Filmmaker Reveals the Hidden Inequalities of Artificial Intelligence in Coded Bias in Online Screening by the Appalachian Theatre Sunday – High…

When an MIT researcher discovered that most facial recognition systems are less accurate with the faces of women and people of color, it brought to the forefront the issue of bias in technology that increasingly runs our society.Described byVarietyas a thought-provoking wake-up call,Coded Bias, a documentary film on the issue, will be presented in a special online screening bythe Appalachian Theatre of the High Country at 4 p.m. on Sunday, September 20 and will be followed by an online taped discussion with the films director, Shalini Kantayya. Please note the change in start time from the previous announcement about the documentary film series.

Coded Bias is the first event presented by BOONE DOCS, the newly-launched year-round film series at the App Theatre featuring documentary films that spark community conversation by presenting an independent lens to view our world. Showcasing emerging and award-winning filmmakers and distinct perspectives from across the globe, BOONE DOCS celebrates the creative power of independent film.

Artificial Intelligence (AI) technology is becoming more prevalent in areas that can profoundly impact peoples lives such as law enforcement and human resources. The film focuses on the work of three female mathematicians and data scientists Joy Buolamwini, Deborah Raji, and Timnit Gebru who research the implications of racial and gender bias in the cutting-edge technologies of AI and machine learning. Are the biases that exist in society being unconsciously replicated in the technology? Or worse, are opaque systems being used to shield deceptive practices?

As sci-fi writers have inspired the imagination of AI developers,Coded Biasdraws from science-fiction stylistic elements to visualize concepts in this new era of big data, says Kantayya, the films director. Coded Biasaims to inspire communities to spark new conversations about bias in the algorithms that impact civil liberties and democracy.

This event is made possible through the Southern Circuit Tour of Independent Filmmakers, a South Arts program. Since its inception in 1975, Southern Circuit has brought some of best independent filmmakers and their films from around the country to communities throughout the South. The program is supported by the National Endowment for the Arts.

In response to the COVID-19 pandemic, the 2020-21 Southern Circuit season features a hybrid model of in-person and online screenings to prioritize the health and flexibility of Screening Partner venues and filmmakers.

Coded Bias is offered free of charge to High Country audiences through the generous support of the theatres board of trustees. To subscribe to the theatres e-list and receive a link to view this event at no cost, visit the theatres website at http://www.apptheatre.org.

About the Appalachian Theatre

The mission of the Appalachian Theatre of the High Country is to revitalize and sustain this historic community touchstone as a quality home for diverse artists and audiences with a special focus on programs that celebrate our distinctive Appalachian heritage and enhance our capacity to serve as an economic catalyst for Boone and the High Country. Once a gorgeous 999-seat Art Deco movie house, the building closed in 2007 and sat empty and gutted for years. On October 14, 2019, the Appalachian Theatre re-opened its doors after a $10 million renovation that brought the distinctive Art Deco details back to this historic theatre and created a new 629-seat, state-of-the-art, acoustically fabulous venue for live concerts, films, plays, and dance performances. The historic Appalachian Theatre has entertained regional audiences in the heart of downtown Boone, North Carolina since 1938. http://www.apptheatre.org

About South Arts

South Arts advances Southern vitality through the arts. The nonprofit regional arts organization was founded in 1975 to build on the Souths unique heritage and enhance the public value of the arts. South Arts work responds to the arts environment and cultural trends with a regional perspective. South Arts offers an annual portfolio of activities designed to support the success of artists and arts providers in the South, address the needs of Southern communities through impactful arts-based programs, and celebrate the excellence, innovation, value and power of the arts of the South. For more information, visitwww.southarts.org.

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Filmmaker Reveals the Hidden Inequalities of Artificial Intelligence in Coded Bias in Online Screening by the Appalachian Theatre Sunday - High...

COVID-19 Recovery Analysis: Artificial Intelligence Platforms Market | Rise In Demand For AI-based Solutions to boost the Market Growth | Technavio -…

LONDON--(BUSINESS WIRE)--Technavio has been monitoring the artificial intelligence platforms market and it is poised to grow by $ 12.51 bn during 2020-2024, progressing at a CAGR of over 33% during the forecast period. The report offers an up-to-date analysis regarding the current market scenario, latest trends and drivers, and the overall market environment.

