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Artificial Intelligence ABCs: What Is It and What Does it Do? – JD Supra

Artificial intelligence is one of the hottest buzzwords in legal technology today, but many people still dont fully understand what it is and how it can impact their day-to-day legal work.

According to Brookings Institution, artificial intelligence generally refers to machines that respond to stimulation consistent with traditional responses from humans, given the human capacity for contemplation, judgment, and intention. In other words, artificial intelligence is technology capable of making decisions that generally require a human level of expertise. It helps people anticipate problems or deal with issues as they come up. (For example, heres how artificial intelligence greatly improves contract review.)

Recently, we sat down with Onits Vice President of Product Management, technology expert and patent holder Eric Robertson to cover the ins and outs of artificial intelligence in more detail. In this first installment of our new blog series, well discuss what it is and its three main hallmarks.

At the core of artificial intelligence and machine learning are algorithms, or sequences of instructions that solve specific problems. In machine learning, the learning algorithms create the rules for the software, instead of computer programmers inputting them, as is the case with more traditional forms of technology. Artificial intelligence can learn from new data without additional step-by-step instructions.

This independence is crucial to our ability to use computers for new, more complex tasks that exceed the manual programming limitations things like photo recognition apps for the visually impaired or translating pictures into speech. Even things we now take for granted, like Alexa and Siri, are prime examples of artificial intelligence technology that once seemed impossible. We already encounter in our day-to-day lives in numerous ways and that influence will continue to grow.

The excitement about this quickly evolving technology is understandable, mainly due to its impacts on data availability, computing power and innovation. The billions of devices connected to the internet generate large amounts of data and lower the cost of mass data storage. Machine learning can use all this data to train learning algorithms and accelerate the development of new rules for performing increasingly complex tasks. Furthermore, we can now process enormous amounts of data around machine learning. All of this is driving innovation, which has recently become a rallying cry among savvy legal departments worldwide.

Once you understand the basics of artificial intelligence, its also helpful to be familiar with the different types of learning that make it up.

The first is supervised learning, where a learning algorithm is given labeled data in order to generate a desired output. For example, if the software is given a picture of dogs labeled dogs, the algorithm will identify rules to classify pictures of dogs in the future.

The second is unsupervised learning, where the data input is unlabeled and the algorithm is asked to identify patterns on its own. A typical instance of unsupervised learning is when the algorithm behind an eCommerce site identifies similar items often bought by a consumer.

Finally, theres the scenario where the algorithm interacts with a dynamic environment that provides both positive feedback (rewards) and negative feedback. An example of this would be a self-driving car where, if the driver stays within the lane, the software will receive points in order to reinforce that learning and reminders to stay in that lane.

Even after understanding the basic elements and learning models of artificial intelligence, the question often arises as to what the real essence of artificial intelligence is. The Brookings Institution boils the answer down to three main qualities:

In the next installment of our blog series, well discuss the benefits AI is already bringing to legal departments. We hope youll join us.

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Artificial Intelligence ABCs: What Is It and What Does it Do? - JD Supra

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Be Ready As Europe Is All Set to Win the Artificial Intelligence Race – Analytics Insight

The United States received huge rewards from the last influx of benefits development, getting home to a portion of the worlds best tech organizations, for example, Amazon, Apple, Facebook, Google, Intel, and Microsoft. Then, numerous parts of the world, including the European Union, paid an economic price remaining uninvolved. Perceiving that missing the next wave of developmentfor this situation, AIwould be comparatively dangerous, numerous countries are making a move to guarantee they play a large role in the next digital transformation of the global economy.

As of now, the worlds digital goliaths, for example, Amazon, Facebook, Google, Intel, Microsoft, and Alibabaoverwhelm Europes AI landscape without offering a lot, assuming any, financial advantage for European nations and organizations. Without local rivalry, they can work without making significant investments locally, without making occupations on the continent, and frequently without paying much tax. At the point when European nations push back, it leads to cross-border tensions.

Until now, the EU has requested little from the digital giants besides essential compliance with data-protection laws, platform business rules, and other related guidelines. In any case, the EU is progressively awakening to the fact that it is one of the worlds greatest digital markets, appreciates significant negotiating power, and that it should utilize this power for its benefits

Albeit multilateral negotiations will proceed, the EU appears liable to take one-sided measures to guarantee a level battleground. The EUs policy climate has changed an incredible arrangement lately, with the presentation of the General Data Protection Regulation (GDPR) and rulings against digital giants, for example, Facebook and Google. A few different changes are in the pipeline, including the recently unveiled data strategy by the European Commission. The EUs mentality is progressively isolated, with policymakers calling for EU digital sovereignty and respect for EU values for AI.

The AI startups in Europe are far greater in number than youd most likely give them acknowledgment for. While Europe isnt popular for startups, the numbers are very reassuring. Of the 2,451 AI new companies that Statista reports as of 2018, 675 have a place with European nations (the UK alone has 245).

