Daily Tech Digest - March 31, 2020

Nasscom seeks relief for technology startups for business continuity
Some of the important measures demanded from the government to help the startups include a rental subsidy for workspaces used by startups which are regulated/owned/managed by government agencies; blanket suspension of all deadlines including tax payment deadlines and filing deadlines until at least four weeks post lifting of all city lockdown. The industry body said that the pandemic has created a significant liquidity crunch for the sector and to ensure timely payment of salaries to employees, the banks may voluntarily provide for an overdraft facility or interest-free and equity convertible funding to startups. Nasscom has demanded a one-time provident fund opt-out option for employees. "The Government can consider providing an option to the employees for a onetime PF opt-out option for the next financial year 2020-21. In such a case, both the employee and employer's contributions towards the PF may be transferred directly to the employee. This will result in an increase in the take-home pay of the employees," said Nasscom in the representation made to the government.

Reference Architecture for Healthcare – Introduction and Principles

The good news is that information technology can solve problems of fragmentation, through smart process management, and the exchange of standardized information, to name a few. A Blueprint for the Healthcare Industry: The aim must be to help organizations provide health services with better outcomes, at lower cost, and improved patient and staff experience. We need a toolbox that is flexible, adaptable to individual needs, and that can serve a network of partners that team up to deliver care. The Patient Perspective: As a patient with a chronic disease, I monitor my health condition daily. I manage my medication with the help of my devices and adjust my lifestyle accordingly. My care providers should work with me to manage my disease. The Health Professional Perspective: As a Healthcare professional, I need to team up to coordinate delivery of care. I create, use, and share information with other care providers within a given episode of care, and across different treatment periods. The Architect and Planner Perspective: As a user of the reference architecture, I need an easy-to-use toolbox that is readily available and helps me in my daily work. It needs to align with the regulations of our industry.

Maybe the biggest challenge we face as a society is our ability to unlearn – to let go of – outdated concepts and beliefs in order to adopt new approaches. Our everyday lives are dominated by outdated concepts: change the oil every 3,000 miles, don’t wear white before Memorial Day, only senior management has the best ideas, don’t eat dessert until you’ve cleaned your plate, trade wars are easy to win, leeches work wonders on headaches, etc. Well, I’m going to throw down the gauntlet and challenge everyone to open their minds to the possibility of new ideas and new learning. That does not mean you should blindly believe, but instead, should invest the time to study, unlearn and learn new approaches and concepts. “You can’t climb a ladder if you’re not willing to let go of the rung below you.” As the new Chief Innovation Officer at Hitachi Vantara, leveraging ideation and innovation to derive and drive new sources of customer, product and operational value is more important than ever. So, Hitachi Vantara employees and customers, be prepared to change your frames; to challenge conventional thinking with respect to how we blend new concepts – AI / ML, Big Data, IOT – with tried and true ideas – Economics, Design Thinking – to create new sources of value.

How data governance and data management work together

Members of a data governance team
Although data governance provides a framework of controls for effective data management, it is just one component of the overall practice. Dan Everett, VP of product and solution marketing at Informatica, accurately described the relationship between data management and governance in a blog post. He said data governance must be implemented to be effective, while data management facilitates policy enforcement. Business size often determines how the data governance and data management responsibilities are organized and assigned. But size shouldn't be a determining factor for treating data as an enterprise asset, establishing effective data governance policies and performing high-quality data management. ... The initial data governance policies and data management procedures will most likely have gaps that lead to data quality issues. In addition, ensuring enterprise data is correct and used properly throughout the organization is fluid by nature. In other words, "things change." Data usage is highly dynamic and data governance controls and data management procedures may not always provide the guidance and best practices needed to guarantee data quality across all data stores. 

“Growing awareness around data privacy issues has compelled consumers to seek more control over their data and take some action to protect their privacy online. However, with over half of Brits saying they don’t know how to safeguard their online privacy, there is still a clear need for education on how people can keep themselves, and their data, safe online.” The extensive study found that 86% claimed to have taken at least one step to protect themselves online, such as clearing or disabling cookies, limiting what they share on social media platforms, and not using public Wi-Fi. Almost exactly the same proportion said they could still do more to protect themselves. In terms of what keeps consumers awake at night, NortonLifeLock found that 65% of Brits believe facial recognition technology will be misused and abused, and 42% believe it will do more harm than good – even though the majority also seem to support its use, with over 70% supporting its use by law enforcement.