Although the COVID-19 pandemic continues to transform the growth of various industries, the immediate impact of the outbreak is varied. While a few industries will register a drop in demand, numerous others will continue to remain unscathed and show promising growth opportunities. Technavios in-depth research has all your needs covered as our research reports include all foreseeable market scenarios, including pre- & post-COVID-19 analysis. We offer $1000 worth of FREE customization

The market is concentrated, and the degree of concentration will accelerate during the forecast period. Alibaba Group Holding Ltd., Alphabet Inc., Amazon Web Services Inc., International Business Machines Corp., Microsoft Corp., Palantir Technologies Inc., Salesforce.com Inc., SAP SE, SAS Institute Inc., and Tata Consultancy Services Ltd. are some of the major market participants. To make the most of the opportunities, market vendors should focus more on the growth prospects in the fast-growing segments, while maintaining their positions in the slow-growing segments.

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Rise in demand for ai-based solutions has been instrumental in driving the growth of the market. However, the rise in data privacy issues might hamper the market growth.

Technavio's custom research reports offer detailed insights on the impact of COVID-19 at an industry level, a regional level, and subsequent supply chain operations. This customized report will also help clients keep up with new product launches in direct & indirect COVID-19 related markets, upcoming vaccines and pipeline analysis, and significant developments in vendor operations and government regulations. Download a Free Sample Report on COVID-19 Impacts

Artificial Intelligence Platforms Market 2020-2024: Segmentation

Artificial Intelligence Platforms Market is segmented as below:

Artificial Intelligence Platforms Market 2020-2024: Scope

Technavio presents a detailed picture of the market by the way of study, synthesis, and summation of data from multiple sources. The artificial intelligence platforms market report covers the following areas:

This study identifies the rise in investments in AI start-ups as one of the prime reasons driving the artificial intelligence platforms market growth during the next few years.

Technavio suggests three forecast scenarios (optimistic, probable, and pessimistic) considering the impact of COVID-19. Technavios in-depth research has direct and indirect COVID-19 impacted market research reports.

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Artificial Intelligence Platforms Market 2020-2024: Key Highlights

Table of Contents:

Executive Summary

Market Landscape

Market Sizing

Five Forces Analysis

Market Segmentation by Deployment

Customer landscape

Geographic Landscape

Vendor Landscape

Vendor Analysis

Appendix

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Technavio is a leading global technology research and advisory company. Their research and analysis focus on emerging market trends and provides actionable insights to help businesses identify market opportunities and develop effective strategies to optimize their market positions. With over 500 specialized analysts, Technavios report library consists of more than 17,000 reports and counting, covering 800 technologies, spanning across 50 countries. Their client base consists of enterprises of all sizes, including more than 100 Fortune 500 companies. This growing client base relies on Technavios comprehensive coverage, extensive research, and actionable market insights to identify opportunities in existing and potential markets and assess their competitive positions within changing market scenarios.

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Computer Vision in Artificial Intelligence (AI) Market Expected to Witness High – GroundAlerts.com

The ' Computer Vision in Artificial Intelligence (AI) market' study Added by Market Study Report, LLC, delivers an in-depth outline regarding the powerful trends existing within the industry. The study also comprises significant information concerning growth prospects, growth dynamics, market share, market size and revenue estimation of this business vertical. The report further features highlight key challenges and growth opportunities faced by the contenders of this industry, as well as enlightens the current competitive setting and growth plans enforced by the Computer Vision in Artificial Intelligence (AI) market players.

The business intelligence summary of Computer Vision in Artificial Intelligence (AI) market is a compilation of the key trends leading the business growth related to the competitive terrain and geographical landscape. Additionally, the study covers the restraints that upset the market growth and throws light on the opportunities and drivers that are anticipated to foster business expansion in existing and untapped markets. Moreover, the report encompasses the impact of the COVID-19 pandemic, to impart a better understanding of this industry vertical to all the investors.

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Artificial Intelligence Market is Anticipated to Grow at a Strong CAGR by 2027 || Welltok, Inc., Intel Corporation, Nvidia Corporation, Google Inc.,…

(Global News)-The data and info collected to frame this large scaleArtificial Intelligence Marketreport is based on the modules with large sample sizes. The report provides complete market analysis and forecasting, market definition, market drivers and market restraints, market share, market segmentation and analysis of key players in the market. This market report gives details about major manufacturers, suppliers, distributors, traders, customers, investors, major types, and major applications. This Artificial Intelligence Market market report also brings into focus key opportunities in the industry and influencing factors which aids in taking business to the new level.

