the health authorities, which I don't. They're notoriously bad at running infrastructure, especially for something like this. And so, I think that's the fundamental problem," Glance said.

Previous data projects created by Australia's health authorities, like My Health Record, have been lambasted for having a lack of security measures.

Glance added that Singapore's version of TraceTogether, which Australia's contact tracing will be based upon, uses keys that are generated by its health authority and "potentially gives access to the data on your phones".

"They have the IDs of people who they are tracing so that's great because that enables your authorities to quickly work out who's been exposed and how to get in contact with the people who have been affected.

"But that means, essentially, you're relying on the government producing a version of the application that doesn't do other things we have legislation in Australia that allows people to do that so what's to say that the government doesn't use this app, once it's on your phone, to target you for keyboard login or to infiltrate your messaging or anything else?"

With governments, such as Australia, already set on implementing contact tracing, Dr Mahmoud Elkhodr at Central Queensland University noted that while there will never be a "perfect solution" for privacy, there are various mechanisms that could be applied to improve the balance between privacy concerns and the public benefit.

"The right to be forgotten also known as the 'right to erasure' is an EU rule which gives EU citizens the right to request deletion of their personal data from Internet companies such as Google. In Australia, this law is non-existent. So perhaps the first measure the government should take to preserve the privacy of Australians when using the TraceTogether app is to draft legislations and implement features that allow them to simply delete their location information from the app," Elkhodr said.

Elkhodr also proposed that governments should make their contact tracing applications open source if they are serious about addressing the privacy concerns.

"This enables transparency and provides the public with much needed assurances. The government should also ensure that the application will not be used outside its intended scope such as penalising non-essential travel," he said.

SEE:COVID-19 demonstrates the need for disaster recovery and business continuity plans(TechRepublic Premium)

Currently, Singapore's TraceTogether app is not open source software and is not subject to audit or oversight, however, the island nation committed to doing so last month.

Regardless of what security measures are put in place however, Elkhodr said the effectiveness of contact tracing apps would simply come down to whether people trust putting their data in the hands of government.

Glance, meanwhile, said that contact tracing is not a "silver bullet" even if it is successful.

"Testing is obviously the key to controlling disease and it has to be widespread testing.

"The fundamental issue is really, again, going back to what do you do next? Apps are not going to help us with that -- they're not going to help us if we decide to open the border. There is going to be a certain amount of infection. The key to that is testing," he said.

At the time of writing, the World Health Organization reported that there have been over 2.4 million confirmed cases, with over 163,000 fatalities as a result of the virus.

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COVID-19 contact tracing: The tricky balance between privacy and relief efforts - TechRepublic

Typosquatting RubyGems laced with Bitcoin-nabbing malware have been downloaded thousands of times – The Register

Malware in software packages means even trusted repositories are not always safe

A researcher has uncovered malicious packages in the RubyGems repository, one of which was downloaded more than 2,000 times.

RubyGems, the standard package manager for Ruby, was studied by threat analyst Tomislav Maljic at ReversingLabs, who highlighted research based on analysing packages submitted to the repository that have similar names to existing popular gems possible cases of "typosquatting," where perpetrators name a package using a common misspelling or substitute a character to mislead developers into installing it by mistake.

The research found over 400 suspect gems including "atlas-client", which was downloaded 2,100 times by developers likely looking for the legitimate gem named atlas_client. The rogue gems contained Windows executables renamed with a .png extension, along with a Ruby script that renamed and ran the file. The malware then created a new VBScript file along with an autorun registry key to run it on startup old-school malware and nothing too technical.

"It starts an infinite loop where it captures the user's clipboard data... the script then checks if the clipboard data matches the format of a cryptocurrency wallet address," Maljic reported. "If it does, it replaces the address with an attacker-controlled one."

In truth, the malware is not very advanced. It is looking for a Ruby developer on Windows whose system is also used for Bitcoin transactions. "A rare breed indeed," remarked Maljic. "At the time of writing this blog, seemingly no transactions were made for this wallet."

He added that "the RubyGems security team has been contacted, and all packages from reported users have been removed from the repository".

