British artificial intelligence (AI) company, Faculty has raised £30 million ($42.5M) in growth funding from the Apax Digital Fund (ADF). The startup has now raised a total of £40m ($56.6M) to date. In April this year, the company announced it had won a contract to work with the UK's NHS to better predict its future needs. It has also picked up at least seven other UK government contracts. Its customers include the UK's National Crime Agency, Red Bull, Virgin Media, and Moonpig.

The United States isn't the only major military power trying to digitally link all of its weapons and execute operations faster with artificial intelligence. Russia has been making gains in its own version of centralized command and control across land, sea, space, and cyberspace, according to a new paper from a Navy-linked think tank. Over the past several years, Russian military leaders have steadily advanced an AI-linked concept called automated control systems, or ACS, says the paper, to be published Monday by the Center for Naval Analysis, or CNA. The Russian military's encyclopedia describes it as: "A system that automates such processes or functions of command and control of troops and (or) weapons (combat assets) such as: collection, processing, storage and delivery of information necessary to optimize command and control of troops and weapons." The concept bears an uncanny resemblance to the U.S. military's own vision for AI-fueled, network-centric operations.

Wherever you turn, artificial intelligence is showing up in new technology products and services across almost all industries. Here are a few examples of news headlines from just one day last week: Bloomberg: "Google Adds a Suite of New AI Tech for Photos and More" "Google's annual I/O conference kicked off on Tuesday and the company showed off all the ways it's using artificial intelligence to make our family memories more vivid, to make smartphone cameras less racist, and potentially to even save lives." BBC: "The Navy sub commanded by artificial intelligence" "MSubs of Plymouth, a specialist in autonomous underwater vehicles, won a £2.5m Ministry of Defence contract to build and test an Extra-Large Unmanned Underwater Vehicle (XLUUV) that should be able to operate up to 3,000 miles from home for three months. "The big innovation here is the autonomy.

A data analytics driven version of MCA21, which was India's first mission mode e-governance project, will be launched on Monday. This version MCA21 V 3.0 is expected to strengthen enforcement, promote ease of doing business, improve user experience and facilitate seamless integration and data exchange among regulators. MCA 21 is the online portal of Corporate Affairs Ministry (MCA) that has made all company-related information accessible to various stakeholders and general public. It was initially launched in 2006. While presenting the Budget for 2021-22, Union Finance Minister and Corporate Affairs Minister Nirmala Sitharaman had said that the government will use data analytics, artificial intelligence, machine learning to launch MCA 21 3.0, which will add the facility of e-scrutiny, e-consultation, e-adjudication and compliance management among others.

When a flood hits a town or a village, satellites can capture images of the disaster, but when it comes to a quick assessment of the damage, there would be no better tool than artificial intelligence. It would help the relief workers to save more people in much less time. For the past 20 years, billions of people have been affected by disasters like floods. It is about time the governments stepped up their game in disaster management. On this ground, United Nations Institute for Training and Research (UNITAR) and the Operational Satellite Applications Programme (UNOSAT) have joined hands with UN Global Pulse to apply artificial intelligence for analyzing satellite imagery.

Global health care expenditure has been projected to grow from US $7.7 trillion in 2017 to US $10 trillion in 2022 at a rate of 5.4% [1]. This translates into health care being an average of 9% of gross domestic product among developed countries [2,3]. Some key global trends that have led to this include tax reform and policy changes in the United States that could impact the expansion of health care access and affordability (Affordable Care Act) [4], implications on the United Kingdom's health care spend based on the decision to leave the European Union [5], population growth and rise in wealth in both China and India [6-8], implementation of socioeconomic policy reform for health care in Russia [9], attempts to make universal health care effective in Argentina [10], massive push for electronic health and telemedicine in Africa [11], and the impact of an unprecedented pace of population aging around the world [12]. From clinicians' perspective there are many important trends that are affecting the way they deliver care of which the growth in medical information is alarming. It took 50 years for medical information to double in 1950. In 1980, it took 7 years. In 2010, it was 3.5 years and is now projected to double in 73 days by 2020 [13].

Social media firms claim they're just trying to build communities and connect the world and that they need ad revenues to remain free. But nothing is really free. For them, more views mean more money and so they've optimized their algorithms to maximize engagement. Views are the algorithms' "reward function" -- the more views the algorithms can attract to the platform the better. When an algorithm promotes a given post and sees an upsurge of views, it will double down on the strategy, selectively timing, targeting and pushing posts in ways that it has found will stimulate further sharing, a process called reinforcement learning.

Over the last few weeks, regulators and lawmakers around the world have made one thing clear: New laws will soon shape how companies use artificial intelligence (AI). In late March, the five largest federal financial regulators in the United States released a request for information on how banks use AI, signaling that new guidance is coming for the finance sector. Just a few weeks after that, the U.S. Federal Trade Commission (FTC) released an uncharacteristically bold set of guidelines on "truth, fairness, and equity" in AI -- defining unfairness, and therefore the illegal use of AI, broadly as any act that "causes more harm than good." The European Commission followed suit on April 21 released its own proposal for the regulation of AI, which includes fines of up to 6% of a company's annual revenues for noncompliance -- fines that are higher than the historic penalties of up to 4% of global turnover that can be levied under the General Data Protection Regulation (GDPR). For companies adopting AI, the dilemma is clear: On the one hand, evolving regulatory frameworks on AI will significantly impact their ability to use the technology; on the other, with new laws and proposals still evolving, it can seem like it's not yet clear what companies can and should do.

Data science is an interdisciplinary field that uses scientific methods, processes, algorithms and systems to extract knowledge and insights from structured and unstructured data, and apply knowledge and actionable insights from data across a broad range of application domains. In this blog, we provide links to popular open-source and public data sets, data visualizations, data analytics resources, and data lakes. A corpus of web crawl data composed of over 50 billion web pages. The Common Crawl corpus contains petabytes of data collected since 2008. It contains raw web page data, extracted metadata and text extractions.

Covid-19 has focused businesses more and more on their supply chains, said fast-emerging Cork business Kwayga's CEO Martin Fitzgerald. "Right now, businesses are seeking new solutions to help buyers diversify their suppliers, and suppliers to diversify their markets." Kwayga is a B2B matching platform for buyers and suppliers in the food sector designed around trust and security. Using the platform buyers and suppliers discover, verify, match, connect, communicate in any language and trade. "Kwayga focuses on democratising international trade for mid-sized businesses by putting the right buyers with the right suppliers at the right time. Trust is the key component. We use AI to verify company profiles, we protect buyers from unsolicited approaches by giving them strong privacy controls, and we make a promise to suppliers that the deals posted on our platform are from real verified buyers."