Global Artificial Intelligence Market accounted for USD 16.14 billion in 2017 and is projected to grow at a CAGR of 37.3% the forecast period to 2026.

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Market Drivers and Restraints:

Key Players:Global Artificial Intelligence Market

The renowned players in artificial intelligence market are Welltok, Inc., Intel Corporation, Nvidia Corporation, Google Inc., IBM Corporation, Microsoft Corporation, General Vision, Enlitic, Inc., Next IT Corporation, iCarbonX, Amazon Web Services, Apple, Facebook Inc., Siemens, General Electric, Micron Technology, Samsung, Xillinx, Iteris, Atomwise, Inc., Lifegraph, Sense.ly, Inc., Zebra Medical Vision, Inc., Baidu, Inc., H2O ai, Enlitic, Inc. and Raven Industries.

Table of Content: Artificial Intelligence Market

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The Global research study analyzes the industry from 360-degree analysis of the market thoroughly delivering insights into the market for better business decisions, considering multiple aspects some of which are listed below as:

Other important Artificial Intelligence Market data available in this report:

Recent Developments

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Government Is Examining The National Strategy On Artificial Intelligence – Analytics India Magazine

Rao Inderjit Singh, the Minister of State (Independent Charge) for Statistics, Programme Implementation & Planning recently said that the government is examining the national strategy on artificial intelligence and that a cabinet note on the same is under consideration.

While responding to a question in Rajya Sabha, he said that the draft cabinet note (DCN) on implementation of the national strategy on AI is being steered by MeitY and the same is under examination.

The government of India has recognised the potential of AI and belives that it can boost the countrys GDP with $957 billion by 2035. It also said that it is expected to boost Indias annual growth by 1.3% by the same year. With this in mind, MeitY and NITI Aayog are working on the national strategy on artificial intelligence, which was released in June 2018. It outlines the proposed efforts in research, development, adoption and skilling in AI.

Apart from this, the paper AIRAWAT: An AI Specific Cloud Compute Infrastructure released earlier this year proposes the design, administration structure, and component of choosing different partners to boost AI.

NITI Aayog has also proposed an investment of Rs 7,500 crore in funding five institutes or centres for research excellence (CORE), 20 international centres for transformational AI (ICTAI).

The Indian government has been quite optimistic about the benefits that AI is going to bring for the overall growth of the country, and these efforts are aimed at pushing the developments in the field and make the country an AI-power.

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Government Is Examining The National Strategy On Artificial Intelligence - Analytics India Magazine

How AI can transform healthcare | Technology & AI – Healthcare Global – Healthcare News, Magazine and Website

Artificial intelligence is driving changes in almost every industry, healthcare included. The cost of healthcare has been rising rapidly for decades on end. Some studies have concluded that healthcare will account for over 20% of the GDP of the US by 2025. At the same time, healthcare professionals are working hard to treat the increasing number of patients with their high patient care expectations. Artificial intelligence could be the solution that the industry is desperately searching for.

Simply put, artificial intelligence is intelligence which is demonstrated by machines, as opposed to the natural intelligence displayed by humans Artificial intelligence is sometimes also referred to as machine learning. AI mainly functions through the use of algorithms, which is a set of instructions that a mechanical computer is able to execute.

Artificial intelligence and machine learning can help save time in diagnostics and treatment, ultimately trimming down costs in labour, which decreases the total cost. The company Athelas uses machine learning and computer vision to be able to identify morphology and quickly characterize cell types through a tiny finger prick of blood. Athelas CEO Tanay Tandon on the innovative use of artificial intelligence, clinicians and health plans are able to save thousands of dollars annually per patient by reducing hospitalizations, detecting adverse events earlier from frequent Athelas tests, and by keeping patients safely compliant on necessary therapeutics. This technology is used by thousands of clinicians to save time and money.

In the healthcare industry, accuracy is key, artificial intelligence allows for the improved accuracy of diagnostics and many other aspects of healthcare, more accurate information can lead to better preparations and decisions, for example, AI can aid in the reporting of COVID-19 cases which can help hospitals and workers make critical decisions along the road to recovery.