The bigger concern is how easy it is to get malware into one of the most widely used package managers. Modern software development is reliant on packages downloaded from repositories, not only RubyGems but also via NPM (JavaScript libraries), NuGet (.NET packages), Maven (Java), Cargo (Rust), PEAR for PHP, PyPI (Python) and many others. Last year the same researcher reported on an NPM package that steals passwords. In 2018, malicious code was found in the NPM package event-stream and was downloaded nearly 8 million times, according to open-source security specialist Snyk.

In February, the Linux Foundation published a white paper [PDF] on the security of the open-source software supply chain, concluding: "Software repositories, package managers, and vulnerability databases are all necessary components of the software supply chain, as are the developers and end users who leverage them. Unless and until the weaknesses inherent within their current designs and procedures are addressed, however, they will continue to expose the companies and developers who rely upon them to significant risk."

This includes not only malware, but also programming errors that introduce vulnerabilities.

The foundation undertook to convene "a meeting of global technology leaders in working across application and product security groups in order to design collective solutions to address these problems."

Tools exist to counter threats, including commercial software projects like OWASP Dependency Track, and the efforts of repositories to improve security. "We'll integrate GitHub and npm to improve the security of the open source software supply chain," GitHub CEO Nat Friedman said last week about the acquisition of NPM.

It is a tricky problem, and it is not only when writing code that developers should be careful what they type.

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Typosquatting RubyGems laced with Bitcoin-nabbing malware have been downloaded thousands of times - The Register

How DBS is reaping the dividends of digital transformation – ComputerWeekly.com

When some DBS Bank employees tested positive for Covid-19 early this year, the bank was able to use data from office access cards and Microsoft Office 365 calendars to conduct contact tracing within days. And within weeks, it rolled out an application that enables business customers to submit forms without visiting a branch.

The speed and agility at which DBS, Southeast Asias biggest lender, would not have been possible without the investments it made a decade ago to modernise its IT infrastructure, applications and business processes to spearhead digital transformation.

In an interview with Computer Weekly, DBSs group CIO Jimmy Ng talks up the banks technology initiatives amid the coronavirus outbreak and the next steps in its digital transformation journey, while VMwares vice-president and managing director for Southeast Asia and Korea, Sanjay Deshmukh, explains how the software company is supporting DBS in that journey.

Can you give us sense of how DBS is approaching technology to sharpen its competitive edge, especially with the entry of new digital banking players in markets across the region?

Jimmy Ng: I think we need to take a step back during times of crisis like the current coronavirus outbreak, because that will have great bearing on whats going to happen after we emerge from the crisis. I sense that over the next two years, digital banking is going to be the main channel through which people are going to transact. Covid-19 has been the main catalyst for people to adopt digital banking and thats going to accelerate digital adoption.

Right now, the crisis may seem like the worst of times because IT folks are working hard to keep the lights on, but its also the best of times because it has brought forth the value of technology and the investments weve made over the past decade to modernise our technology stack. But the transformation weve undertaken is not just in the way weve architected our infrastructure.

One of the biggest things we realised was the change in the mindset of our people. In the past five years, weve adopted agile and continuous integration and continuous delivery (CI/CD), enabling us to roll out releases more than 10 times faster than before and it played out nicely during this crisis.

For example, when you have a crisis, customers do not want to come to the office to hand you trade documents because of social distancing rules. So, within a couple of weeks, weve implemented an application to enable customers to submit their documents digitally. Weve been able to move very quickly and nimbly because of our processes and the infrastructure weve put in place.

Another area that weve put in a lot of effort is the use of data to make decisions. During the outbreak, when some of our staff were infected, we were able to use data from office access cards and Office 365 calendars to do contact tracing within days.

We also used video analytics and internet of things (IoT) to understand how we can space out our people so they can maintain a social distance. Our agility and modern infrastructure enabled us to ingest the data very quickly and has paid off in a rapidly changing environment. Amid all of that, we were still able to deliver on existing initiatives.

As for the new digital banking players, they will be formidable competitors, but we think we are in a very good position. In fact, were a digital bank already. Were going to double up on our efforts and continue to provide digital offerings. I believe that this is going to be the battlefield, especially after Covid-19.