Digital goliaths need to perceive the essential opportunity introduced by the EU. Its not just about size or buying power; the EU is quite possibly the most refined and differentiated AI markets, particularly for industrial applications. The EU gives opportunities to create and train algorithms for a few enterprises, and it will be outlandish for any digital giant to guarantee it has a worldwide contribution if it doesnt have access to European business markets, information, and Europe-trained AI applications. Besides, by supporting the EUs huge talent pools, IT organizations can supercharge their AI teams.

Europe doesnt need to fight each and every AI conflict to win the war. There are regions where Europe could be facing a losing conflict as well.

Yet, there are plenty of fronts on which top AI organizations in Europe may handily be clear victors. It, for example, as of now has an edge in B2B and industrial robotics. That, and a pan-Europe network of AI-based advancement hubs could be more than what China or the USA might deal with.

AI4EU is an on-demand AI platform. It pools together 80 partners across 21 nations. Subsidized with Euro 20 million, AI4EU is a project that will run for a very long time. Its activities will zero in on the utilization of AI for healthcare, agriculture, robotics, and IoT, in addition to other things. Artificial intelligence in healthcare in Europe is quite promising, and when worked with farming, it could change various things.

Essentially, it looks to make the advantages of AU available to all. Todays AI guidelines will play a significant role in molding the EUs business environment of tomorrow. Just consenting to regulations wont set up the digital giants for success; picking up the upper hand requires understanding Europes nuances and assisting with shaping future regulations. Besides, numerous global organizations have just applied the EUs GDPR prerequisites to their overall tasks, strengthening the requirement for the digital giants to acquire a seat at the table in Brussels, where future policies will be fashioned.

In certain regions, nonetheless, the competition to create or embrace AI is definitely not a lose-lose situation. Improvements of AI science, especially at colleges, can and do spread all through the world, consequently helping the whole AI ecosystem. Also, numerous AI headways, especially those focussed on the environment, health, and education can profit all nations. For instance, the advancement of AI frameworks that can discover diseases quicker and more precisely than clinicians, or produce new medical treatments, offers conceivably worldwide advantages.

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AI: The Future of Farming is Happening Today – Southeast AgNet

UF photo shows Assistant Professor Yiannis Ampatzidis.

What was once the future of farming is happening today at the University of Florida/IFAS.

Scott Angle, Vice President for Agriculture and Natural Resources, explains how UF/IFAS is using artificial intelligence (AI) to help producers be more efficient in their farming operations.

Its a fascinating issue right now. The University of Florida wants to move into the top 5 for public universities. Theyre ranked sixth right now. They believe that artificial intelligence (AI) will be the tool to do that, as well as, Florida seems to be a great place to become the center of the world for artificial intelligence, Angle said.

According to the UF/IFAS blog, artificial intelligence is the ability of a computer system to recognize patterns, understand language, learn from experience, solve problems and perform complex tasks. Its also described as the ability of a machine to think like a human but do it faster and more efficiently.

For farmers who care about every plant and tend to every animal on their farms, AI allows growers to compute millions of variables and coordinate vast amounts of data instantly and accurately.

Particularly in Florida, where there are many opportunities for artificial intelligence to replace labor and to scout out plant diseases, weed infestations, better weather predictions; these are all things AI can do, Angle said.

Agriculture, unfortunately, but now it becomes an opportunity, is behind the curve on artificial intelligence. Its a technology thats moving very quickly. We want to make sure that IFAS and the University of Florida is that organization that begins to move AI into agriculture much more quickly than it has been.

In the Animal Sciences Department, Albert De Vries team uses AI to get more accurate profiles of individual cattle, measuring their phenotypes to aid in breeding and using their genetic makeup to improve feeding efficiency.

In citrus, Yiannis Ampatzidis and his research team use AI-based software to analyze and visualize data collected from unmanned aerial vehicles (UAVs). UAVs can take images of thousands of plants and upload to software that analyzes the data to access plant qualities, quantities and growth factors.

In peanuts, Diane Rowland, Agronomy Department Chair, has developed a method using hyperspectral imaging and AI to determine peanut seed quality through the hull. This allows peanut producers to select mature seeds with greater accuracy and less expenditure of time and labor.

In weed research, scientist Nathan Boyd and precision agriculture specialist Arnold Schumann utilize AI to identify weeds in the field and distinguish them from crops. This allows herbicides to be applied only to the weeds, resulting in less spray damaged plants and reduced pesticide use.

Weve got people already working on things like, how do count citrus trees in a grove? Or how do you scout for new diseases that have just entered a field and may not be obvious from the roadside. Weve got lots of people working on this. Theres just so many opportunities that we feel its almost unlimited at this point, Angle said.

Theres dozens or hundreds of areas where artificial intelligence can play a role; all the way from Extension in providing more accurate information to weather forecasting to disease scouting; things that are often done through very laborious and sometimes not very accurate processes. Artificial intelligence and having the computer to do that takes away a lot of that uncertainty. It could just make us all better farmers.

To learn more, visit the UF/IFAS AI website.

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SAS acquires UK firm is bid to accelerate artificial intelligence in cloud efforts – WRAL Tech Wire

CARY Looking to speed up artificial intelligence incorporation into data analytics and cloud computing as well asdevices such as wearables, SAS on Thursday disclosed the acquisition of UK-based Boemska.