Do you think artificial intelligence technology can transform the healthcare industry for the better? Tweet us at @HealthcareDog and let us know.

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Artificial Intelligence In Food Beverages Market Competitive Analysis And Top Profiling Forecasts Till 2026 Tomra System Asa, Greefa, Honeywell…

The report showcases important product developments and tracks recent acquisitions, mergers and research in the industry by the key players. Not to mention, this market report endows with an exhaustive study for the present and upcoming opportunities in the market which brings into light the future investment in the market. The data and information collected for preparing this market report is generally quite a huge and also in a complex form which is simplified in the report. Market share analysis and key trend analysis are the major accomplishing factors of this market document. Artificial Intelligence In Food Beverages Market research report assists in growing business in many ways.

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Artificial Intelligence In Food Beverages Market Top Key Players are:

Few Of The Major Competitors Currently Working In Global Artificial Intelligence In Food & Beverages Market Are Tomra System Asa, Greefa, Honeywell International Inc., Martec Of Whitell Ltd. Sesotec Gmbh,.,Key Technology Inc., Raytec Vision Spa, Rockwell Automation, Abb Ltd., Foodable Network, Llc. Startup Creator, Compac Sorting Equipment, Agco Corporation, National Recovery Technologies, Llc, Max-Ai, Buhler Ag|, Qualysense Ag, Bratney Companies, Bomill Ab, Milltec Clarfai, Inc., Bbc Technologies, Intelligentx Brewing Co.,

Global Artificial Intelligence In Food & Beverages Market Is Driven By Increasing Adoption Of Smart Devices In The Food & Beverage Sector Which Is Projecting A Rise In Estimated Value From Usd 6,385.64 Million In 2018 To An Estimated Value Of 115,397.92Million By 2026, Registering A Cagr Of 43.59% In The Forecast Period Of 2019-2026.

Artificial Intelligence In Food Beverages Market Report Overview:

Market reports are important when it comes to understanding the competitions and trends floating throughout the market. This PR on the global Artificial Intelligence In Food Beverages market contains and covers all the important aspects for the market players. It is of paramount importance to understand the technologies used and applications of the products followed the innovations in the field like the discovery of eco-friendly raw materials, which helps in adopting the latest technologies and competing the market players. In addition, this report also covers the in-depth study of the major market players working strategies to understand the cultures.

Artificial Intelligence In Food Beverages Market Competition:

The global Artificial Intelligence In Food Beverages market has become a crowded place leading to an increase in competition. This report unfolds various aspects of the market in terms of the key market players, rapidly growing players, and understanding the strategies employed by these market toppers.

Artificial Intelligence In Food Beverages Market Dynamics:

Understanding the market is of paramount importance when establishing the new business or expanding it from local to global levels. The global Artificial Intelligence In Food Beverages market report emphasizes the driver & restraints, competition, new trends, opportunities, and other factors to unfold this markets aspects and understand them. This is followed by a detailed report on the research & development programs, which helps get the details about the latest trends and upcoming technologies. All these points will help in surviving the competition and getting a better stance until the next survey.

Artificial Intelligence In Food Beverages Market Segmentation:

The global Artificial Intelligence In Food Beverages market is growing at global levels at unstoppable speeds, which has increased the demands for a better understanding of the regional markets. This report contains a detailed overview of the major global markets in American, Europe, Asia Pacific, and The Rest of the world regions. It explains the major factors helping the market players to invest smartly in the regions with maximum opportunities and potentials. This study also contains a detailed explanation of the changing government regulations in local and regional markets.

Research Methodology:

When it comes to preparing an effective and accurate report, the research methodology should follow a predefined and accurate method. This report on the global Artificial Intelligence In Food Beverages market is prepared based on Porters Five Forces Model (market competition, threats from new players, the threat from substitutes, power of suppliers, and customers power) and SWOT (Strengths, Weaknesses, Opportunities, and Threats) analysis, which helps in collecting and compiling the best report supported by the data.