What are deepfakes – and how can you spot them?

A comparison of an original and deepfake video of Facebook chief executive Mark Zuckerberg.
Deepfake technology can create convincing but entirely fictional photos from scratch. A non-existent Bloomberg journalist, “Maisy Kinsley”, who had a profile on LinkedIn and Twitter, was probably a deepfake. Another LinkedIn fake, “Katie Jones”, claimed to work at the Center for Strategic and International Studies, but is thought to be a deepfake created for a foreign spying operation. Audio can be deepfaked too, to create “voice skins” or ”voice clones” of public figures. Last March, the chief of a UK subsidiary of a German energy firm paid nearly £200,000 into a Hungarian bank account after being phoned by a fraudster who mimicked the German CEO’s voice. The company’s insurers believe the voice was a deepfake, but the evidence is unclear. Similar scams have reportedly used recorded WhatsApp voice messages. ... Poor-quality deepfakes are easier to spot. The lip synching might be bad, or the skin tone patchy. There can be flickering around the edges of transposed faces. And fine details, such as hair, are particularly hard for deepfakes to render well, especially where strands are visible on the fringe.

Spike in Remote Work Leads to 40% Increase in RDP Exposure to Hackers

As Covid-19 continues to wreak havoc globally, companies are keeping their employees at home. To ensure compliance and stay atop security standards, teleworkers have to patch into their company’s infrastructure using remote desktop protocol (RDP) and virtual private networks (VPN). But not everyone uses these solutions securely. Research by the folks behind Shodan, the search engine for Internet-connected devices, reveals that IT departments globally are exposing their organizations to risk as more companies go remote due to COVID-19. “The Remote Desktop Protocol (RDP) is a common way for Windows users to remotely manage their workstation or server. However, it has a history of security issues and generally shouldn’t be publicly accessible without any other protections (ex. firewall whitelist, 2FA),” writes Shodan creator John Matherly. After pulling new data regarding devices exposed via RDP and VPN, Matherly found that the number of devices exposing RDP to the Internet on standard ports jumped more than 40 percent over the past month to 3,389. In an attempt to foil hackers, IT administrators sometimes put an insecure service on a non-standard port (aka security by obscurity), Matherly notes.

Google’s CameraX Android API will let third-party apps use the best features of the stock camera

The benefit of using CameraX as a wrapper for the Camera2 API is that, internally, it resolves any device-specific compatibility issues that may arise. This alone will be useful for camera app developers since it can reduce boilerplate code and time spent researching camera problems. That’s not all that CameraX can do, though. While that first part is mostly only interesting to developers, there’s another part that applies to both developers and end users: Vendor Extensions. This is Google’s answer to the camera feature fragmentation on Android. Device manufacturers can opt to ship extension libraries with their phones that allow CameraX (and developers and users) to leverage native camera features. For example, say you really like Samsung’s Portrait Mode effect, but you don’t like the camera app itself. If Samsung decides to implement a CameraX Portrait Mode extension in its phones, any third-party app using CameraX will be able to use Samsung’s Portrait Mode. Obviously, this isn’t just confined to that one feature. Manufacturers can theoretically open up any of their camera features to apps using CameraX.

Personal details for the entire country of Georgia published online

Georgia flag
Personal information such as full names, home addresses, dates of birth, ID numbers, and mobile phone numbers were shared online in a 1.04 GB MDB (Microsoft Access database) file. The leaked data was spotted by the Under the Breach, a data breach monitoring and prevention service, and shared with ZDNet over the weekend. The database contained 4,934,863 records including details for millions of deceased citizens -- as can be seen from the screenshot below. Georgia's current population is estimated at 3.7 million, according to a 2019 census. It is unclear if the forum user who shared the data is the one who obtained it. The data's source also remains a mystery. On Sunday, ZDNet initially reported this leak over as coming from Georgia's Central Election Commission (CEC), but in a statement on Monday, the commission denied that the data originated from its servers, as it contained information that they don't usually collect.