As we all know, digital transformation is an ongoing effort. Whats at the top of your mind at this point in time? How are you thinking two or three steps forward from a CIOs perspective?

Ng: As we are battling Covid-19, weve been looking into technologies that we should focus on moving forward. For me, 5G is going to be a main infrastructure that will make it easier for us to work from home and extend our services for example, mobile ATMs in more locations amid a pandemic or emergency.

Theres no such thing as winners or losers because at some point a particular technology will become dominant, and the rest will catch up eventually Jimmy Ng, DBS

Another area is IoT and video analytics which will allow us to monitor crowds at ATMs and branches. And there will be more use cases that combine 5G, IoT and blockchain to enable our customers to manage their business.

Finally, lets not forget artificial intelligence (AI) and machine intelligence (ML), because if we have 5G and IoT coupled with AI, ML and data, well get a formidable suite of tools to enable our customer businesses and support our internal operations.

At the heart of the initiatives you talked about is the application and infrastructure stack. What changes or tweaks do you need to make in your technology stack to support those initiatives?

Ng: Our modern applications and stack form the basis of our technology foundation. Over the past five years, we have moved very aggressively into a virtual private cloud (VPC) environment. Very few banks have gone down that route, which has brought us a lot of benefits and enabled our staff to very conversant in the technology.

The next step for us is containerisation and moving into a hybrid cloud environment to achieve productivity gains and scale. That includes the greater use of public cloud services. There will be cases where public cloud providers have better capabilities and scale from an infrastructure perspective, so the ability for us to adopt those capabilities, including native cloud services, will be key.

I understand that DBS is still running some legacy applications. How are you managing their transition to modern apps?

Ng: We have a dual-prong strategy to tackle that. First, we are containerising legacy applications that will give us the ability to adopt public cloud at scale. Second, we are chipping away our core banking system, so that it becomes a very small part of the entire infrastructure.

And this includes your mainframe applications? Are they going to be eliminated at some point?

Ng: I think mainframe technology has changed a lot and its getting modernised. Our strategy is still to chip it away, with only a small part of it remaining through containerisation. That said, I dont think mainframe technology is going to come to a standstill.

The fact that IBM has bought Red Hat shows that theres going to be some progress in how theyre going to provide a migration path or enabling the use of mainframe hardware in more productive ways. So, it remains to be seen and were keeping our options open depending on how things pan out.

You rightly mentioned that this space is still evolving. How do you then hedge against the risks that you might be taking on with the use of multiple technologies and platforms, such as VMware and Red Hat OpenShift in the Kubernetes space?

Ng: We have adopted a multi-pronged approach even as we use both Cloud Foundry and OpenShift as our application platforms. We think the universe is big enough for a couple of players to co-exist. A multi-supplier strategy has always been part of our approach because technology moves so fast.

Theres no such thing as winners or losers because at some point a particular technology will become dominant, and the rest will catch up eventually. So, using a diverse set of technologies will give us the best innovation from leading suppliers, and as others improve, we can still reap the benefits of their improvements. Even for cloud, were not going to go with just one cloud provider.

How are you dealing with the potential complexities that could arise?

Ng: Itll be a more complex environment and probably not as efficient because we have to maintain two or more technologies. However, the strive for efficiency needs to be balanced with technology obsolescence. Its not an efficiency play; rather its a resilience play so that we can move forward as technology evolves.

We are constantly looking at new technologies and players we can place bets on. For example, we adopted MariaDB in the initial days and have scaled up its use, but we are also looking at new databases that are coming to market. As we can scan the horizon, we will make some good choices and some bad choices, but hopefully more good ones than bad.

Sanjay Deshmukh: As customers like DBS go multi-cloud, they can choose AWS, Azure or Google. To solve the complexity of investing in multiple platforms, were giving them a common infrastructure fabric across multiple clouds, alleviating the need to train their employees on multiple technologies.

On the management side, Jimmy talked about chipping away old applications and putting them into containers. Lets say for discussion sake, they run some of these applications in different cloud environments and infrastructure. Our management capability offers a consistent operations framework, which means if I'm an administrator, I will have one screen that gives me the ability to manage applications that are running in my datacentre on VMware infrastructure or a public cloud. This will help to shield organisations from the complexity of taking a multi-cloud approach.