Fundamentals of Table of Content: Artificial Intelligence In Food Beverages Market

1 Report Overview1.1 Study Scope1.2 Key Market Segments1.3 Players Covered1.4 Market Analysis by Type1.5 Market by Application1.6 Study Objectives1.7 Years Considered

2 Global Growth Trends2.1 Artificial Intelligence In Food Beverages Market Size2.2 Artificial Intelligence In Food Beverages Growth Trends by Regions2.3 Industry Trends

3 Market Share by Key Players3.1 Artificial Intelligence In Food Beverages Market Size by Manufacturers3.2 Artificial Intelligence In Food Beverages Key Players Head office and Area Served3.3 Key Players Artificial Intelligence In Food Beverages Product/Solution/Service3.4 Date of Enter into Artificial Intelligence In Food Beverages Market3.5 Mergers & Acquisitions, Expansion Plans

4 Breakdown Data by Product4.1 Global Artificial Intelligence In Food Beverages Sales by Product4.2 Global Artificial Intelligence In Food Beverages Revenue by Product4.3 Artificial Intelligence In Food Beverages Price by Product

5 Breakdown Data by End User5.1 Overview5.2 Global Artificial Intelligence In Food Beverages Breakdown Data by End User

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Features and key highlights of Artificial Intelligence In Food Beverages Market

Opportunities in the Global Artificial Intelligence In Food Beverages Market report

1.Comprehensive quantitative analysis of the industry is provided for the period of 2016-2023 to assist stakeholders to capitalize on the prevailing market opportunities.

2.Comprehensive analysis of the factors that drive and restrict the market growth is provided in the report.

3.Extensive analysis of the key segments of the industry helps in understanding the trends in types of point of care test across regional.

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Artificial Intelligence In Food Beverages Market Competitive Analysis And Top Profiling Forecasts Till 2026 Tomra System Asa, Greefa, Honeywell...

AI Is Making Our Lives Better In Weird And Wonderful Ways, Heres How – Gizmodo Australia

This article is sponsored by Billy Blue College of Design at Torrens University Australia.

When some people hear the term artificial intelligence their initial reaction is to imagine a dystopian future where robots have risen up and overthrown humanity. The truth is, application of AI technology in our day-to-day lives is a lot less sinister. It might not be long before these technologies become common in our everyday lives.

Its currently assisting with medical diagnosis, the creation of autonomous cars and to help improve businesses by analysing data and creating accurate forecasts of client or market behaviour. The application of AI is becoming more and more popular in businesses worldwide, with the potential to improve our lives in unexpected ways.

You may not have realised it, but AI technology could already be playing a role in your life. If you happen to use one of the various virtual assistants currently available on the market, like Amazons Alexa, Apples Siri or Google Assistant, you are directly engaging with AI. These assistants are able to process data fed to them by their users, and use machine learning to tailor responses that fit their owners needs.

In 2019, OpenAI trained a pair of neural networks to solve a Rubiks Cube with a human-like robot hand. This was achieved by teaching the AI through reinforcement learning, exposing it to a series of randomised simulations. On the surface, solving a Rubiks Cube may seem like a weird application of AI, but the development and results from this technology can help with the creation of robots that have human-level dexterity.

According to IBM Developer Advocate Steve Coochin, AI systems such as IBMs Watson have the potential to be applied to virtually any scenario, industry or organisation to streamline processes, increase effectiveness, and accelerate progress.

One example is Prometeo, from our Call for Code hackathon, Coochin explains, an AI solution which uses machine learning to monitor and support firefighter health and safety in real-time while they are putting out fires.

Using Watson Machine Learning predicative model, the technology can reply in real time with a green, yellow, or red firefighter status to the fire station.

Artificial intelligence technology is currently being used to help keep Australias bee industry alive through biosecurity. Begas recent Purple Hive Project is designed to help stop entire hives from being wiped out by using AI technology to detect whether bees are carrying the Varroa mite. This tiny parasite attaches itself to unsuspecting bees, feeding on their blood and can spread viruses that can devastate entire colonies.

These bright purple hives are equipped with 360-degree cameras that scan each bee that enters. Using AI technology, it can detect whether or not a bee is carrying the Varroa mite. If a bee is a confirmed carrier, the hive will send an automatic alert to the beekeepers so they can quarantine the hive.

By making sure Australias bee population remains healthy, this AI technology is also helping to keep our local agriculture industry alive as, according to the CSIRO, one in every three mouthfuls of food that we consume comes to us through the aid of pollination by honeybees.

AI has the great potential to help improve pre-existing software and information technologies, but theres also the possibility of it being used for entertainment purposes, too. One of the more popular, recent examples of this would be AI Dungeon. Its a free text-based adventure game that creates unique stories by auto-generating responses based on what the player types.

