Mediaboss Marketing

Facebook is continuously facing privacy and security issues, and the users exposure to sensitive data on the platform just adds salt to the wounds. Facebook is famous for the spread of misinformation along with offensive content that could lead to wrong messages. Even though these are serious allegations, still Facebook says that they try to remove harrowing content as much as they can.

Facebook has thousands of content moderators all over the world including their always-on artificial intelligence service to detect offensive content. Since technology has taken over our lives, Facebook is also making its way towards it.

Now, most of the content moderation on Facebook is done by machine-learning systems. In this way, the moderators do not have to review a lot of content themselves, instead, artificial intelligence is doing all the work for them.

Facebook claims that they detect 98% of terrorist photos and videos before users can even see them. This is how far Facebook has come in content moderation, much appreciated!

Currently, Facebook is training its machine learning systems to identify objects as dangerous in its videos by labeling them. They are using neural networks to identify objects based on their behaviors and features and label them with confidence and percentage.

Right now, Facebook is training these networks on a variety of videos along with pre-labeled videos. The networks have the capability to identify the whole scenario in the picture and highlight any flags (if any).

This is a wise step taken by Facebook, but it is still struggling to automate the machines understanding of language, meaning, and nuance. It is because of the machines inability that Facebook highly depends on content moderators to review harassment and bullying content on the platform. AI systems do not have the capability to identify much content as of now, but it might in the future.

Read next: Facebook to Start Suggesting Moderators for Groups

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Facebook Artificial Intelligence to take the place of its Content Moderators - Digital Information World

DUBLIN--(BUSINESS WIRE)--The "Digital Transformation Asia Pacific: 5G, Artificial Intelligence, Internet of Things, and Smart Cities in APAC 2019 - 2024" report has been added to ResearchAndMarkets.com's offering.

This report identifies market opportunities for deployment and operations of key technologies within the Asia Pac region.

While the biggest markets China, Korea, and Japan often get the most attention, it is important to also consider the fast growing ASEAN region including Indonesia, Malaysia, Philippines, Singapore, Thailand, Brunei, Laos, Myanmar, Cambodia, and Vietnam. In fact, many lessons learned in leading Asia Pac countries will be applied to the ASEAN region.

By way of example, H3C Technologies Co. is planning to offer a comprehensive digital transformation platform within Thailand that includes core cloud and edge computing, big data, interconnectivity, information security, IoT, AI, and 5G solutions.

From predicting what will happen with 5G technology in the next few years to identifying how 5G will transform business, Digital Transformation Asia Pacific: 5G, Artificial Intelligence, Internet of Things, and Smart Cities in APAC 2019 - 2024 is must-have research for any ICT company looking to expand business within the region. This report represents the most comprehensive research available focused on the role and impact of 5G, AI, and IoT technologies in Asia Pac. It also provides analysis about how these technologies will have a positive feedback loop effect with smart cities.

The AI segment is currently very fragmented, characterized with most companies focusing on silo approaches to solutions. Longer-term, researchers see many solutions involving multiple AI types as well as integration across other key areas such as the Internet of Things (IoT) and data analytics. AI is expected to have a big impact on data management. However, the impact goes well beyond data management as we anticipate that these technologies will increasingly become part of every network, device, application, and service.

Data analytics at the edge of networks is very different than centralized cloud computing as data is contextual (example: collected and computed at a specific location) and may be processed in real-time (e.g. streaming data) via big data analytics technologies. Edge Computing represents an important ICT trend in which computational infrastructure is moving increasingly closer to the source of data processing needs. This movement to the edge does not diminish the importance of centralized computing such as is found with many cloud-based services. Instead, computing at the edge offers many complementary advantages including reduced latency for time sensitive data, lower capital costs and operational expenditures due to efficiency improvements.

For both core cloud infrastructure and edge computing equipment, the use of AI for decision making in IoT and data analytics will be crucial for efficient and effective decision making, especially in the area of streaming data and real-time analytics associated with edge computing networks. Real-time data will be a key value proposition for all use cases, segments, and solutions. The ability to capture streaming data, determine valuable attributes, and make decisions in real-time will add an entirely new dimension to service logic. In many cases, the data itself, and actionable information will be the service.

Many industry verticals will be transformed through AI integration with enterprise, industrial, and consumer product and service ecosystems. It is destined to become an integral component of business operations including supply chains, sales, and marketing processes, product and service delivery and support models. The term for AI support of IoT (or AIoT) is just beginning to become part of the ICT lexicon as the possibilities for the former adding value to the latter are only limited by the imagination.

