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Featured Google Guest Post Tech News Uncategorized Unicorns USA

Google’s Jigsaw Unit is Releasing An Open-Source Tool Called ‘Harassment Manager’ to Reduce Toxicity Online for Journalists

When covering controversial topics or live under autocratic governments, online harassment is a constant challenge. For women, it can range from nuisances like insults and memes targeting their appearance to matters of life-threatening danger. They’ve been targeted before for reporting on stories that upset powerful groups with negative feedback who feel threatened by what you’re doing coverage-wise.

Google’s Jigsaw’s team of experts has made long-standing investments in user experience research, technology, and other initiatives to help women navigate targeted harassment online. Jigsaw unit releases the code for an open-source anti-harassment tool called Harassment Manager. The program enables journalists and other public figures to manage better abusive comments on social media platforms like Twitter with Jigsaw’s Perspective API, which sorts through potentially harmful messages.

Harassment Manager is a tool that helps users identify and document harmful posts, mute or block perpetrators of harassment on social media. It has an advanced filtering and reporting system that automatically sorts messages into queues, so you can address them all at once rather than individually through the platform’s default tools which are often not effective or well-suited for dealing with harassment issues on their own account. The interface provides insights into how much “toxicity” there was in each message while it’s being processed – this helps users decide whether they want certain replies blurred out before reading them.

Harassment Managers helps users keep track of abusive messages and downloads a standalone report containing the evidence. This creates an easy paper trail for their employer or law enforcement if necessary and gives them access to services like those provided by The Thomson Reuters Foundation which will be released soon.

Paper: https://arxiv.org/pdf/2202.11168.pdf

Github: https://github.com/conversationai/harassment-manager

References:

  • https://medium.com/@JigsawTeam/5edcac127872
  • https://www.theverge.com/2022/3/8/22966204/google-jigsaw-perspective-ai-twitter-moderation-harassment-manager-journalists
  • https://www.perspectiveapi.com/
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Featured Language Tech News Uncategorized

‘Ballerina’: An Open-Source Programming Language For The Cloud That Makes It Easier To Use, Combine, and Create Network Services

With Cloud computing becoming more and more popular, software developers are being expected to create cloud-based services. There’s a new programming language on the block called Ballerina, which makes it easier for them to integrate these technologies in both pro-code or low-code form.

Ballerina is a programming language that will change how you think about building and hosting network services. Ballerina’s new general availability release, dubbed Swan Lake, makes it easier than ever before for developers to create cloud-based applications with direct support.

The programming world is a complicated and confusing place. Software developers, data analysts, and DevOps engineers are working across many languages such as Java or Python to create cloud-based services using tools that were never designed for this purpose – it creates too much complexity, resulting in delays. But now Ballerina has come along: an enterprise-grade open-source language made just for these purposes so you can have both ease and simplicity when developing your next big application.

Ballerina, a project of WS02 is entirely open-source. All parts are developed and hosted on GitHub for everyone to use.

Github: https://github.com/ballerina-platform

Tutorial: https://ballerina.io/learn/by-example/

Portal: https://ballerina.io/

Reference: https://itwire.com/cloud/there-s-a-new-open-source-programming-language-for-the-cloud-and-you-need-to-know.html

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Featured Guest Post Tech News Uncategorized

Automation & Visualization – The Next Phase of Data and AI

It has become quite evident now that the proclamation of “Data being the new oil” wasn’t hyperbolic in the least. In fact, over the last decade, there has been an unprecedented avalanche of data that is being generated, and the proliferation of connected devices has only fueled this growth.

However, the existence of large mounds of data and the need to analyze it isn’t exactly new. In fact, analytics in its most elementary form has existed for a very long time. Even as far back as in the 1950s, researchers and business organizations were going about in earnest laboriously compiling, streamlining, and analyzing whatever data they could get their hands on. With negligible technology, the majority of time and effort was spent on collecting the data, and the analysis was, more often than not, quite rudimentary.

With the turn of this century, computing power was at its absolute peak, the internet had become ubiquitous in most parts of the world, and big data had found its rightful place in the technology lexicon. As a result, large and complex data was no longer an insurmountable mountain but an exciting resource that could be mined extensively to generate meaningful insights.