We have been in this journey for the past 10 years and we are getting very comfortable with how we work, whether it is operating in squads or pulling together people from different departments to work in small teams and respond quickly to changing environments Jimmy Ng, DBS

Id also share a couple of things in terms of our relationship with DBS. Jimmy talked about their initiative that enables their customers to submit trade forms without visiting the branch if you break that down at the technology level, there are two things that are needed to respond to that situation.

First is the agility in building the application to respond to the business need. Thats one area where weve been partnering with DBS very closely with our Pivotal technology that provides the agility to build software in days, not months.

The second aspect is when developers are trying to respond to these market needs, they need infrastructure. In a traditional bank, it takes months or more to make the infrastructure available. With our partnership with DBS, their developers are able to self-provision the infrastructure that they need within the same day and serve their customers quickly.

Can you elaborate on any cultural challenges that you are grappling with when it comes to getting everyone up to speed on what the bank needs to do to take things forward from a technology perspective?

Ng: We have been in this journey for the past 10 years and we are getting very comfortable with how we work, whether it is operating in squads or pulling together people from different departments to work in small teams and respond quickly to changing environments.

Second, our culture of using data to drive insights has been fully entrenched. I think what we need to do more is to get people to understand the application of AI and the use of data to help the business in even more productive ways.

The third area that weve been looking at over the past two years is what we call a platform construct that brings business and technology teams together as co-owners of a particular platform. They own the budget and make decisions on what they want to build or operate. Everyone has the same set of key performance indicators (KPIs), and the biggest win is the true alignment of business and technology.

How does the open source culture play a part in the culture youve just described?

Ng: We are looking at becoming an engineering company and we run very much like a technology company. If you look at the characteristics the big technology giants, embracing open source is always one of them. We have built a library of digital assets internally, and weve been debating whether some of those assets should be made open source because its part and parcel of being an engineering company.

So, dont be surprised if one day, some of the toolkits that we have built are put out as open source software. Weve benefited a lot from open source, so its also our responsibility to contribute to the open source community.

See the rest here:
How DBS is reaping the dividends of digital transformation - ComputerWeekly.com

Looking At The Numbers in COVID-19 – Machine Learning Times – machine learning & data science news – The Predictive Analytics Times

Like many of you, my focus during this crisis has been less on analytics and more about family, friends, etc. which on a more positive note seems to gain greater emphasis as we reassess our priorities. But the bombardment of news regarding this crisis certainly focuses on numbers in terms of providing a perspective of when this crisis might end. The discussion revolves around the so-called notion of flattening the curve and essentially looks at two key metrics: Number of positive COVID-19 cases Number of Deaths Given my other priorities, I have not really paid attention to these numbers being

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Looking At The Numbers in COVID-19 - Machine Learning Times - machine learning & data science news - The Predictive Analytics Times

Global Machine Learning as a Service Market Developments, Key Players, Trending Technologies and Forecast to 2026 Cole Reports – Cole of Duty

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Global Machine Learning as a Service Market Developments, Key Players, Trending Technologies and Forecast to 2026 Cole Reports - Cole of Duty

Open Resources to Become Knowledgeable in the Field of AI – ArchDaily

Open Resources to Become Knowledgeable in the Field of AI

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As Artificial Intelligence has become one of the most significant forces driving innovation and economic development, this societal transformation requires new knowledge and an additional set of skills. Just as knowing a BIM software has become a prerequisite for most architecture jobs, understanding or even knowing how to use AI-related tools would become a desirable asset, if not a requirement in the future. However, with a vast array of information available, how does one begin to venture into this topic? The following is a compilation of online resources, lectures, and courses, that could provide a better understanding of the field and how to incorporate it into the practice of architecture.

What does Artificial Intelligence represent, what is the difference between machine learning and deep learning? These notions might seem interchangeable and so navigating the topic could become confusing. Before diving into the actual list of resources, it is essential to have the proper use of the most common terms.