AI, IoT, and 5G will provide the intelligence, communications, connectivity, and bandwidth necessary for highly functional and sustainable smart cities market solutions. The combination of these technologies are poised to produce solutions that will dramatically transform all aspects of ICT and virtually all industry verticals undergoing transformed through AI integration with enterprise, industrial, and consumer product and service ecosystems. The convergence of these technologies will attract innovation that will create further advancements in various industry verticals and other technologies such as robotics and virtual reality.

In addition, these technologies are destined to become an integral component of business operations including supply chains, sales, and marketing processes, product and service delivery and support models. There will be a positive feedback loop created and sustained by leveraging the interdependent capabilities of AI, IoT, and 5G (e.g. a term coined as AIoT5G). For example, AI will work in conjunction with IoT to substantially improve smart city supply chains. Metropolitan area supply chains represent complex systems of organizations, people, activities, information, and resources involved in moving a product or service from supplier to customer.

Smart cities in particular represent a huge market for Asia Pac digital transformation through a combination of solutions deployed urban environments that are poised to transform the administration and support of living and working environments. Accordingly, Information and Communications Technologies (ICT) are transforming at a rapid rate, driven by urbanization, industrialization of emerging economies, and the specific needs of various smart city initiatives. Smart city development is emerging as a focal point for growth drivers in several key ICT areas including 5G, AI, IoT, and the convergence of AI and IoT known as the Artificial Intelligence of Things or simply AIoT.

Sustainable smart city technology deployments depend upon careful planning and execution as well as monitoring and adjustments as necessary. For example, feature/functionality must be blended to work efficiently across many different industry verticals as smart city address the needs of disparate market segments with multiple overlapping and sometimes mutually exclusive requirements. This will stimulate the need for both cross-industry coordination as well as orchestration of many different capabilities across several important technologies.

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Asia-Pacific Digital Transformation Markets 2019-2024: Focus on 5G, Artificial Intelligence, Internet of Things, and Smart Cities -...

A practical guide with guest presenters and case studies from Microsoft and Sonos.

It is not enough to simply claim to be customer obsessed. In a climate where a moment of inconvenience could be enough to push customers to switch to your competitor, brands have no choice but to deliver what customers want. To do this with accuracy, brands need to consistently plug themselves into various sources of customer feedback.

But the reality is 91 per cent customer feedback is not properly used today, with many businesses overwhelmed by the task of processing the high volumes of insights and the soaring costs when deployed at scale.

This webinar, featuring case studies from the likes of Microsoft and Sonos, is a step-by-step guide on what it takes to drive value from unstructured CX feedback, providing insights on the set-up needed to allow text analytics to thrive.

Attend this webinar for practical insights to apply in your business on:

Frank Buckler, PhD., CX Pioneer, Book Author, Keynote Speaker and Founder & CEO Success Drivers

Rajul Jain, PhD., Senior Research ManagerMicrosoft

David Feick, PhD,Former Head of Customer InsightsSonos

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Triple your CX impact with artificial intelligence and these five tactics - CXNetwork

Westport, CT, Dec. 03, 2019 (GLOBE NEWSWIRE) --

The Company partners with Reified Capital, a provider of advanced artificial intelligence-focused technical advisory services to the private sector

Collaboration to focus on machine learning and artificial intelligence solutions for healthcare

Initial solutions to be centered on BioSigs core competencies in electrophysiology

BioSig Technologies, Inc. (NASDAQ: BSGM) (BioSig or the Company), a medical technology company developing a proprietary biomedical signal processing platform designed to improve signal fidelity and uncover the full range of ECG and intra-cardiac signals, today announced that the Company entered into a technical collaboration with Reified Capital, a provider of advanced artificial intelligence-focused technical advisory services to the private sector. Reified was co-founded by Dr. Alexander D. Wissner-Gross and Timothy M. Sullivan, the founders of Gemedy.

The new collaboration with Cambridge, Massachusetts-based Reified will focus on developing a foundational artificial intelligence platform on the basis of integrated healthcare datasets, beginning with ECG and EEG data acquired by BioSigs first product, PURE EP(tm) System - a novel real-time signal processing platform engineered to provide electrophysiologists with high fidelity cardiac signals. Electrophysiology focused technological solutions developed under the terms of this collaboration will be integrated into the PURE EP(tm) technology platform. Reified is led by Harvard- and MIT-trained computer scientist and physicist Dr. Wissner-Gross, an award-winning computer scientist, physicist, entrepreneur and author. Technical expertise that the Reified team is planning to bring to the project includes data analysis, algorithmic modeling and development.

Integration of AI can open new avenues for improved diagnosis and more effective therapy delivery for bioelectronic medicine in particular and healthcare in general. We are thrilled to partner with Alex and his outstanding team, and look forward to working with them on developing world-class artificial intelligence and machine learning solutions, which, we believe, will benefit a worldwide physician audience, commented Kenneth L Londoner, Chairman and CEO of BioSig Technologies, Inc.