AlphaFold Algorithm Predicts COVID-19 Protein Structures

AlphaFold is composed of three distinct layers of deep neural networks. The first layer is composed of a variational autoencoder stacked with an attention model, which generates realistic-looking fragments based on a single sequence’s amino acids. The second layer is split into two sublayers. The first sublayer optimizes inter-residue distances using a 1D CNN on a contact map, which is a 2D representation of amino acid residue distance by projecting the contact map onto a single dimension to input into the CNN. The second sublayer optimizes a scoring network, which is how much the generated substructures look like a protein using a 3D CNN. After regularizing, they add a third neural network layer that scores the generated protein against the actual model. The model conducted training on the Protein Data Bank, which is a freely accessible database that contains the three-dimensional structures for larger biological molecules such as proteins and nucleic acids.

Quote for the day:

"A leader knows what's best to do. A manager knows merely how best to do it." -- Ken Adelman

Daily Tech Digest - March 30, 2020

Cassandra and DataStax: Reunited, and it feels so good

Cassandra and DataStax: Reunited, and it feels so good
While single-vendor open source projects are somewhat common, they’re verboten for ASF projects. This became an issue for Cassandra, given that years ago DataStax may have contributed as much as 85 percent of the Cassandra code, by one estimate, while also running a community content forum (Planet Cassandra), Cassandra events, and more. This led to ASF accusations that DataStax exercised (or had the potential to exercise) undue influence over Cassandra. In response, DataStax pulled back, leaving the Cassandra community to fend for itself. This didn’t dissuade companies from continuing to bet big on Cassandra. Apple, for example, had long embraced the highly scalable, high-performance distributed database, as I wrote in 2015. While the company is famously cagey about sharing how it uses technology, we do know that it runs more than 100,000 Cassandra nodes today. With such a big investment in Cassandra, Apple couldn’t afford to let it fail, so Apple worked hard to ensure that stability dramatically improved from the Cassandra 3.11 release to today’s Cassandra 4.0 release.

Russia's Cybercrime Rule Reminder: Never Hack Russians

On Tuesday, Russia's Federal Security Service, known as the FSB, announced that together with Russia's Ministry of Internal Affairs, it had detained more than 30 individuals across 11 regions of the country - including Moscow, Crimea and St. Petersburg. Subsequently, authorities charged 25 of them with selling stolen credit and debit card that traced to Russian as well as foreign financial institutions. Authorities have accused the individuals, who include Russian, Ukrainian and Lithuanian citizens, of creating more than 90 online stores to sell stolen data, as well as using the stolen card data to purchase and resell more than $1 million worth of goods. Authorities say that when they searched suspects' residences, they also seized firearms, illegal drugs, gold bars, precious coins, as well as cash: $1 million in U.S. dollars as well as 3 million rubles (worth $39,000). The infrastructure being used by the alleged criminal enterprise has been shuttered, authorities say. The FSB said one of the individuals it arrested had previously been jailed for similar offenses.

DevOps loop
The First Way is to think about the performance of an entire system or process, rather than a specific silo or team. From the first line of code to successful deployment, IT departments must focus on the big picture, and emphasize larger organizational goals rather than smaller local ones. The Second Way focuses on feedback loops. A DevOps culture should accelerate and amplify feedback loops, enabling admins to identify and address any issues as quickly as possible. The Third Way fosters a culture of continual experimentation and learning, which requires IT teams to take risks and set aside time for innovation. In a DevOps culture, celebrate -- don't admonish -- rapid experimentation and rapid failure. It's this cycle of experimentation, failure and lessons learned that continually improves a DevOps practice over time. Naturally, DevOps will shake up the way any IT organization makes and measures progress. Encourage collaboration across department lines, and listen and take action on team feedback.