The last decade, in particular, has seen an explosion of data from completely new sources such as connected devices enabled by IoT or online clickstream data generated due to the proliferation of mobile devices. However, with Cloud Computing offering speed, scalability, and accessibility, a lot of this data could be effectively analyzed not just by large enterprises but also small businesses that were previously confined to the sidelines.

Many of these small to mid-sized organizations that couldn’t afford to have a dedicated data warehouse benefited greatly from the emergence of open-source software and scripting languages. This turned out to be a boon, especially for organizations looking for a data lake where they can store all their unstructured data. Eventually, organizations are looking to derive intelligence from this unstructured data, and Cognitive Analytics can be tremendously beneficial in addressing the challenges arising from big data and providing accurate insights that actually help decision-makers.

Predictive Analytics is also equally important in developing accurate forecasts or predictions about everything, including people, products, and machines. With a reservoir of historical and current data available, businesses are always looking to extract the greatest value from it to help them predict outcomes with the sort of accuracy that was simply not possible before.

For instance, a business looking to determine customer demand during the holiday season or the probability of a machine breaking down during peak production runs would have to integrate analytical technology with their functional systems by using a micro-services approach. With analytics happening on edge, real-time decisions can be made with minimal human intervention to optimize efficiencies or prevent breakdowns.

Automated Analytics, Data Visualization, and Accelerated Insights


As the technology landscape continues to evolve, there will be certain themes that will emerge as front runners in the world of analytics and data science over the next decade.

Perhaps foremost among them is the larger idea of automation, which has already been embraced to some degree in data science. However, thanks to the progress in AI & ML, this automation will extend across the entire cycle – from data gathering and cleansing to data modeling and deployment.

This organically ties into the second theme of accelerating the process of converting data to insights. Organizations will have to connect the dots between various data ingestion tools that can work seamlessly with their data platform and provide easy to comprehend visual insights that are delivered with lightning speed.

Lastly, I see data visualization emerging as a major theme to address the need to make data analytics more accessible to a wide set of end-users. There is still a sizable gap between the professionals who work on data and the end-users who are the consumers of such data. The right data visualization platform can create immersive and engaging experiences for data consumers by making it more palatable, visual, and interactive.

Data and AI can help businesses attain operational efficiencies, make accurate forecasts, and enable timely decision-making. However, their most enduring impact will be in helping businesses create tailored products and offerings that are specifically aligned to unique customer needs and provide a greater degree of personalization that leads to long-term brand loyalty and customer advocacy.


Author: Ajay Agrawal is the Senior Vice President & Head of CoE – AI/Analytics at Happiest Minds Technologies. He spearheads the CoE for leadership around Artificial Intelligence, Data Science, Big Data, and Data Engineering among other initiatives.

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Featured Tech News Uncategorized

GitLab Repositories Integrate AI Technology from Tabnine to Provide Developers with Code Completion Suggestions

Intelligent code completion will make developers more productive by improving the accuracy and speed of their work. Tabnine’s AI-powered technology can be integrated with GitLab, which makes it possible for this service to provide an even better experience than before.

By integrating Tabnine with GitLab, developers will be able to improve their accuracy and speed of code development. In addition, they can also automate tasks using artificial intelligence technology, which is placed within the repository for a more streamlined process from start to finish.

The process of creating custom models for your team is seamless because Tabnine builds, validates, and uploads them automatically. As more developers join the project, you can receive best practice recommendations based on their shared codebase immediately.

The partnership between GitLab and Tab Nine will allow developers to work more productively in any environment, regardless of programming language or IDE.

References:

  • https://about.gitlab.com/blog/2022/03/02/bringing-ai-gitlab-repository/
  • https://www.ithome.com.tw/news/149710
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Cyber Security Featured Tech News Uncategorized

After NVIDIA, Lapsus$ Leak 190GB of Alleged Samsung Data, Source Code

The data leak of Samsung’s smartphones has been making headlines lately. A South American hacking group called Lapsus$ uploaded a trove on Friday, which they claim includes information from the smartphone manufacturer according to Bleeping Computer.