Artificial intelligence (AI) is a wide-ranging branch of computer science concerned with the development of systems able to perform tasks typically requiring human intelligence. The AI encountered in different applications today is Artificial Narrow Intelligence (ANI), or "weak AI", used on performing a specific task, within a limited context, following pre-programmed rules. Google search, personal assistants, image recognition software, all fall into this category. Artificial General Intelligence (AGI) or Strong AI is still the realm of science fiction, as it would entail the general intelligence of a human being, able to solve any problem.

Put simply, Machine Learning is a subfield of AI, which consists of feeding data to a computer and using statistics and trial and error to help the network learn how to get better at a task, without having been programmed explicitly for that task, thus eliminating the need for writing overwhelmingly extensive code. Machine learning allows computers to make connections, discover patterns and make predictions based on what they learned in the past. A great way of understanding how this works in practice is the visual introduction in machine learning, created by R2D3, which uses a hypothetical example to explain the machine learning process.

Deep learning is a type of machine learning that feeds the data through a neural network architecture inspired by the human way of processing information, known as Artificial Neural Networks (ANNs). An example of usage for machine learning and deep learning is Google Image search.

Generative Design is a buzzword that has penetrated the architecture field a while now (see Archdaily's coverage of the topic here), but can it be framed as Artificial Intelligence or is it just a problem solver engaging multiple variables? Generative design is an iterative and exploratory process, where the input consists of parameters such as spatial requirements, performance, material constraints, as well as design goals. The software explores all possible solutions. Whether it falls in the realm of AI or not depends on whether the software is capable of testing and learning from each iteration, thus "learning" to give optimized answers.

With the ambitious goal to educate 1 % of European citizens in the fundamentals of AI by 2021, Elements of AI, a series of online courses created by Reaktor and the University of Helsinki sets the foundation for understanding the field, explaining what AI is, what it can and can't do, and how to start employing AI methods. The course is free and available in multiple languages, the aim being to teach people from a variety of backgrounds on the basic concepts of artificial intelligence technology. With almost 400.000 students so far from over 170 countries, the course is indeed proving an accessible and engaging resource.

Another beginner course, Coursera's Introduction to Artificial Intelligence, is also a great place to start building up the foundation concepts of the field, and it also contains some hands-on exercises.

For a non-aficionado, navigating literature on the subject of AI can be daunting. Therefore this Machine Learning Glossary provided by Google is a fast and reliable way of checking the meaning of terms when facing specialized jargon. The concepts are explained in a clear, straightforward fashion, and the glossary is an information resource in itself.

Learning is always more successful with a hands-on approach, and you can get acquainted with AI tools without having to learn to code. Project Runway ML is a public beta software and a platform dedicated to creators of all kinds that allow them to use AI tools without necessitating coding experience. From object detection to generating images from sketches, or creating text descriptions for images, the platform is a fun way to explore some design applications of AI.

This discussion at Columbia GSAPP explores artificial intelligence in architecture through the lens of several research projects.

Harvard GSD's lecture presents how AI-based tools and computer simulations could support landscape architecture.

In this lecture at the Strelka Institute, sociologist and professor Benjamin Bratton talks about AI and shares the results of the research projects undertaken in collaboration with Google Research. Read more about Bratton's ideas concerning in this Archdaily interview.

In addition, you can now take a virtual tour of the AI & Architecture exhibition, which was scheduled to take place at the Pavillon de l'Arsenal in Paris, France, but closed down due to the COVID-19 crisis. The curators decided to offer to the public an immersive experience, by recreating the exhibit as a virtual tour. Featuring the opening conference, a timeline of AI development, examples of its application to architecture, the exhibition is very rich in information and indeed an immersive experience.

Going further would require maths, as well as computer science prior training. Still, there are plenty of online resources addressing a more knowledgeable audience.

Google's Machine Learning Crash Course does not require any prior knowledge in machine learning, but students should have some experience programming in Python. However, all the different topics have an Introduction page that can at least provide an idea about how the process works.

Another Machine Learning course, this time offered by Stanford University, focuses on gaining the practical know-how on the subject.

For those already skilled in computer science, there is also the Artificial Intelligence course available on MIT's Youtube channel.

For a more comprehensive picture of AI in architecture, see Archdaily's coverage of the topic here.