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Don't neglect the bread-and-butter stuff, either. As Senior Reporter Gregg Keizer explains in "How businesses can save money when everyone needs Office to work from home," you can cut costs substantially by switching to the right Office flavor. Gregg's advice may hold beyond the short term, as businesses discover that employees can work just as well at home as they do in an office. So we're paying for office space...why? Cost savings sometimes arrive in the form of needed functionality you weren't aware you already had. In "10 SD-WAN features you're probably not using, but should be," Network World contributor Neil Weinberg clues in SD-WAN customers: You may not know this, but zero-touch provisioning, application-aware routing, microsegmentation, and a bunch of other stuff may already be part of your SD-WAN solution. If you were planning on procuring any of those things separately, you don't have to. Recommendations like these will sound familiar to those who have endured previous downturns. Prioritize. Cut bait on bloated projects with uncertain return. Consider free stuff, even if it might not have every feature you want.

Ministry of Defence releases defence data management strategy

According to the report, the MoD sees more effective use of data, information and the systems that manage and process data as “vital enablers of both operational advantage and business transformation”. “New and emerging technologies can provide better capabilities to our operations and greater efficiency in our supporting functions, but success will require us to consider data differently,” it noted. “If we are to deliver improvements at speed and scale, then we must start with managing our data far more effectively than we do today,” the report added. A set of seven strategic objectives is outlined in the document. These goals relate to areas such as improvements of the availability and accessibility of defence data and implementation of data governance across the MoD, so the department can ensure the accountabilities and responsibilities for its data management. The document also outlines goals such as improving the quality and veracity of the data at the MoD, ensuring the integrity, confidentiality and security of data, and driving the consistent use of decision-making data across the department to improve coherency in the information produced from it.

Adventures in Graph Analytics Benchmarking

With all the attention graph analytics is getting lately, it’s increasingly important to measure its performance in a comprehensive, objective, and reproducible way. I covered this in another blog, in which I recommended using an off-the-shelf benchmark like the GAP Benchmark Suite* from the University of California, Berkeley. There are other graph benchmarks, of course, like LDBC Graphalytics*, but they can’t beat GAP for ease of use. There’s significant overlap between GAP and Graphalytics, but the latter is an industrial-strength benchmark that requires a special software configuration. Personally, I find benchmarking boring. But it’s unavoidable when I need performance data to make a decision. Obviously, the data has to be accurate. But it also has to be relevant to the decision at hand. It’s important that my use of a particular benchmark is aligned with its intended purpose. That’s why the performance comparison shown in Figure 1 had me scratching my head. It compares the PageRank performance of RAPIDS cuGraph* and HiBench*. The latter is a big data benchmark developed by some of my Intel colleagues to measure a wide range of analytics functions—not just PageRank.

This 5G smartphone comes with Android, Linux - and a keyboard.

London-based Planet Computers is on a mission to reinvent the iconic Psion Series 5 PDA for the smartphone age. Although mobile professionals -- especially those old enough to remember the 1997 Series 5 with affection -- are often open to the idea, the company's previous efforts, the Gemini PDA and Cosmo Communicator, have had their drawbacks. The Gemini PDA, for example, is a landscape-mode clamshell device that, despite a great keyboard, is difficult to make and take calls on and only has one camera -- a front-facing unit for video calling. The Cosmo Communicator adds a small external touch screen for notifications and some basic functions plus a rear-facing camera, but you still have to open the clamshell to do anything productive. The Astro Slide, announced today via a crowdfunding campaign on Indiegogo, has a new design with one large (6.53-inch) screen that slides open to reveal the keyboard, transforming the device from a portrait smartphone to a landscape PDA via a patented RockUp mechanism.

A Practical Guide to Data Obfuscation

The simplest way to obfuscate data is by masking out or redacting characters or digits with a fixed symbol. This is often used for credit card numbers where either the leading or the tailing digits are crossed out with an “X”. ... For more advanced anonymization, we need to look at functions that support something called differential privacy. The goal here is to apply statistical methods to modify content at a larger scope, like at the table level. Imagine, say, that you need to analyze customer data but require the birthday in order to group customers by demographics. Randomizing this piece of PII is not a good idea, as it would change the overall composition of data, often making it equally distributed across the possible value range. Instead, what is needed is a function that changes every birthday so the overall distribution stays nearly the same, but individuals are no longer identifiable. It may mean adding a few days or a few weeks to each date, but is a factor of the number of overall datasets. Query engines may offer the diff_privacy() function (or something with a similar name) for that purpose, allowing you to introduce uncertainty or jitter into your sensitive data so that the above requirement can be fulfilled.

