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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

The 2019 defense authorization act directed the Secretary of Defense to produce a definition of artificial intelligence (AI) by August 13, 2019 to help guide law and policy. But that was not done.

Thereforeno official U.S. government definition of AI yet exists, the Congressional Research Service observed ina newly updated reporton the subject.

But plenty of other unofficial and sometimes inconsistent definitions do exist. And in any case, CRS noted, AI research is underway in the fields of intelligence collection and analysis, logistics, cyber operations, information operations, command and control, and in a variety of semiautonomous and autonomous vehicles. Already, AI has been incorporated into military operations in Iraq and Syria.

The Central Intelligence Agency alone has around 140 projects in development that leverage AI in some capacity to accomplish tasks such as image recognition and predictive analytics. CRS surveys the field inArtificial Intelligence and National Security, updated November 21, 2019.

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The 2018 financial audit of the Department of Defense, which was the first such audit ever, cost a stunning $413 million to perform. Its findings were assessed by CRS in another new report. SeeDepartment of Defense First Agency-wide Financial Audit (FY2018): Background and Issues for Congress, November 27, 2019.

* * *

The Arctic region is increasingly important as a focus of security, environmental and economic concern. So it is counterintuitive and likely counterproductive that the position of U.S. Special Representative for the Arctichas been left vacant since January 2017. In practice it has beeneffectively eliminatedby the Trump Administration. SeeChanges in the Arctic: Background and Issues for Congress, updated November 27, 2019.

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Other noteworthy new and updated CRS reports include the following (which are also available through the CRS public website atcrsreports.congress.gov).

Resolutions to Censure the President: Procedure and History, updated November 20, 2019

Immigration: Recent Apprehension Trends at the U.S. Southwest Border, November 19, 2019

Air Force B-21 Raider Long Range Strike Bomber, updated November 13, 2019

Precision-Guided Munitions: Background and Issues for Congress, November 6, 2019

Space Weather: An Overview of Policy and Select U.S. Government Roles and Responsibilities, November 20, 2019

Intelligence Community Spending: Trends and Issues, updated November 6, 2019

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Artificial Intelligence and National Security, and More from CRS - Secrecy News

Companies planning on using artificial intelligence (AI) in their work should ensure it is transparent and accountable, the Information Commissioners Office (ICO) has said.

The UKs data watchdog has published its first draft regulatory guidance into the use of AI in collaboration with the Alan Turing Institute.

It warned that the public are still uneasy over the use of computer software to make decisions previously made by humans, so any systems must be transparent and provide clear explanations of decisions made.

The guidance identified four key principles for AI: transparency, accountability, consideration of context and reflection on impacts.

The ICO said it had found that more than half of people remain concerned about machines making complex, automated decisions about them.

The potential for AI is huge, but its implementation is often complex, which makes it difficult for people to understand how it works, said Simon McDougall, the ICOs executive director of technology and innovation.

And when people dont understand a technology, it can lead to doubt, uncertainty and mistrust.

Last year, ministers published the AI Sector Deal, a joint venture between the Government and industry to try to push the UK to the forefront of emerging technology such as AI.

The ICO and the Alan Turing Institutes draft guidance comes after an independent review by Professor Dame Wendy Hall and also the Government urged both parties to provide input on the subject.

The guidance said the four main principles are rooted in the General Data Protection Regulations (GDPR), EU-wide laws introduced last year to hand greater control over personal data to individuals.

The principles say organisations should ensure decisions made by AI are obvious and appropriately explained to people in a meaningful way.

On accountability, it says firms should ensure appropriate oversight of AI decision systems, and be answerable to others.

It also called for companies to reflect on the impact their AI use would have by ensuring they ask and answer questions about the ethical purposes and objectives of your AI project at the initial stages of formulating the problem and defining the outcome.

The ICO said it will consult on its guidance until January 24, and Mr McDougall encouraged industry experts to respond to its draft before then.

The decisions made using AI need to be properly understood by the people they impact, he said.

This is no easy feat and involves navigating the ethical and legal pitfalls around the decision-making process built in to AI systems.

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Artificial intelligence use 'must be transparent and accountable' - The Irish News

Its impossible to ignore the fact that advances in artificial intelligence (AI) is changing how we do our current jobs. But what has captured even more interest is how the increasing capability of this technology will affect future jobs.

In trying to determine the specific effects on which jobs and which sectors, many studies have been undertaking but its hard to capture this information.

To add further research to this topic theBrookings Institutionissued a reporton Nov. 20, presenting a new method of analyzing this issue.

By employing a novel technique developed by Stanford University Ph.D. candidate Michael Webb, the new report establishes jobexposure levelsby analyzing the overlap between AI-related patents and job descriptions, the report said. In this way, the research homes in on the impacts of AI specifically and does it by studying empirical statistical associations as opposed to expert forecasting.

The technique Webb used was able to quantify the overlap between thetext of AI patents and the text of job descriptions that can identify the kinds of tasks and occupations likely to be affected by particular AI capabilities.

We find that Webbs AI measures depict a very different range of impacts on the workforce than those from robotics and software. Where the robotics and software that dominate the automation field seem to mostly to involve routine or rule-based, tasks and thus lower-or-middle pay roles, AIs distinctive capabilities suggest that high-wage occupations will be some of the most exposed, the report noted.

Using patents are useful here because they provide timely predictions of the commercial relevance of specific technological applications. Occupational descriptions are also useful because they provide detailed insight into economic activities at the scale of the whole economy."

Findings

Based on these conclusions the report says that we have a lot to learn about AI, and that these are extremely early days in our inquiries.Whats coming may not resemble what we have experienced or expect to experience.

Society should get ready for a very different pattern of impact than those that accompaniedthe broad adoption of robotics and software. While the last waves of automation led to increases of inequity and wage polarization, its not clear that AI will have the same effects.

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What Jobs Will Artificial Intelligence Affect? - EHS Today