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Open Resources to Become Knowledgeable in the Field of AI - ArchDaily

Artificial Intelligence and Machine Learning in Big Data and IoT Market to Exhibit Impressive Growth by2020-2026 | Augury Systems, Baidu, C-B4, Comfy,…

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Artificial Intelligence and Machine Learning in Big Data and IoT Market to Exhibit Impressive Growth by2020-2026 | Augury Systems, Baidu, C-B4, Comfy,...

Tesla releases impressive videos of cars avoiding running over pedestrians – Electrek

Tesla has released a few impressive videos of its Autopilot-powered emergency braking feature helping to avoid running over inattentive pedestrians.

What might be even more impressive is that the automaker says that it sees those events happen every day.

Theres a lot of talk about Tesla Autopilot, but one of the least reported aspects of Teslas semi-autonomous driver-assist system is that it powers a series of safety features that Tesla includes for free in all cars.

One of those features is Emergency Automatic Braking.

We saw the Autopilot-powered safety feature stop for pedestrians in impressive tests by Euro NCAP last year, but now we see it perform in real-world scenarios and avoiding potentially really dangerous situations.

Tesla has now released some examples of its system braking just in time to save pedestrians.

The new videos were released by Andrej Karpathy, Teslas head of AI and computer vision, in a new presentation at the Scaled Machine Learning Conference.

It was held at the end of February, but a video of the presentation was just released (starting when he shows the videos):

In the three video examples, you can see pedestrians emerging from the sides, out of the field of view, and Teslas vehicles braking just in time.

Tesla is able to capture and save those videos, thanks to its integrated TeslaCam dashcam feature.

Karpathy says:

This car might not even have been on the Autopilot, but we continuously monitor the environment around us. We saw that there was a person in front and we slammed on the brake.

The engineer added that Tesla is seeing a lot of those events being prevented by its system:

We see a lot of these tens to hundreds of these per day where we are actually avoiding a collision and not all of them are true positive, but a good fraction of them are.

In the rest of the presentation, Karpathy explains how Tesla is applying machine learning to its system in order to improve it enough to lead to a fully self-driving system.

I think its important to bring attention to these examples considering if an accident happens on Autopilot, it gathers so much attention from the media.

Lets see how many of them run with this story.

But I get it. People love crashes a lot more than a near-miss.

On another note, I really like how Karpathy communicates Teslas self-driving effort. His presentations are always super clear and informative, even for people who are not super experienced in machine learning.

In order for TeslaCam and Sentry Mode to work on a Tesla, you need a few accessories. We recommendJedas Model 3 USB hub(now also available for Model Y) to be able to still use the other plugs and hide your Sentry Mode drive. For the drive, Im now usinga Samsung portable SSD, which you need to format, but it gives you a ton of capacity, and it can be easily hidden in the Jeda hub.

What do you think? Let us know in the comment section below.

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Tesla releases impressive videos of cars avoiding running over pedestrians - Electrek

Coronavirus Pandemic Exacerbating Global Threats to Press Freedom: Watchdog Group – Common Dreams

The coronavirus pandemic is worsening global threats to press freedom, watchdog group Reporters Without Borders said Tuesday as it released its latest annual Press Freedom Index.

"The public health crisis provides authoritarian governments with an opportunity to implement the notorious 'shock doctrine'to take advantage of the fact that politics are on hold, the public is stunned and protests are out of the question, in order to impose measures that would be impossible in normal times," Reporters Without Borders secretary-general Christophe Deloire said in a statement.

The 2020 global analysis from the group, known by its French acronym, RSF, put Norway at the top of the indexthe fourth year in a row it's had the honor of being named the most free country in the world for the press.

The United States ranked 45, an improvement from the 48th spot the country had on the 2019 index. But the U.S. still came in for criticism by RSF, with the group saying that in the Americas, the U.S. and Brazil "are becoming models of hostility towards the media."

"Press freedom in the United States continued to suffer during President Donald Trump's third year in office," said RSF, citing ongoing "[a]rrests, physical assaults, public denigration, and the harassment of journalists."