The company already works with SAS, specializing in low-code/no-code application deployment and analytic workload management for the SAS technology platform, SAS noted. Boemska isa well-established SAS technology partner whose global customers include SAS customers in financial services, health care and travel, SAS added.

Financial terms were not disclosed.

The news came on the same day that SAS announced the promotion of veteran executive Bryan Harris to chief technology officer.

SAS promotes current executive to Chief Technology Officer

SAS is on a journey to enable AI and analytics for everyone, everywhere, Harris said in a statement about the acquisition.We have not only transformed the way in which we build and deliver software with recent SAS Viya updates and a cloud partnership with Microsoft, but also the speed and manner with which customers can achieve value. SAS is recognized as a leading provider of analytics for enterpriseapplications. Boemskas technology puts SAS closer to where decisions are made, and available in cloud marketplaces for applications developers.

Boemska has an R&D center in Serbia.

SAS noted two major technology strengths that the deal adds to its portfolio:

A next-generation, cloud-native capability enabling portability of SAS and open-source models into mobileand enterprise applications. This enables development and execution of models and decisions using lowcode and no-code technologies for performing specific tasks such as anticipating fraud, decision makingrelated to a medical event, identifying a manufacturing defect and more. An enterprise workload management tool that facilitates migration of scale-out analytics to the cloud in acost-efficient way while ensuring that analytic workloads on clouds such as Microsoft Azure remain rightsized and always optimized. This brings unparalleled visibility to SAS workloads running on shared multiuser environments and empowers customers to confidently execute their cloud migration strategy.

Were excited to join the SAS family and help shift customers to the cloud in a cost-effective yet powerful manner, said Nikola Markovic, Boemska Chief Technology Officer, in a statement. We look forward to collaboratively delivering a portable, small-footprint runtime for analytics and models while improving the ability to migrate to the cloud.

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What does Integration of Artificial Intelligence and Advanced Analytics mean in Business? – Analytics Insight

What does Integration of Artificial Intelligence and Advanced Analytics mean in Business?

Disruptive technologies like artificial intelligence (AI) and advanced analytics have had a transformational impact on the finance industry. They are also changing the way enterprises interact with their clients and run their organizations. The emergence and rapid growth of these technologies helped companies enhance their processes and operations.

While data analytics refers to drawing insights from raw data, advanced analytics help collate previously untapped data sources, especially the unstructured data and data from the intelligent edge, to garner analytical insights. Meanwhile, artificial intelligence replicates behaviors that are generally associated with human intelligence. These include learning, reasoning, problem-solving, planning, perception, and manipulation. Some latest iterations of AI, like generative AI, can also create creative artwork, music, and more. Though these technologies sound diverse, their synergy would bring tremendous innovation across several industries. When powered by AI, advanced analytics algorithms can offer additional performance over other analytics techniques.

World Economic Forum states that the COVID-19 crisis provided a chance for advanced analytics and AI-based techniques to augment decision-making among business leaders too.

In a study conducted by Forrester Consulting on behalf of Intel, 98% of respondents believe that analytics is crucial to driving business priorities. Yet, fewer than 40% of workloads are leveraging advanced analytics or artificial intelligence. For instance, according to Deloitte Insights, only 70% of all financial services firms use machine learning to predict cash flow events, fine-tune credit scores, and detect fraud.

Advanced analytics and artificial intelligence are emerging favorites in the finance sector as they help firms authenticate customers, improve customer experience, and reduce the cost of maintaining acceptable levels of fraud risk, particularly in digital channels.As finance firms race inch to disruption, the velocity of fraud attacks and threats also increases. The amalgamation of these technologies helps mitigate such threats before there is any severe damage, thus increasing compliance. This is achieved by assessing risks, identifying potential suspicious activities, preventing fraudulent transactions, and more. Since AI powered analytical algorithms are adept at pattern recognition and processing large quantities of data, it is key to improving fraud detection rates. For customers, they can help authenticate any financial services they may be using and issue alert the customer if something is wrong.

This fraud detection capability is also helpful for brand marketers to distinguish successful campaigns and avoid wasteful spending. Boston Consulting Group has observed that consumer packaged goods (CPG) companies can boost more than 10% of their revenue growth through enhanced predictive demand forecasting, relevant local assortments, personalized consumer services, and experiences, optimized marketing and promotion ROI, and faster innovation cycles; all via the said technologies.

While factors like data silos, fear of missing out on the race to digital transformation and agility have influenced companies to rely on data-driven insights, they must leverage advanced analytics and artificial intelligence, to stay relevant in the market. In its September 2017 article, titledHow Big Consumer Companies Can Fight Back, Boston Consulting Group also mentions that these technologies top industry players can use them to transform their data into valuable insights. In other words, it can augment an enterprises ability to execute data-intensive workloads and, at the same time, keep the HPC environment adaptable, responsive, and cost-effective.