9 offbeat databases worth a look
Many of DuckDB’s features are counterparts to what’s found in bigger OLAP products, even if smaller in scale. Data is stored as columns rather than rows, and query processing is vectorized to make the best use of CPU caching. You won’t find much in the way of native connectivity to reporting solutions like Tableau, but it shouldn’t be difficult to roll such a solution manually. Aside from bindings for C++, DuckDB also connects natively to two of the most common programming environments for analytics, Python and R. ... The goal behind HarperDB is to provide a single database for handling structured and unstructured data in an enterprise—somewhere between a multi-model database like FoundationDB and a data warehouse or OLAP solution. Ingested data is deduplicated and made available for queries through the interface of your choice: SQL, NoSQL, Excel, etc. BI solutions like Tableau or Power BI can integrate directly with HarperDB without the data needing to be extracted or processed. Both enterprise and community editions are available.

Slack redesigns app as Microsoft Teams hits 44 million users

The Slack redesign contains several elements that make the product look more like Teams. The top of the app now features a search bar and navigation buttons. Slack also added tabs for files and notifications, such as when a user tags someone in a message. Even more significant, Slack now lets paid users place channels within folders. For example, a user could put several channels in a "marketing team" folder. The setup is similar to how Teams groups channels -- except in Slack, each user gets to customize the layout. The inability to organize channels into groups had been a stumbling block for many Slack users, said Irwin Lazar, analyst at Nemertes Research. Slack should be able to get some companies to switch from free to paid plans with the introduction of folders as a premium service, he said. The redesign also lays the groundwork for Slack to introduce more real-time communications features. A newly reorganized sidebar within channels features a prominent phone icon that lets users begin a video call.

Quote for the day:

"Leadership offers an opportunity to make a difference in someone's life, no matter what the project." -- Bill Owens

Daily Tech Digest - March 29, 2020

Microsoft Patents New Cryptocurrency System Using Body Activity Data
Microsoft Technology Licensing, the licensing arm of Microsoft Corp., has been granted an international patent for a “cryptocurrency system using body activity data.” The patent was published by the World Intellectual Property Organization (WIPO) on March 26. The application was filed on June 20 last year. “Human body activity associated with a task provided to a user may be used in a mining process of a cryptocurrency system,” the patent reads, adding as an example: A brain wave or body heat emitted from the user when the user performs the task provided by an information or service provider, such as viewing advertisement or using certain internet services, can be used in the mining process. ... Different types of sensors can be used to “measure or sense body activity or scan human body,” the patent explains. They include “functional magnetic resonance imaging (fMRI) scanners or sensors, electroencephalography (EEG) sensors, near infrared spectroscopy (NIRS) sensors, heart rate monitors, thermal sensors, optical sensors, radio frequency (RF) sensors, ultrasonic sensors, cameras, or any other sensor or scanner” that will do the same job.

Is Samsung Quietly Becoming a Significant Player in the Cryptocurrency and Blockchain Industry?

It is thought that Samsung has created a processor that is dedicated to protecting the user’s PIN, pattern, password, and Blockchain Private Key with a combination of their security Knox platform. This ensures that security on their new S20 range is secure. Introducing their Blockchain Keystore last year it initially only supported ERC-20 token but added bitcoin in August of last year. Using Samsung devices with Blockchain Keystore means users can store their bitcoin and crypto wallet private keys on the device. One of the most critical issues that is overlooked is the control over a private wallet key and in most cases is the reason why most crypto thefts and hacks happen, because users fail to store their tokens in the wallets they have private keys for. This then means that if bitcoin or crypto are stored on smartphone wallets, it gives users control over their private keys and removes the control and reliance on external companies. The adoption of crypto has fallen short in recent years concerning its expectations. However, user experience developments have helped innovate technology to make using crypto more accessible.