The leak of this sensitive data could cause a significant problem for Samsung. The collective has obtained all recent device bootloader sources and code related highly-personal features like biometric authentication, On-Device encryption, etc. They also say it includes confidential information from Qualcomm. This database contains approximately 190GB worth (GB), actively being shared on a torrent. According to The Korean Herald, Samsung is assessing the situation.

According to an article by Bleepingcomputer, here is a list of leaked segments:

Lapsus$ is the same Data extortion entity group that was involved in NVIDIA’s data breach. According to Vx-underground, Lapsus$ says it obtained approximately 1TB of confidential information from the GPU designer, including schematics and driver source code.

References:

  • http://www.koreaherald.com/view.php?ud=20220305000115
  • https://www.bleepingcomputer.com/news/security/hackers-leak-190gb-of-alleged-samsung-data-source-code/
  • https://www.engadget.com/samsung-lapsus-leak-181517961.html
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Amazon Featured Gaming Region Tech News Uncategorized Unicorns USA

Amazon Open It’s Luna Cloud Gaming For All: Play Your Favorite Games Straight From The Cloud

Amazon is finally ready for you to start playing games on Luna. Its cloud computing service lets users play their favorite video game from virtually any device they own – even without its dedicated controller. A new app has been released that will allow people connected via Fire TV or other tablets/phones to enjoy gaming.

Imagine being able to play your favorite games on any device without installing them? That’s possible with Luna. Once you’ve paid the monthly fee, all that needs to be done is sign into an account and start streaming! Compatible devices include Fire TV Sticks/TVs; Mac computers & laptops etc.

Amazon is expanding its Prime Gaming Channel to give gamers access to exclusive games and rotating showcases of different titles. For the month of March alone we can look forward Devil May Cry 5, Observer, System Redux and PHOGS. In addition, there will be a Flashback game available on this new channel for amazon prime members as well.

Luna gained a couple of new features, which is great for gamers. They can now stream their gaming sessions directly to Twitch and there’s also an app on iPhones and Android phones that allows them to use the phone controller with games played through Amazon Fire TV devices.

Reference:

  • https://www.zdnet.com/article/amazon-luna-cloud-gaming-service-is-now-available-to-everyone/
  • https://www.amazon.com/luna/landing-page
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Featured IoT Tech News Top Uncategorized

Top Open-Source IoT Frameworks

The Internet of Things is a vast, ever-changing landscape. It’s not one element but rather an ecosystem that consists of many different types and devices communicating with each other over the internet for data storage or processing purposes; when we combine these elements together, there needs to be some central location where everything can go in order make sense out all this information is transmitted across diverse technologies like smart TVs, home security systems, etc.

The fundamental components of IoT frameworks consist of Hardware Devices, Software Applications, Cloud and Communication Platforms, and Cloud Applications.

Here are some of the top open-source IoT frameworks:

  • KAA IoT: The Kaa IoT platform offers an open and flexible way to connect your devices. You can manage unlimited numbers of connected objects with cross-device interoperability, achieve real-time monitoring capabilities through remote provisioning/configuration services, and scale easily on modern infrastructure.
  • ZETTA: Zetta is a platform built on NodeJS, REST, and flow-based programming that uses the Siren hypermedia APIs. It abstracts away from cloud services to provide endpoints such as visualization tools or machine analytics for hacker boards.
  • MACCHINA.io: macchina.io IoT platforms provide a web-enabled, modular and extensible JavaScript runtime environment for developing gateway applications that connect to sensors from many different sources including accelerometers. This platform enables developers who work in automotive telematics or V2X systems with industrial edge computing capabilities as well.
  • ThingSpeak: The ThingSpeak IoT platform lets you visualize and analyze data from sensors in MATLAB without needing a license. It works with Arduino, Particle Photon, and Electron applications to collect sensor information privately while giving users freedom about where they want it shared publicly.
  • GE PREDIX: GE’s platform for industrial IoT is based on the concept of cloud foundry. It adds asset management, device security, and real-time analytics to support heterogeneous data acquisition access storage.
  • DeviceHive: DeviceHive is an open source platform that provides many features and can be used for public or private clouds. It supports various libraries, including Android/iOS software development kits (SDKs).
  •  Eclipse: Eclipse is an IoT platform built on top of the Java/OSGi based Kura API container for M2M applications running in service gateways. This framework can be integrated with other popular technologies, including Apache Camel, which makes it easy to create integrations between your systems or third-party modules.
  • OpenHAB: The OpenHAB IoT framework is an open-source software tool that allows users to create rules, scripts, and supports for persistently storing device states. It provides web-based UIs and supports major Linux hacker boards from different vendors who contribute their own modules to the modular stack.