AI Dungeon uses a language model known as Generative Pre-trained Transformer (GPT-3), which allows for deep learning to produce human-like text. Depending on which genre setting you choose at the start of the game, AI Dungeon will procedurally generate a story based on previous learnings and your inputs, which, for the most part, will read as a coherent story.

One of the stranger applications of it is the website DeepArt, which creates AI-assisted art. This platform uses an algorithm to pull stylistic elements from a chosen image and apply it to another. For example, you can upload a normal photo of your bedroom and use DeepArts algorithm to make it look like Vincent van Goghs The Starry Night or Paul Czannes The Large Bathers.

These various applications of AI technology may sound interesting, but how can you become a part of this expanding frontier? Enrolling in one of Billy Blue College of Design at Torrens University Australias software engineering or digital transformation-based courses, such as a Bachelor Of Software Engineering (Artificial Intelligence) or Graduate Certificate of Digital Transformation and Creative Intelligence, will let you begin your adventure into creative technology, opening you up to the world of AI development.

To make sure you get the most from these courses, theyve been developed in collaboration with IBM, who are currently leading the pack when it comes to AI. According to the IDC Market Share, IBM has been ranked the market share leader for the third year running.

IBM have become the frontrunners in the world of artificial intelligence for a few reasons. Firstly, the sturdy information architecture of their Cloud Pak for Data helps businesses by using automated AI to collect, organise and analyse data, making it easy to manage and access. Theyve also aimed for transparency when it comes to the development of AI technologies. Their Watson OpenScale platform allows business to measure and track the deployment of AI technology to meet set outcomes, allowing for a clearer explanation of how they work.

Billy Blue will teach you important skills used in AI development, such as design thinking, creative intelligence and human centred design, as well as giving you the tools to learn about topics like computer vision, natural language processing and machine learning. Through their collaboration with IBM, they hope to put this technology into your hands. With these tools along with your imagination youll be able to discover the vast possibilities within the field of AI technology.

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AI Is Making Our Lives Better In Weird And Wonderful Ways, Heres How - Gizmodo Australia

WhatsApp’s Encryption Hasn’t Kept It Safe From Stalkerware – Gizmodo

Photo: Lionel Bonaventure (Getty Images)

Among the sprawl of properties in the Facebook family, WhatsApps perhaps the only one thats preached preserving user privacy and actually followed through. But that hasnt stopped bad actors from finding new ways to spy and snoop without the platformsor any userssay-so.

As a new investigation from Business Insider details, apps promising to probe the platformand its usersfor sometimes sensitive intel have come cropping up across the Apple and Android ecosystems. And while this might not be a great look for a trio of companies that have spent the past year trying to one-up their promises to protect their users privacy, none of them appear too motivated to snuff out this new form of stalkerware.

Its worth clarifying here that these apps arent magic. WhatsApps spent the past six years staunchly setting end-to-end encryption as the default for all messages sent over its pipes. And save for the occasional oopsie, that encryption does its job, which means that no third party is going to decipher the messages or pictures being sent back and forth over the platform unless they can actually get their hands on your physical device and pump it full of malware.

Instead, these stalkerware services seem to rely on the one public-facing bit of user information that WhatsApp actually allows to be accessed: an innocuous widget that notifies users when someone is on the app or off. Its a ho-hum piece of data thats typically used to know, say, whether your uncle overseas is around for a call. But data, even tiny breadcrumbs like this, never exists in a vacuum, which is why its a disappointing inevitability that something so simple could be used for tracking something like when your ex-girlfriend is sleeping.

The way this sort of sorta-stalkerware operates is pretty simple. A person just downloads one of these apps and plugs in the phone number of the other person theyre looking to track, and then that phone is monitored round the clock for any online or offline signals. Over the next few days, weeks, or months, this builds up a pretty good picture of the targets typical schedulewhen theyre waking up, when theyre sleeping, and when theyre most likely to be hanging out in-app. Some of the apps Business Insider dug up bragged about the ability to track whether or not two contacts were likely to be talking to each other at any given time, based on how often theyre online simultaneously. Naturally, this all happens without that targets consent.