Network of fake QR code generators will steal your Bitcoin

Bitcoin cryptocurrency
A network of Bitcoin-to-QR-code generators has stolen more than $45,000 from users in the past four weeks, ZDNet has learned. The nine websites provided users with the ability to enter their Bitcoin address, a long string of text where Bitcoin funds are stored, and convert it into a QR code image they could save on their PC or smartphone. Today, it's a common practice to share a Bitcoin address as a QR code and request a payment from another person. The receiver scans the QR code with a Bitcoin wallet app and sends the requested payment without having to type a lengthy Bitcoin addresses by hand. By using QR codes, users eliminate the possibility of a mistype that might send funds to the wrong wallet. Last week, Harry Denley, Director of Security at the MyCrypto platform, ran across a suspicious site that converted Bitcoin addresses into QR codes. While many services like this exist, Denley realized that the website was malicious in nature. Instead of converting an inputted Bitcoin (BTC) address into its QR code equivalent, the website always generated the same QR code -- for a scammer's wallet.

The 5G Economic Impact

The 5G Economic Impact
Despite its nascent status, the 5G ecosystem is already swimming in financial might. That same GSMA report predicts 5G technology will add $2.2 trillion to the global economy over the next 15 years. And operators are expected to spend more than $1 trillion on mobile capex between 2020 and 2025, with 80% of that spend directed at their 5G networks. While past technology evolutions primarily targeted the consumer market, the spend and return on 5G has a larger focus on the broader enterprise space. This includes connecting not just traditional enterprise workers and their respective mobile devices but connecting all electronic devices. This will involve a broader push toward edge deployments that can serve what are expected to be billions of connected and IoT devices. “With greater reliability and data speeds that will surpass those of 4G networks, a combination of 5G and local edge compute will pave the way for new business value,” ABI Research noted in a recent report, citing benefits gained from agility and process optimization; better and more efficient quality assurance and productivity improvement.

Adopting robotic process automation in Internal Audit

​With automation technologies advancing quickly and early adopters demonstrating their effectiveness, now is the time to understand and prioritize opportunities for Internal Audit robotic process automation. And to take important steps to prepare for thoughtful, progressive deployment. The age of automation is here, and with it comes opportunities for integrating Internal Audit (IA) robotic process automation (RPA) into the third line of defense (aka Internal Audit). IA departments, large and small, have already begun their journey into the world of automation by expanding their use of traditional analytics to include predictive models, RPA, and cognitive intelligence (CI). This is leading to quality enhancements, risk reductions, and time savings—not to mention increased risk intelligence. The automation spectrum, as we define it, comprises a broad range of digital technologies. As shown below, at one end are predictive models and tools for data integration and visualization. At the other end are advanced technologies with cognitive elements that mimic human behavior. Many IA organizations are familiar with the first part of the automation spectrum, having already established foundational data integration and analytics programs to enhance the risk assessment, audit fieldwork, and reporting processes.

A debate between AI experts shows a battle over the technology’s future

Why add classical AI to the mix? Well, we do all kinds of reasoning based on our knowledge in the world. Deep learning just doesn’t represent that. There’s no way in these systems to represent what a ball is or what a bottle is and what these things do to one another. So the results look great, but they’re typically not very generalizable. Classical AI—that’s its wheelhouse. It can, for example, parse a sentence to its semantic representation, or have knowledge about what’s going on in the world and then make inferences about that. It has its own problems: it usually doesn’t have enough coverage, because too much of it is hand-written and so forth. But at least in principle, it’s the only way we know to make systems that can do things like logical inference and inductive inference over abstract knowledge. It still doesn’t mean it’s absolutely right, but it’s by far the best that we have. And then there’s a lot of psychological evidence that people can do some level of symbolic representation.