The application of modern AI and machine learning techniques to electrophysiology presents one of the most promising healthcare opportunities of our time, said Dr. Wissner-Gross. We look forward to our forthcoming collaboration with BioSig Technologies.

On November 21, 2019 the Company announced that it commenced patient enrollment in its first clinical trial for the PURE EP(tm) System.

About Reified CapitalReified Capital, LLC is a provider of advanced artificial intelligence-focused technical advisory services to the private sector. Reifieds areas of expertise include machine learning, data analysis, modeling and simulation, cybersecurity, knowledge management, cyber-physical systems, and autonomous systems.

About BioSig TechnologiesBioSig Technologies is a medical technology company developing a proprietary biomedical signal processing platform designed to improve the electrophysiology (EP) marketplace (www.biosig.com). Led by a proven management team and a veteran Board of Directors, BioSig Technologies is preparing to commercialize its PURE EP(tm) System. The technology has been developed to address an unmet need in a large and growing market.The Companys first product, PURE EP(tm) System is a computerized system intended for acquiring, digitizing, amplifying, filtering, measuring and calculating, displaying, recording and storing of electrocardiographic and intracardiac signals for patients undergoing electrophysiology (EP) procedures in an EP laboratory. The system is indicated for use under the supervision of licensed healthcare practitioners who are responsible for interpreting the data. This novel cardiac signal acquisition and display system is engineered to assist electrophysiologists in clinical decision-making during electrophysiology procedures in patients with abnormal heart rates and rhythms. BioSigs ultimate goal is to deliver technology to improve upon catheter ablation treatments for the prevalent and potentially deadly arrhythmias, Atrial Fibrillation and Ventricular Tachycardia. BioSig has partnered with Minnetronix on technology development and received FDA 510(k) clearance for the PURE EP(tm) System in August 2018.

Forward-looking Statements This press release contains forward-looking statements. Such statements may be preceded by the words intends, may, will, plans, expects, anticipates, projects, predicts, estimates, aims, believes, hopes, potential or similar words. Forward- looking statements are not guarantees of future performance, are based on certain assumptions and are subject to various known and unknown risks and uncertainties, many of which are beyond the Companys control, and cannot be predicted or quantified and consequently, actual results may differ materially from those expressed or implied by such forward-looking statements. Such risks and uncertainties include, without limitation, risks and uncertainties associated with (i) our inability to manufacture our products and product candidates on a commercial scale on our own, or in collaboration with third parties; (ii) difficulties in obtaining financing on commercially reasonable terms; (iii) changes in the size and nature of our competition; (iv) loss of one or more key executives or scientists; and (v) difficulties in securing regulatory approval to market our products and product candidates. More detailed information about the Company and the risk factors that may affect the realization of forward-looking statements is set forth in the Companys filings with the Securities and Exchange Commission (SEC), including the Companys Annual Report on Form 10-K and its Quarterly Reports on Form 10-Q. Investors and security holders are urged to read these documents free of charge on the SECs website at http://www.sec.gov. The Company assumes no obligation to publicly update or revise its forward-looking statements as a result of new information, future events or otherwise.

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BioSig Technologies Announces New Collaboration on Development of Artificial Intelligence Solutions in Healthcare - GlobeNewswire

Machines are only set to get smarter as more applications of AI come to light. Research around AI has grown by seven-fold since 1996, according to a study by Tata Consultancy Services (TCS). Yet, India lags far behind.

We have one of the best technology talent pools in the world. If we fast-track and balance our progress on innovation, IP management, and entrepreneurship, we can realize the potential to become a global AI powerhouse, said Santosh Mohanty, the Global Head for Components Engineering Group at TCS.

It's hardly surprising since out of 22,000 PhD researchers around the world, only 386 are from India, according to the Global AI Talent Report 2018.

Lacking in laws

Until 2002, computer-related inventions were deemed ineligible for patents. Even though that has now changed, the existing laws pose their own challenges like being too ambiguous and vague.

For instance, an algorithm can't be patented until it has a practical application or use case even if it's solving a problem behind the scenes.

All of them, except for IBM, are focused on computer vision a form of machine perception that used deep learning to identify objects, videos, and images. IBM, on the other hand, is focused on natural language processing like chatbots.

Alphabet, Google's parent company, is second only to the Chinese tech giant Baidu in owning portfolios of patents related to deep learning.

See also:India is all set to deploy facial recognition but there is no law in place to keep a check

Here's what global tech CEOs have to say about India's data protection laws

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India wants to be on the cusp of artificial intelligence but lacks the laws to back it up - Business Insider India