However, there are many difficulties faced by companies when adopting them too. As per a research survey by Ericsson IndustryLab, 91% of organizations surveyed reported facing problems in each of three categories of challenges studied, including technology, organizational, and company culture and people. It is true that artificial intelligence and advanced analytics tools allowed navigation and the re-imagining of all aspects of business operations, and the COVID-19 pandemic expedited their adoption. However, despite beingarguably the most powerful general-purpose technologies, companies must recognize potential, use cases, and strategize the right action plans to accelerate their artificial intelligence and advanced analytics undertakings.

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Ehave, Inc. Partners with Cognitive Apps to Add Artificial Intelligence-Powered Mental Health Analytical Platform for Psychedelic Use in G20 Countries…

MIAMI, Jan. 07, 2021 (GLOBE NEWSWIRE) -- Ehave, Inc. (OTC Pink: EHVVF) (the Company), a leader in digital therapeutics, announced today the Company has signed a partnership agreement with Cognitive Apps Software Solutions Inc. (Cognitive Apps) https://cogapps.com/index.html for its Artificial Intelligence- (AI) based Workforce Mental Health Analytical Platform. The terms of the agreement provide Ehave with the rights to exclusively offer the Cognitive Solutions platform to all psychedelic applications and endeavors in the G20 countries.

Ehave will offer psychedelic companies the AI-based platform as a means of providing actionable insights into the workforce dynamics and mental health of its employees and patients. The platform provides instant, data-driven and actionable insight into the workforce dynamics and mental health of employees and patients. The tool is in the form of an app, which was designed by an MD and PhD-qualified psychiatrist using diagnostic techniques approved by the American Psychiatric Association and the World Health Organization. The app is an AI-controlled mental health monitoring tool based on voice tone and context analysis of an employee or patient's 5-second audio or text messages daily to analyze his or her tone and emotional state. The platform is based on Apple HealthKit and GoogleFit for data processing and background mental health monitoring, considering factors like physical activity, surrounding noise, work-life balance and sleep. Employee data is not stored but instantly deleted after the analysis and all storage and data solutions are HIPAA and GDPR-compliant.

Todays healthcare providers need to find new ways to connect with their patients and improve processes across the continuum of care. Having access to a complete patient history pulled from multiple sources is the first step on the journey to better communication, higher productivity and improved patient outcomes. The Workforce Mental Health Analytical Platform designed by Cognitive Apps addresses this problem for mental health disorders in both hospitals and clinics. As a pioneer in psychedelics, Ehave intends to distribute and deploy this advanced speech-based AI technology in all the G20 countries. By providing this disruptive technology to clinical researchers, academic researchers, clinical surveys, retract clinics, and various mental health clinics, the Company plans to set a new standard for both research and clinical settings in the psychedelic space.

Cognitive Apps has filed an FDA pre-market notification 510 (k) process to make this solution a part of clinical workflow in modern mental health care facilities across the world. https://www.fda.gov/medical-devices/premarket-submissions/premarket-notification-510k. A technical study done by MIT and Harvard Medical School on speech-based AI technology to diagnose mental health disorders can be found here https://onlinelibrary.wiley.com/doi/full/10.1002/lio2.354. Additionally, a link to a study done by the American Psychological Association can be found here https://psycnet.apa.org/buy/1999-03346-006.

Dr. Manideep Gopishetty, CEO of Cognitive Apps Software Solutions Inc., said, "Information and technology is the lifeblood of modern medicine, and our technology is destined to be the circulatory system of information." Dr. Reddy continued, We chose to partner with Ehave because we want to disrupt the way data is captured and measured for various mental health disorders in modern healthcare.

Ehave CEO Ben Kaplan said, Shareholders and potential investors are encouraged to do a deep dive into the capabilities of what Cognitive Apps' platform can accomplish. Employers will be able to determine if any employee or patient is near the red zonestress, exhaustion or increased risk of depression. Our goal is to help mental healthcare professionals and individuals stop life-threatening behavior before it happens."

The Yuru stress test & self-care app by Cognitive Apps Software Solutions Inc. is available on the Apple Store at https://apps.apple.com/us/app/yuru-stress-test-self-care/id1502398978.

Additional Ehave Inc. Information

We are truly grateful for the support of EHVVF shareholders! Please join the conversation on our Ehave supporters' telegram group at https://t.me/EhaveInc.

The company posts important information and updates through weekly videos from the official company YouTube channel https://www.youtube.com/channel/UCnyW1mgMd0qmYkEMq3O6FWA.

Please follow Ehave on Twitter @Ehaveinc1

About Ehave, Inc.

Ehave, Inc. (EHVVF) is a leader in digital therapeutics and developer of KetaDASH, a home delivery platform for patients who have been prescribed Ketamine infusions. Our primary focus is on improving the standard care in therapeutics to prevent or treat brain disorders or diseases through the use of digital therapeutics, independently or together, with medications, devices, and other therapies to optimize patient care and health outcomes. The Ehave Telemetry Portal is a mental health informatics platform that allows clinicians to make objective and intelligent decisions through data insights. The Ehave Infinity Portal offers a powerful machine learning and artificial intelligence platform with a growing set of advanced tools and applications developed by Ehave and its leading partners. This empowers patients, healthcare providers, and payers to address a wide range of conditions through high quality, safe, and effective data-driven involvement with intelligent and accessible tools. Ehave also owns 75.77% of psychedelic company 20/20 Globals outstanding shares. Additional information on Ehave can be found on the Companys website at: http://www.ehave.com.