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The efficacy of these apps is questionable, given that this single bit of Whatsapp data is binary: either the app is open or not, theres not idle state. People who choose to leave Whatsapp open while not actively texting or calling are, in a way, foiling this script kiddie-level stalkerware by transmitting functionally incorrect data. Still, the fact that anyone would want to snoop on strangers this way and that a willing network of enablers would build the tools to let them, regardless of the validity of their findings isto use the technical termfucking gross.

Some of these apps sneak manage to slide by under the guise of being handy tools to monitor whether your kids are getting up to some funny business when theyre not supposed to be, while others are more upfront about exactly how slimy they are. One of the webpages for the programs that Gizmodo found pitches itself as a way for parents to get notifications about their kids whereabouts even if they block you, while elsewhere describing how the same could be done for your friends, lover, [or] wife. Another app found in the initial report is even more explicit about what its there to snoop on:

Something is up. Maybe your significant other keeps texting under the covers late at night or taking suspicious trips to the bathroom at all hours with their phone in their hand. Maybe one of your employees is acting strangely every time you catch them sending a Whatsapp message during work hours, and you want to know what it is theyre sending. Or perhaps its even your teenager, who has been refusing to tell you who theyve been sending messages to in the dead of night and why theyre staying out so late after school. Either way, something isnt right, and you know it.

WhatsApp reps told Business Insider that the platforms terms bar this sort of tampering outright, and that the company [requests] that app stores remove apps that abuse our brand and violate those terms in the process. They also confirmed that disabling the online notification for a given user is functionally impossiblemeaning that theyre offering little protection beyond this sort of verboten tampering beyond politely asking Apple and Google to knock it off.

Meanwhile, both app store companies are stuck in a game of whack-a-mole with these programs as they arise. Thus far, it looks like theyre each doing a fairly shitty job: while Google does take its policies prohibiting ads or promotions for spyware pretty seriously, those policies are lackluster at best, with the latest update explicitly allowing this sort of tech if it was marketed to parents, rather than jealous exes. Apples own policies touch on malware, but not spyware, which means these apps are also free to proliferate across that ecosystem.

In other words, it seems like all of these companies have regarded this gross invasion of privacy as something thats either entirely kosher, or just not their problem to solve. Were reached out to Whatsapp, Apple, and Google for comment and will update if we hear back.

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WhatsApp's Encryption Hasn't Kept It Safe From Stalkerware - Gizmodo

This Week In Security: AD Has Fallen, Two Factor Flaws, And Hacking Politicians – Hackaday

The big news this week is the huge flaw in Microsofts Active Directory, CVE-2020-1472 (whitepaper). Netlogon is a part of the Windows domain scheme, and is used to authenticate users without actually sending passwords over the network. Modern versions of Windows use AES-CFB8 as the cryptographic engine that powers Netlogon authentication. This peculiar mode of AES takes an initialization vector (IV) along with the key and plaintext. The weakness here is that the Microsoft implementation sets the IV to all zeros.

Its worth taking a moment to cover why IVs exist, and why they are important. The basic AES encryption process has two inputs: a 128 bit (16 byte) plaintext, and a 128, 192, or 256 bit key. The same plaintext and key will result in the same ciphertext output every time. Encrypting more that 128 bits of data with this naive approach will quickly reveal a problem Its possible to find patterns in the output. Even worse, a clever examination of the patterns could build a decoding book. Those 16 byte patterns that occur most often would be guessed first. It would be like a giant crossword puzzle, trying to fill in the gaps.

This problem predates AES by many years, and thankfully a good solution has been around for a long time, too. Cipher Block Chaining (CBC) takes the ciphertext output of each block and mixes it (XOR) with the plaintext input of the next block before encrypting. This technique ensures the output blocks dont correlate even when the plaintext is the same. The downside is that if one block is lost, the entire rest of the data cannot be decrypted Update: [dondarioyucatade] pointed out in the comments that its just the next block that is lost, not the entire stream. You may ask, what is mixed with the plaintext for the first block? There is no previous block to pull from, so what data is used to initialize the process? Yes, the name gives it away. This is an initialization vector: data used to build the initial state of a crypto scheme. Generally speaking, an IV is not secret, but it should be randomized. In the case of CBC, a non-random IV value like all zeros doesnt entirely break the encryption scheme, but could lead to weaknesses.