References:

  • https://medium.com/techtic-solutions/10-most-popular-open-source-iot-frameworks-6bd1f80599b9
  • https://www.techtic.com/blog/top-10-open-source-iot-frameworks/
  • https://internetofthingsagenda.techtarget.com/blog/IoT-Agenda/Open-source-IoT-tools-to-choose-in-2021
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Featured Java Language Tech News Uncategorized

Java Plans To Release Java Development Kit (JDK-18) in March 2022: Checkout the Features

Java Development Kit (JDK) 18 is scheduled for release on March 22, 2022. The new version of standard Java will have nine features with the feature set having been frozen as of December 9th. JDKs are released every six months and JDK 17 just came out in September so expect another one soon.

JDK 18 Features

Seven out of these nine features can be placed into Core Java Library. These seven include:

The rest the two out of these nine features can be placed under Java Tools.

References:

  • https://openjdk.java.net/projects/jdk/18/#Schedule
  • https://www.infoworld.com/article/3630510/jdk-18-the-new-features-in-java-18.html
  • https://www.infoq.com/news/2022/03/java-18-so-far/
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Featured Google Region Tech News Uncategorized Unicorns USA

Google Introduces Cloud Functions (2nd gen) Into Public Preview: Google Cloud’s Next-Generation Functions-as-a-Service Product

Google’s Cloud Functions (2nd gen) is the next generation of their popular product as Functions-as-a-Service product. It comes with an advanced feature set that gives you more powerful infrastructure, control over performance and scalability, as well as 90 event sources from which to trigger your function. The power of the second generation is in its portability. You can run your function anywhere with just one command. The new version also offers greater flexibility in terms of when it runs – all thanks to some help from Google’s cutting-edge serverless technology called Cloud Run or Eventarc.

The new capabilities of Cloud Functions include increased concurrency (up to 1,000 concurrent requests per function instance), larger instances (16 GB memory and 4 vCPUs), and longer processing time for HTTP functions (up to 60 mins).

The new Cloud Functions features an enhanced UI that lets you customize your dashboard to suit what matters most. With improved developer experience and accessibility updates, it’s easier than ever to develop functions for any device or platform without worrying about complicated installation processes! A seamless onboarding process easily makes 1st gen and 2nd gen function development in one place.

References:

  • https://cloud.google.com/blog/products/serverless/introducing-the-next-generation-of-cloud-functions
  • https://www.infoq.com/news/2022/03/google-cloud-functions/
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Featured Tech News Uncategorized

OmniVision Leads The Pixel Shrink Race By Introducing The Smallest 0.56-micron Pixel

The world’s smallest pixel is here! From a company specializing in digital imaging products, it has been announced today the development of an incredible new 0.56-µm pixel with high quantum efficiency and excellent quad phase detection capabilities which also consumes very little power for its size – making this technology perfect for any mobile device.

The new 0.56-µm pixel design is attributed to a CMOS image sensor (CIS)-dedicated 28 nm process node and 22nm logic process node at TSMC, with an innovative 2 x 4 shared pixel architecture that embeds photodiodes deeper into silicon than ever before!

With the newest pixel size smaller than red light’s wavelength, OmniVision says that pixels shrink can no longer be limited by the wavelength of light. They promise their first 0.56 µm pixel die is scheduled to come out in Q2 2022 and smartphones equipped with this technology should debut sometime mid next year.

References:

  • https://www.ovt.com/press-releases/omnivision-leads-pixel-shrink-race-with-the-development-of-worlds-smallest-0-56-micron-pixel/
  • https://80.lv/articles/omnivision-announced-the-smallest-0-56-micron-pixel/
  • https://www.electronicproducts.com/omnivision-claims-pixel-technology-breakthrough-for-image-sensors/#