About Cognitive Apps Software Solutions Inc.

Mental health disorders and other cognitive impairments are hampered by our ability to identify at-risk groups before the onset of clinically significant symptoms. Cognitive apps are addressing this problem by pioneering a speech-based AI technology that could help accurately predict risk for various types of depressions and mood, anxiety-based and psychotic disorders years before a clinical diagnosis is obtained. Our technology can help detect and monitor subtle changes in mental health by assessing individuals more frequently and more objectively than the assessments used today. https://cogapps.com/index.html

Forward-Looking Statement Disclaimer

This press release contains forward-looking statements within the meaning of the Private Securities Litigation Reform Act of 1995. 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 based on certain assumptions and are subject to various known and unknown risks and uncertainties, many of which are beyond the Company's control, and cannot be predicted or quantified and consequently, actual results may differ materially from those expressed or implied by such forward-looking statements: (i) the initiation, timing, progress and results of the Companys research, manufacturing and other development efforts; (ii) the Companys ability to advance its products to successfully complete development and commercialization; (iii) the manufacturing, development, commercialization, and market acceptance of the Companys products; (iv) the lack of sufficient funding to finance the product development and business operations; (v) competitive companies and technologies within the Companys industry and introduction of competing products; (vi) the Companys ability to establish and maintain corporate collaborations; (vii) loss of key management personnel; (viii) the scope of protection the Company is able to establish and maintain for intellectual property rights covering its products and its ability to operate its business without infringing the intellectual property rights of others; (ix) potential failure to comply with applicable health information privacy and security laws and other state and federal privacy and security laws; and (x) the difficulty of predicting actions of the USA FDA and its regulations. All forward-looking statements included in this press release are made only as of the date of this press release. The Company assumes no obligation to update any written or oral forward-looking statement unless required by law. More detailed information about the Company and the risk factors that may affect the realization of forward-looking statements is contained under the heading "Risk Factors" in Ehave, Inc.s Registration Statement on Form F-1 filed with the Securities and Exchange Commission (SEC) on September 24, 2015, as amended, which is available on the SEC's website, http://www.sec.gov.

For Investor Relations, please contact:

Gabe Rodriguez

Phone: (623) 261-9046

Email: erelationsgroup@gmail.com

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WPD Pharmaceuticals to Collaborate With IAG to Deploy Artificial Intelligence and Quantitative Imaging to Assess the Effects of Berubicin -…

VANCOUVER, British Columbia, Jan. 06, 2021 (GLOBE NEWSWIRE) -- WPD Pharmaceuticals Inc. (CSE: WBIO)(FSE: 8SV1) (the Company or WPD) a clinical-stage pharmaceutical company, is pleased to announce that it has engaged Image Analysis Group (IAG), a leading medical imaging company, to provide important critical imaging services during the Berubicin phase 2 clinical trials which are scheduled to start in February 2021.

IAG has deep expertise in partnering with global biotech companies to provide centralized reading and analysis of patient responses in real time. IAGs scientific and clinical imaging expertise in the field ofglioblastomamultiforme (GBM), coupled with IAGs proprietary Artificial Intelligence (AI) powered platform DYNAMIKA will allow WPD and its partners to review efficacy assessments, objective responses, and to thoroughly explore Berubicins effect in patients with GBM.

Advanced cancer therapies often lead to pseudo-progression, a local tissue reaction resulting from immune cell infiltration, causing inflammation, tumor necrosis and oedema which are often misinterpreted as tumor growth on traditional MRIs. Under the arrangement, IAG will utilize its advanced AI-driven methodologies that provide reliable early efficacy readouts. Pseudo-progression is difficult to distinguish from disease progression using routine clinical MRI assessments, and having IAGs advanced technology will be crucial for early detection and progression.

Mariusz Olejniczak, CEO of WPD commented, We are very pleased to partner with IAG to collaborate on the upcoming Berubicin trials and other studies including WPD101, if possible in the future. IAG has a strong track record of working with leading biotech companies to provide critical imaging collection, analysis, and assessment which is a very important part of our Berubicin phase 2 trials. We look forward to working with them leading up to and in preparation of the commencement of these Trials.

Olga Kubassova, CEO of IAG commented, We are pleased that IAGs unique focus on the use of quantitative imaging and AI will help accelerate WPDs development programs while reducing R&D costs, timelines, and uncertainties. This work will support the field of advanced cancer drug development as a whole and provide much needed treatment options to patients with glioblastoma.

Diana Dupont-Roettger, Chief Scientific Alliance Officer of IAG commented, The integration of advanced imaging and AI driven image analysis will prevent a false response assessment in patients experiencing pseudo-progression and thereby enhance the efficacy read out of Berubicin, avoid early patient drop-out and save costs. IAG is excited to collaborate with WPD and to support the clinical development with optimal imaging trial design, efficient imaging data management and response assessment.