Netlogon, on the other hand, uses a Cipher FeedBack (CFB8) mode of AES. This mode takes a 16 byte IV, and prepends that value to the data to be encrypted. The basic AES operation is performed on the first 16 bytes of this message (just the IV). The first byte of the output is XORd with the 17th byte of the combined string, and then the 16 byte window slides one byte to the right. When the last byte of the plaintext message has been XORed, the IV is dropped and the process is finished. The peculiar construction of AES-CFB8 means that a random IV is much more important to strong encryption.

Remember the actual flaw? Microsofts implementation sets that IV value as all zeros. The encryption key is generated from the password, but the plaintext to be encrypted can be specified by the attacker. Its fairly simple to manipulate the situation such that the entire IV + Plaintext string consists of zeros. In this state, 1-in-256 keys will result in an all-zero ciphertext. Put another way, the 128-bit security of AES is reduced to 8-bit. Within just a handful of guesses, an attacker can use Netlogon to authenticate as any user.

Microsoft has patched the issue in their August security updates. While its true that exploiting this issue does require a toehold in a network, the exploitation is simple and proof of concept code is already available. This is definitely an issue to go patch right away.

Via Ars Technica

Few security truisms are as universal as Enable two factor authentication. There is a slight gotcha there. 2FA adds an extra attack surface. Palo Alto found this out the hard way with their PAN-OS systems. With 2FA or the captive portal enabled, its possible to exploit a buffer overflow and execute code as root. Because the interface to be exploited is often exposed to the public, this vulnerability scored a 9.8 critical rating.

Magento is an e-commerce platform, owned by Adobe since 2018. To put that more simply, its a shopping cart system for websites. In the last few days, it seems that nearly 2,000 Magento v1 instances were compromised, with a digital skimmer installed on those sites. The rapid exploitation would suggest that someone had a database of Magento powered sites, and acquired a zero-day exploit that could be automated.

Its been the fodder of pundits and politicians for years now, to talk about hacking elections, particularly by a particularly large country in northern Asia. Be it bravery or foolishness, were actually going to take a brief look at some real stories of political hacking.

First up, A trio of Dutch hackers managed to break into Donald Trumps twitter account back in 2016, just before the election. How? The same story were all familiar with: password re-use and a LinkedIn database dump. Fun fact, Donald Trumps favorite password was yourefired.

A successful break-in is often accompanied by a moment of terror. Did I do everything right, or am I going to jail for this? Its not an unfounded fear. Breaking into a corporation is one thing, but what happens to the guys that hacked the president of the US? The moment their long-shot attempts paid off, they went into defensive mode, and documented everything. Once they had their documentation safely secured, an email was sent off to USCERT (United States Computer Emergency Readiness Team) informing them of what was found. Our Dutch friends havent been arrested or disappeared, so it seems their responsible disclosure was well received.

In a similar story, a former Australian prime minister posted a picture online containing his boarding pass, and a resourceful researcher managed to use that information to recover his passport and telephone number. Did you know that a boarding pass is considered sensitive information? To authenticate with an airline, all that is needed is a last name and matching booking reference number. This gets you access to a very uninteresting page, but when you have access to 1337 hackor tools (like Google Chromes page inspector), the sky is the limit. Apparently the Qantas website backend was sending everything in the database about the given customer, and only a few bits of that information was being shown to the user. Far more information was just waiting to be sniffed out.

The whole story is a trip, and ends with a phone call with the politician in question. Go read it, you wont regret it.

[Dr. Neal Krawetz] runs a TOR hidden service, and found himself the victim of a DDoS attack over the TOR network. He called up a friend who did network security professionally, and asked for help. After reading out half of the public IP address where the hosting server lived, his friend told him the rest of the address. Lets think through that process. Hidden TOR service under attack, someone with access to a big enough Network Operations Center (NOC) can tell what the Public IP address of that service is. This is a fundamental break in TORs purpose.

In retrospect, its pretty obvious that if you can watch traffic on a large chunk of the internet, or enough of the TOR nodes, you can figure out what service is running where. The surprise is how small the percentage needs to be, and that there are already companies (and certainly three-letter agencies) that casually have the capability to make those connections. [Krawetz] calls these flaws 0-days, which is technically correct, because there are no real mitigations in place to protect against them. Really, it should serve as a reminder of the limitations of the TOR model.

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This Week In Security: AD Has Fallen, Two Factor Flaws, And Hacking Politicians - Hackaday