Recommender systems are lifesavers in the infinite seething sea of e-commerce, improving customer experience. Recommender engines are eliminating the tyranny of choice, smoothing the way for decision-making, and boosting online sales. Moreover, ubiquitous AI technologies are sneaking into e-commerce, too, not only solving the problems of irrelevant recommendations but predicting the customer’s next steps.

In light of the pandemic’s impact, online sales are projected to grow twice in the next three years. Under those circumstances, businesses should ensure a perfect customer experience with precise recommendations to stand out. …


While supervised and unsupervised machine learning is a much more widespread practice among enterprises today, reinforcement learning (RL), as a goal-oriented ML technique, finds its application in mundane real-world activities. Gameplay, robotics, dialogue systems, autonomous vehicles, personalization, industrial automation, predictive maintenance, and medicine are among RL’s target areas. In this blog post, we provide a concrete explanation of RL, its applications, and Asynchronous Actor-Critic Agent (A3C), one of the state-of-the-art algorithms developed by Google’s DeepMind.

Key Terms and Concepts

Reinforcement learning refers to the type of machine learning technique enabling an agent to learn to interact with an environment (area outside the agent’s borders)…


Telehealth had skyrocketed under the pandemic worldwide. Currently, 46% of visits are delivered online, and 76% of consumers are interested in telehealth, as McKinsey experts state. To compare with 2019, when burdened with legal regulations, it was reaching about 11% of usage among US patients. We present a detailed analysis of the most promising medical specialties integrating telehealth in the US. See what healthcare providers have implemented already and what changes are coming.

Telehealth vs. telemedicine: What’s the difference?

Telehealth is likely to stay a growing trend in the post-pandemic era. Adopting telemedicine practices was reluctant before 2020. But now, it promises that $250 billion in…


Innovations in the pharmaceutical industry proved to be a tall order, as drug development’s success rate has been traditionally tremendously low. However, the COVID-19 pandemic whipped up R&D centers, markets, and leaders to develop the response to the crisis faster than ever. AI and ML bring to the table a toolbox to overcome new challenges in the whole industry. Significant that the Healthcare Artificial Intelligence market is expected to reach $51.3 billion by 2027 at CAGR (compound annual growth rate) of 41.4% starting from 2020. …


The medical application of machine learning and AI is one of the most principal and fast-growing fields of our expertise. Following the global rush for minimizing the coronavirus crisis effects, SciForce can not stay behind in the tremendous eHealth development.

The Severe Acute Respiratory Syndrome CoronaVirus 2 (SARS-CoV-2), popularly known as COVID-19, has become a matter of great concern globally since the end of 2019. While Pfizer-BioNTech, Moderna, AstraZeneca, and Sinovac vaccines have become household names and bring some light at the end of the tunnel, we’ve got more tasks to solve. Patients’ diagnosis, treatment, and monitoring cause enormous pressure…


Over the past 200 years, a model backing by extracting and consuming vast quantities of finite materials and fossil fuels has been shaping the global economy. Such a linear economic model has allowed humanity to build an impressive industrial economy and reach unprecedented prosperity. At the same time, this type of economy is responsible for current environmental issues, depletion of resources, and climate change.

Per McKinsey Global Institute, AI could add $13 trillion to the global economic activity by 2030, yet some issues may constrain its application for social good. …


MLOps, AIOps, DataOps, ModelOps, and even DLOps. Are these buzzwords hitting your newsfeed? Yes or no, it is high time to get tuned for the latest updates in AI-powered business practices. Machine Learning Model Operationalization Management (MLOps) is a way to eliminate pain in the neck during the development process and delivering ML-powered software easier, not to mention the relieving of every team member’s life.

Let’s check if we are still on the same page while using principal terms. Disclaimer: DLOps is not about IT Operations for deep learning; while people continue googling this abbreviation, it has nothing to do…


Facebook developed GraphQL as a major problem-solver for more efficient mobile data loading in 2012 and released it as an open-source solution three years later. Since that time, it mistakenly associates with PHP only and lacks trust given Facebook’s reputation (if you know what I mean). However, a recent Netflix case that finds GraphQL as a game-changer to power the API layer and increase the scalability and operability of the studio ecosystem attracts attention. This specification already gained popularity — given State of JavaScript 2019 Report, 50.6% of respondents have heard of GraphQL and would like to learn it. However…


Probably when Siri appeared in our life for the first time, the idea of talking to your device sounded like a whim or a funny activity to test Artificial Intelligence. By now, the use of voice-activated assistants has become an everyday experience. Siri, Google Assistant, and Cortana from our mobile devices and Amazon Echo, Google Home and Apple’s HomePod in our house are always ready to answer our question of complete a task. Such spreading of voice-activated applications has changed the way we perform a search in the Internet shifting it from typing keywords to asking direct

Voice search is…


As we all know, tastes differ and change over time. However, each epoch tried to define its own criteria for beauty and aesthetics. As science was developing, so was the urge to measure beauty quantitatively. Not surprisingly, the recent advancements in Artificial Intelligence pushed forward the question of whether intelligent models can overcome what seems to be human subjectivity.

A separate subfield of artificial intelligence (AI), called ‘computational aesthetics’, was created to assess beauty in domains of human creative expression such as music, visual art, poetry, and chess problems. Typically, it uses mathematical formulas that represent aesthetic features or principles…

Sciforce

Ukraine-based IT company specialized in development of software solutions based on science-driven information technologies #AI #ML #IoT #NLP #Healthcare #DevOps

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