About Image Analysis Group

Image Analysis Group (IAG) is a unique clinical development partner to life sciences companies. IAG broadly leverages its proprietary image analysis methodologies, power of our cloud platform DYNAMIKA, years of experience in AI and Machine Learning as well as bespoke co-development business models to ensure higher probability for promising therapeutics to reach the patients. IAGs independent Bio-Partnering division fuses risk-sharing business models and agile culture to accelerate novel drug development.

About WPD Pharmaceuticals

WPD is a biotechnology research and development company with a focus on oncology and virology, namely research and development of medicinal products involving biological compounds and small molecules. WPD has licensed in certain countries 10 novel drug candidates with 4 that are in clinical development stage. These drug candidates were researched at medical institutions, and WPD currently has ongoing collaborations with Wake Forest University and leading hospitals and academic centers in Poland.

WPD has entered into license agreements with Wake Forest University Health Sciences and sublicense agreements with Moleculin Biotech, Inc. and CNS Pharmaceuticals, Inc., respectively, each of which grant WPD an exclusive, royalty-bearing sublicense to certain technologies of the licensor. Such agreements provide WPD with certain research, development, manufacturing and sales rights, among other things. The sublicense territory from CNS Pharmaceuticals and Moleculin Biotech includes for most compounds 30 countries in Europe and Asia, including Russia.

On Behalf of the Board

Mariusz Olejniczak

Mariusz Olejniczak CEO, WDP Pharmaceuticals

Contact:

Investor Relations Email: investors@wpdpharmaceuticals.com Tel: 604-428-7050 Web: http://www.wpdpharmaceuticals.com

Cautionary Statements:

Neither the Canadian Securities Exchange nor the Investment Industry Regulatory Organization of Canada accepts responsibility for the adequacy or accuracy of this release.

This press release contains forward-looking statements. Forward-looking statements are statements that contemplate activities, events or developments that the Company anticipates will or may occur in the future. Forward-looking statements in this press release include that IAGs technology will enhance our analysis of the effects of Berubicin, that we may partner with IAG regarding our other compounds and that WPDs drugs could be developed into novel treatments for cancer. These forward-looking statements reflect the Companys current expectations based on information currently available to management and are subject to a number of risks and uncertainties that may cause outcomes to differ materially from those projected. Factors which may prevent the forward looking statement from being realized is that the IAG technology may not provide the benefits expected and we may not engage them further; competitors or others may successfully challenge a granted patent and the patent could be rendered void; that we are unable to raise sufficient funding for our research; that we may not meet the requirements to receive the grants awarded; that our drugs dont provide positive treatment, or if they do, the side effects are damaging; competitors may develop better or cheaper drugs; and we may be unable to obtain regulatory approval for any drugs we develop. Readers should refer to the risk disclosure included from time-to-time in the documents the Company files on SEDAR, available at http://www.sedar.com. Although the Company believes that the assumptions inherent in these forward-looking statements are reasonable, they are not guarantees of future performance and, accordingly, they should not be relied upon and there can be no assurance that any of them will prove to be accurate. Finally, these forward-looking statements are made as of the date of this press release and the Company assumes no obligation to update them except as required by applicable law.

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Federal AI Efforts Will Be Greatly Boosted by 2021 NDAA – JD Supra

The National Defense Authorization Act for the Fiscal Year 2021 (2021 NDAA)which was passed over a Presidential veto on January 1represents a massive step forward for American AI policy in areas far beyond national defense. It incorporates a number of AI legislative proposals that will reshape the governments approach over the next two years, as part of a broader emphasis on promoting emerging technologies.

Among its many elements, the 2021 NDAA (1) expands National Institute of Standards and Technologys (NIST) AI responsibilities, including directing it to establish a voluntary risk management frameworkin consultation with industrythat will identify and provide standards and best practices for assessing the trustworthiness of AI and mitigating risks from AI systems; (2) launches the National Artificial Intelligence Initiative, setting up a federal bureaucracy designed to deal both with agencies and outside stakeholders, as well as advise on key issue issues of AI implementation like bias and fairness; (3) gives the Department of Defense (DoD) specific authority to procure AI while requiring an assessment meant to promote acquisition of AI that is ethically and responsibly developed.All of these initiatives will have ripple effects on private sector development, testing, and deployment of AI systemsand heavily influence regulatory expectations on issues like AI bias, accuracy, and security.

Below is a high-level summary of these key AI provisions.

NIST Is Required to Development a Risk Management Framework for Use in Implementing AI

The NDAA gives NIST specific direction and deadlines for developing a risk management framework for use of AI and defining measurable standards that can be used within the framework.NIST already has been very active on AI issues, particularly following the 2019 AI Executive Order.The NDAA expands NISTs AI responsibilities through a specific legislative mandate on AI, placing the agency at the center of working through critical issues involving bias, privacy, security, transparency, and even ethics.And while this directive will result in a risk framework that will be voluntary, NISTs work in similar areas like cybersecurity has proven enormously influential to the private sector and has been closely monitored by policymakers.