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Thanks to the Trump team, the "United States is no longer a champion of press freedom at home or abroad," RSF added. The index cites as examples the White House's curtailing of journalists' ability to question the administration, including by denying press access to specific journalists or outlets and the Justice Department's indictment of Wikileaks founder Julian Assange with 17 counts under the Espionage Act. If Assange is convicted, RSF said, it risks setting "a dangerous precedent for journalists who publish classified U.S. government information of public interest moving forward."

RSF pointed to five crisesgeopolitical, technological, democratic, trust, and economicthat stand to affect how press freedom fares in the next decade.

"The coronavirus pandemic illustrates the negative factors threatening the right to reliable information, and is itself an exacerbating factor," Deloire added in his statement.

"What will freedom of information, pluralism and reliability look like in 2030?" he said. "The answer to that question is being determined today.

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Coronavirus Pandemic Exacerbating Global Threats to Press Freedom: Watchdog Group - Common Dreams

Ethereum, Fabric, Corda, And Multichain. Only One Is Government Ready – New Report – Forbes

The Institute of Electrical and Electronics Engineers (IEEE) has co-published an assessment of how four blockchain platforms measure up against the rigorous security requirements of the U.S. Federal Government and according to the report, only one of the platforms has passed the test.

The Federal Government Has Stringent Rules Around Adoption Of New Technology

While the IEEE isnt a decision maker for what the federal government adopts, it can have a view on what it is likely to do by assessing blockchain providers against the governments own vetting rules that are used to guide federal adoption of technology.

The Federal Information Security Management Act of 2002 (FISMA) requires that all new federal IT programs and modernization efforts using blockchain meet National Institute of Standards and Technology (NIST) cryptographic standards. If the technology doesn't meet them, then the federal government cannot use the technology.

UNITED STATES - FEBRUARY 08: From left, Sens. Ben Cardin, D-Md., Barbara Mikulski, D-Md., and ... [+] Commerce Secretary Penny Pritzker attend a ribbon-cutting event for the newly expanded National Cybersecurity Center of Excellence (NCCoE) at the National Institutes of Standards and Technology (NIST) in Rockville, Md., February 08, 2016. (Photo By Tom Williams/CQ Roll Call)

However, the ramifications to blockchain adoption are far broader than just being confined to the government, as businesses tend to follow the governments adoption of certain technologies.

The reason why is because of the outsized role that the government plays in technology procurement. NIST is responsible for providing the Federal Information Processing Standards (FIPS) which are a series of documents which provide technology standards in the government. Because the government is such a large buyer of technology, these standards have become the general de-facto standard for computing more generally.

So if the government doesnt allow it, companies in other industries are also probably following the same rules and may also decide not to adopt the technology.

The study, co-published by the IEEE Computer And Reliability Societies, and authored by James P. Howard II from Johns Hopkins Applied Physics Laboratory and Maria E. Vachino from Easy Dynamics Corp. scanned the market for blockchain solutions then whittled them down to four platforms based on three criteria; (i) the device is supported by a single, business or consortium responsible for developing standards and guiding future work (ii) the system allows independent, private chains without limiting the application to a single global network (iii) the technique is well supported by developer libraries that allow software developers easy access to data and protocols of the blockchain system.

According to the report, the four platforms which fit the bill were Ethereum (implemented in a private configuration), Hyperledger Fabric, Corda, And Multichain. These were then evaluated against the NIST framework.

Of the four platforms, only R3 Corda was identified as meeting NIST standards and therefore being able to be implemented in federal government projects.

Corda passed as it uses SHA-256 for transaction sealing and SHA-256 is an acceptable hash algorithm according to NIST. Java has many implementations of SHA-256, and there are NIST approved libraries. Corda supports numerous digital signatures. RSA is supported with SHA-256 as the hashing algorithm. For ECC, P-256 is also supported with SHA-256 as the hashing algorithm. All of these have been validated by NIST.

Hyperledger Fabric, Ethereum and Multichain didn't fit the bill for a variety of reasons, either because the encryption standards used were not approved by NIST, or where they were, they were written in programing languages and libraries that NIST has not approved.

Hyperledger Fabric had NIST approved transaction sealing and digital signature cryptography but as it was implemented in go-lang which is a language implementation not approved by NIST it didnt pass.