Apache Flink in 10 Minutes

Apache Flink is an open-source stream processing framework. It is widely used by a lot of companies like Uber, ResearchGate, Zalando. At its core, it is all about the processing of stream data coming from external sources. It may operate with state-of-the-art messaging frameworks like Apache Kafka, Apache NiFi, Amazon Kinesis Streams, RabbitMQ. Let’s explore a simple Scala example of stream processing with Apache Flink. We'll ingest sensor data from Apache Kafka in JSON format, parse it, filter, calculate the distance that sensor has passed over the last 5 seconds, and send the processed data back to Kafka to a different topic. We'll need to get data from Kafka - we'll create a simple python-based Kafka producer. The code is in the appendix. ... Now we need a way to parse JSON string. As Scala has no inbuilt functionality for that, we'll use Play Framework. First, we need a case class to parse our json strings into. For simplicity, we will use automatic conversion from JSON strings to the JsonMessage. To transform elements in the stream we need to use .map transformation. The map transformation simply takes a single element as input and provides a single output. We'll also have to filter the elements that failed to parse.

Google Invents AI That Learns a Key Part of Chip Design

AI chip designing itself
“We believe that it is AI itself that will provide the means to shorten the chip design cycle, creating a symbiotic relationship between hardware and AI, with each fueling advances in the other,” they write in a paper describing the work that posted today to Arxiv. “We have already seen that there are algorithms or neural network architectures that… don’t perform as well on existing generations of accelerators, because the accelerators were designed like two years ago, and back then these neural nets didn't exist,” says Azalia Mirhoseini, a senior research scientist at Google. “If we reduce the design cycle, we can bridge the gap.” Mirhoseini and senior software engineer Anna Goldie have come up with a neural network that learn to do a particularly time-consuming part of design called placement. After studying chip designs long enough, it can produce a design for a Google Tensor Processing Unit in less than 24 hours that beats several weeks-worth of design effort by human experts in terms of power, performance, and area. Placement is so complex and time-consuming because it involves placing blocks of logic and memory or clusters of those blocks called macros in such a way that power and performance are maximized and the area of the chip is minimized.

This Simple WhatsApp Hack Will Hijack Your Account: Here’s What You Must Do Now

Photo Illustrations for Uber, Amazon, ISIS, Apple Health and more
The most obvious advice is NEVER to send a six-digit SMS to anyone for any reason. There have been other attacks covering other platforms using the same method. When a code is sent to your phone it relates to your phone. But there is a fix here that will protect your WhatsApp, even if the SMS code was sent onward. This fix will ensure you can’t fall victim to this crime. The code sent by SMS when you set up your WhatsApp account on a new phone comes directly from WhatsApp itself. The platform sets the code and sends it to you. But there is a totally separate setting in your own WhatsApp application that allows you to set your own six-digit PIN number. There is some confusion because these are both six-digit numbers—but they are entirely separate. Most people have still not set up this PIN number—the “Two-Step Verification” setting can be accessed under the Settings-Account from within the app. It takes less than a minute to set up. The PIN is for you to select, and even has the option of a backup email address. WhatsApp will ask you for the PIN when you change phones and also every so often when you’re using the app, that’s how secure it is.

How To Create Values & Ethics To AI In The Workplace?

The widespread uptake in this technology use comes at a time when more and more businesses are proactively addressing diversity and inclusivity among their workforce. Reports suggest that the US needs a curious, ethical AI workforce that works collaboratively to make reliable AI systems. In this way, members of AI development teams need to act over deep discussions regarding the implications of their work on the warfighters using them. In order to build AI systems effectively and ethically, defense organizations must encourage an ethical, inclusive work environment and procure a diverse workforce. This workforce should involve curiosity experts, a team of professionals who focus on human needs and behaviors, who are more likely to envision unsolicited and unintended consequences associated with the system’s use and mismanagement, and ask tough questions about those consequences. According to a research report, building cognitively diverse teams solve problems faster than teams of cognitively similar people. This also paves ways for innovation and creativity to flow, minimizing the risk of homogenous ideas coming to the fore.

Quote for the day:

"A leader is not an administrator who loves to run others, but someone who carries water for his people so that they can get on with their jobs." -- Robert Townsend