Specifically, the NDAA amends the National Institute of Standards and Technology Act to give NIST four distinct missions with respect to AI:

Advancing collaborative frameworks, standards, guidelines, and associated methods and techniques for AI;

Supporting the development of a risk-mitigation framework for deploying AI systems;

Supporting the development of technical standards and guidelines that promote trustworthy AI systems; and

Supportingthe development of technical standards and guidelines by which to test for bias in AI training data and applications.

It directs NIST to develop an AI risk management framework within two years.The framework must include standards, guidelines, procedures, and best practices for developing and assessing trustworthy AI and mitigating risks related to AI. NIST also must establish common definitions for elements of trustworthiness, including explainability, transparency, safety, privacy, security, robustness, fairness, bias, ethics, validation, verification, and interpretability.This mandate aligns with NISTs ongoing work regarding trustworthy AI, but importantly, it provides a more definite timeline and specific elements for the framework.It also makes clear that NIST should work to develop common definitions related to range of complex issues like bias and transparencyand even ethics and fairness, which are not usually within NISTs ambitthat could have broader implications if adopted by regulatory bodies concerned with potential adverse effects of AI.

Additionally, the NDAA requires NISTwithin a yearto develop guidance to facilitate the creation of voluntary AI-related data sharing arrangements between industry and government, and to develop best practices for datasets used to train AI systems, including standards for privacy and security of datasets with human characteristics.The guidance around datasets will have particular importance for mitigating bias that can result from AI making use of data that is not representative.

NIST has a long history of collaborating with industry stakeholders on key issues, including cybersecurity and privacy, and its AI work to date has followed this collaborative approach.Indeed, NIST is planning a virtual workshop on Explainable AI later this month.With NISTs newly expanded role, AI stakeholders will have multiple additional opportunities to engage.

The National Artificial Intelligence Initiative Is Launched with a New Bureaucratic Framework.

The NDAA instructs the President to establish the National Artificial Intelligence Initiative and provides a framework for its implementation throughout the federal government.The focus of this Initiative will be to ensure continued U.S. leadership in AI R&D and the development and use of trustworthy artificial intelligence systems; to prepare the U.S. workforce for integration of AI; and to coordinate AI R&D among civilian, defense, and intelligence agencies.

To implement the Initiative, the law establishes a bureaucratic framework for dealing with AI within the government, complementing efforts that previous Administrations have made without a legislative mandate.These include:

The National Artificial Intelligence Initiative Office.This Office will be housed within the White Houses Office of Science and Technology Policy (OSTP) and will serve as an external and internal contact on AI, conduct outreach, and act as agency hub for technology and best practices.

An AI Interagency Committee.The Interagency Committeeto be co-chaired by the Director of the OSTP and, on an annual rotating basis, a representative from the Department of Commerce, the National Science Foundation, or the Department of Energywill coordinate Federal programs and activities in support of the National Artificial Intelligence Initiative.

The National Artificial Intelligence Advisory Committee.This Advisory Committeeto be established by the Department of Commerce in consultation with a slate of other federal stakeholderswill include members with broad and interdisciplinary expertise and perspectives, including from academic institutions, nonprofit and civil society entities, Federal laboratories, and companies across diverse sectors. It will provide recommendations related to, among other things, whether ethical, legal, safety, security, and other appropriate societal issues are adequately addressed by the Initiative, and accountability and legal rights, including matters relating to oversight of AI using regulatory and nonregulatory approaches, the responsibility for any violations of existing laws by an AI system, and ways to balance advancing innovation while protecting individual rights.It also will include a subcommittee on AI in law enforcement that will advise on issues of bias (including use of facial recognition), security, adoptability, and legal standards including privacy, civil rights, and disability rights.

This Initiative also presents an opportunity for private sector engagement.The Initiatives many priorities include coordinating R&D and standards engagement and providing outreach to diverse stakeholders, including citizen groups, industry, and civil rights and disability rights organizations.In particular, the National Artificial Intelligence Advisory Committee is required to include industry representatives as it makes recommendations on key issues including AI oversight by the government.

DoD Is Directed to Assess Its Ability to Acquire Ethically and Responsibly Developed AI Technology.

The NDAA provides the Department of Defenses (DoD) Joint Artificial Intelligence Center (JAIC) with authority to acquire AI technologies in support of defense missions.Additionally, it puts into place procedures to ensure that DoD acquires AI that is ethically and responsibly developed and that it effectively implements ethical AI standards in acquisition processes and supply chains.

Specifically, the NDAA requires the Secretary of Defense to conduct an assessment to, among other things, determine whether DoD has the ability, resources, and expertise to ensure that the AI it acquires is ethically and responsibly developed.The assessment must be completed within 180 days, and following that, the Secretary must brief the Congressional committees as to the results.

These provisions will impact DoD procurement and contractors, and given the size and scope of the Defense acquisition budget, will also likely impact private sector development of AI to meet ethical and responsible standards.