Ethereum had more issues. Ethash, which is used for Proof of Work doesnt meet NIST requirements and the report saw that the move to Proof of Stake as being a moving target which was hard to evaluate. For digital signatures Ethereum uses the secp256k1 curve which has not been validated by NIST

Multichain came close. With a NIST approved cryptography for transaction sealing but support only for secp256k1.19 for digital signatures which has not been validated by NIST.

Comparison of four protocols

Cordas upper hand in government compliance is through a combination of using encryption protocols that are validated by NIST as well as through implementing them in a an established 25 year old language that NIST is familiar with - namely Java.

From Hyperledger Fabrics perspective, theres a good argument to be made that go-lang is a new, modern language that has been around for twelve fewer years than Java and Javas use is therefore more established so its only natural that NIST, representing the conservative nature of government (much of which still runs on tried-and-tested COBOL code from the 1970s) would focus on an established language.

Corda Holds The Lead, For Now At Least

All is not lost for Hyperledger Fabric as its entirely possible that we may see NIST spending the time in the future to validate encryption algorithms written in go-lang which may open up Hyperledger Fabric for use in the federal government. However, that is not something to take lightly as NIST has an extensive catalog of vulnerabilities associated with various languages and frameworks, with this level of attention to detail, approval is likely to be a rigorous and long endeavor.

Corda may be the winner but there is an important caveat - Corda meets NIST standards only if traditional java libraries are used. To understand this important nuance requires an appreciation of the fact that Corda is actually built using Kotlin, a relative to the Java language which is interoperable with Java.

So why was NIST not able to approve encryption code written a new language such as go-lang, yet a newer language like Kotlin was found to be acceptable?

The answer is NIST approval is only for encryption libraries written in Java which Kotlin, by being a close relative to Java is able to use. If users use Kotlin libraries for encryption, Corda may not pass the NIST test.

Luckily, unlike Hyperledger Fabric, Corda can have it both ways - the advantages of a powerful new language as well as the safety of an established one.

New Technology Frontiers

The IEEE report focuses on cryptography, yet thats not the full picture when it comes to security.

Two other security aspects of blockchains that have received increasingly more are formally verified smart contracts and Trusted Execution Environments (TEEs).

Smart contracts written in formally verified languages have the benefit that it is possible to calculate mathematically with 100% certainty what the result of a smart contract will provide for a given input.

This makes them more safe to use then their non-deterministic counterparts because there can be certainty around what they will do. Outside of blockchain, formally verified languages are commonly used for critical systems such as nuclear power plants. However, at the same time this style of programming language can impose restrictions on what blockchain can do that can make them unsuitable for certain types of work.

It will be interesting to see if NIST forms a view on formally verified languages in the next few years.

A Trusted Execution Environment, on the other hand, is a rapidly maturing security technology which provides a way for code to be run in a secure and confidential manner even if the computer that it is running on is not secure. It also provides a safe place for storing encryption keys and other sensitive data.

Its an area of the market which has seen big investments by chip manufacturers, cloud providers and blockchain application providers alike in the last few years. Intel INTC and AMD have created CPUs that support this type of computing, which is then offered through cloud vendors such as Microsoft MSFT Azure and IBM IBM s Data Cloud. Microsoft recently announced their Confidential Computing Framework that provides the building blocks for integrating blockchains that use confidential computing. R3 has also recently announced a beta program for its confidential computing initiative named conclave.

There still remains some controversy as to how secure these environments are as the CPU chip manufacturers hold part of the security puzzle and therefore require trust in the chipmaker.

Blockchain In The Federal Government Already

While the assessment from the IEEE may sound like a bit of a theoretical exercise, it is worth remembering that the U.S. federal government has already implemented blockchain and as such is a world leader in the space; the department of Health And Human services, a branch of the federal government, has received Authorization To Proceed with the use of a new procurement focused blockchain (HHS Accelerate) that aims to save the government over $30m in procurement costs over the next five years.

The federal government, it seems, is serious about blockchain.

Originally posted here:
Ethereum, Fabric, Corda, And Multichain. Only One Is Government Ready - New Report - Forbes