***

AI technology has been an area of increased focus of the federal government in the past several years, most notably following 2019 and 2020 AI Executive Orders.The new efforts launched by the 2021 NDAA add to existing work and make clear that AI will be a continued focus of federal government activity.

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Artificial Intelligence: Growth and Development in India – Analytics Insight

In order to solve social problems, Indian start-ups are growing and developing AI solutions in education, health, financial services, and other fields.

Artificial Intelligence (AI) is bringing a dramatic shift in the world of technology where it can be applied for more productivity and success in order to simplify the system. From just your cell phone to the diagnosis of diseases, AI is now being used in many fields, offering high-performance and precise device operation with quality. In every area and not just technology, it has proven to be a path-breaking technology.

As the fastest growing economy with the worlds second-largest population, India has a big stake in the AI revolution. The leading technology institutions in the country, such as IITs, NITs, and IIITs, have the ability to be the cradle of AI researchers and start-ups. In order to solve social problems, Indian start-ups are growing and developing AI solutions in education, health, financial services, and other fields.

For instance, the Deccan Article notes that the first Community Centre for Artificial Intelligence was launched in Hyderabad. They also mentioned that The HexArt Institute is an initiative of the Hexagon Capability Center India (HCCI), the greatest product development center of the technology major Hexagon AB. It recognizes this institution as an initiative of timely societal responsibility. The center will train over 350 students in several batches per year.

Some of the AIs main prospects in India are:

Digital assistants to be used by several highly advanced organizations to communicate with customers, saving the need for human resources.

Together with other innovations, organizations can use AI to make machines take decisions faster than an individual and perform actions faster.

In almost every area, AI powers several inventions that will help humans overcome the majority of complex issues.

Trade and Development agreement to operate together to leverage the power of cutting-edge technology to improve and expand trade, such as AI and blockchain.

Additionally, companies like Google, Microsoft, Amazon are trying to achieve the governments needs of cloud computing and machine learning. Private companies will rush to win big contracts, add to the stream of funds to create innovative technology, and establish new AI and data scientific startups as the Indian government pushes for digital transformation and introduces more AI initiatives.

However, some of AIs major adoption challenges are:

India has a comparatively small number of researchers in the field of machine learning and research production.

India has very little local awareness of the latest knowledge that is being generated by others each day.

Given the existing and potential possibilities, Indian businesses have been reluctant to accept AI.

Despite the number of available standard packages, India does not have sufficient qualified personnel to apply machine learning to its own challenges and data.

In its capacity to handle challenges, current AI strategies are minimal, and they will have to develop to deal with the complexity of life in India.

In general, Indias digital footprint has seen tremendous growth. The government is also moving different programs toward the objective of technical infrastructure. Different agencies and artificial intelligence institutes including sectors are developing policy structures and programs that instill such skills. With a little more drive towards resources and frameworks that boost its development, the Indian artificial intelligence market, which is still regarded as emerging, can certainly take a leap.

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BlackSky Awarded IARPA Contract to Develop Platform for Global Construction Monitoring Using Next Generation Artificial Intelligence – Business Wire

HERNDON, Va.--(BUSINESS WIRE)--BlackSky, a leading provider of global monitoring services and geospatial insights, today announced an award from the Intelligence Advanced Research Projects Activity (IARPA) for a multi-phase, multi-year research contract. IARPA is responsible for leading research programs to overcome difficult challenges relevant to the U.S. intelligence community.

BlackSky has been selected to aid in the development of IARPAs Space-based Machine Automated Recognition Technique (SMART) Program. The SMART program aims to automate the quantitative analysis of space-based imagery to perform broad-area searches for natural and man-made events using time-series imagery. BlackSky will expand upon its Spectra AI platform to develop a responsive system that can automatically monitor large-scale construction of critical infrastructure such as military bases, stadiums, campuses, dams, and airports.

This is a tremendous breakthrough in unsupervised learning for our Spectra AI platform and an unprecedented step toward the future of global monitoring, said Brian OToole, CEO of BlackSky. The IARPA SMART program is a natural fit for BlackSky given our deep expertise in geospatial analytics and our proven ability to deliver first-to-know insights.

Under the contract, BlackSky will create open source, supervised, and semi-supervised learning algorithms to recognize data patterns specific to large-scale construction projects. The combined effort will leverage the resources of NASAs and U.S. Geological Survey Landsats constellation and Sentinel, the European space agencys constellation.

About BlackSky LLC

BlackSky is a global monitoring company. We monitor activities and facilities worldwide by harnessing the worlds emerging sensor networks and leveraging our own satellite constellation. We process millions of observations daily from space, air, environmental sensors, asset tracking sensors, Industrial IoT, and Internet-enabled narrative sources. BlackSkys on-demand swarm of satellites can image a location multiple times throughout the day. We monitor for pattern-of-life anomalies to produce alerts and enhance situational awareness. Our monitoring service is powered by cutting-edge compute techniques including machine learning, artificial intelligence, computer vision, and natural language processing. BlackSkys global monitoring is available via a simple subscription and requires no IT infrastructure or setup. For more information visit http://www.blacksky.com

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