The graph represents a network of 1,214 Twitter users whose tweets in the requested range contained "#FinServ", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Sunday, 20 February 2022 at 02:41 UTC. The requested start date was Sunday, 20 February 2022 at 01:01 UTC and the maximum number of days (going backward) was 14. The maximum number of tweets collected was 7,500. The tweets in the network were tweeted over the 2-day, 21-hour, 13-minute period from Thursday, 17 February 2022 at 03:16 UTC to Sunday, 20 February 2022 at 00:30 UTC.

What Women CEOs in Africa Need to Know about Artificial Intelligence (AI) is an unprecedented convening of the CEOs of leading African corporations, designed to provide a one-stop intensive primer on AI at a strategic business level for large African corporates. The summit has been conceptualized as a collaboration between Africa.com's Artificial Intelligence (AI), enables machines to exhibit human-like cognition. AI is leading the next wave of digital disruption across businesses globally. As Africa moves forward in the business and tech worlds shaped and accelerated by COVID, this summit examines where Africa is headed in its use of AI, and how AI may provide a platform for Africa to leapfrog in strategic realms.

There's a strand of thinking, from sci-fi films to Stephen Hawking that suggests artificial intelligence (AI) could spell doom for humans. But conservationists are increasingly turning to AI as an innovative tech solution to tackle the biodiversity crisis and mitigate climate change. From camera trap and satellite images to audio recordings, the report notes: "AI can learn how to identify which photos out of thousands contain rare species; or pinpoint an animal call out of hours of field recordings – hugely reducing the manual labour required to collect vital conservation data." AI is helping to protect species as diverse as humpback whales, koalas and snow leopards, supporting the work of scientists, researchers and rangers in vital tasks, from anti-poaching patrols to monitoring species. With machine learning (ML) computer systems that use algorithms and models to learn, understand and adapt, AI is often able to do the job of hundreds of people, getting faster, cheaper and more effective results.

Technology is improving every aspect of a business today. As a result, many organizations from various sectors are improving their digital transformation efforts. One way they do so is by including innovative AI solutions. AI is simply artificial intelligence. Neither would it destroy it.

Using'smart screws' and artificial intelligence, doctors in the UAE have successfully lengthened an Emirati man's leg. The rare, intricate operation is the first of its kind to be performed in the Middle East. The 25-year-old man had been suffering from a congenital defect, due to which his right leg was 9cm shorter than his left. The imbalance affected his pelvic region, causing severe lower back pain. Dr Bilal Al Yafoui, head of the Orthopaedics and Trauma Department at Rashid Hospital, performed the operation.

Now, we trust the complex processes underlying artificial intelligence (AI) with everything from navigation to movie recommendations to targeted advertising. Can we also trust machine learning with our health care? The integration of AI and cancer care was a popular topic in 2021, as evidenced by prominent sessions at two of last year's AACR conferences: the 14th AACR Conference on the Science of Cancer Health Disparities in Racial/Ethnic Minorities and the Medically Underserved, held virtually October 6-8, 2021, and the San Antonio Breast Cancer Symposium (SABCS), held in a hybrid format December 7-10, 2021. During these sessions, experts gave an overview of how machine learning works, shared data on new applications of AI technologies, and emphasized important considerations for making algorithms equitable. Recognizing that a diverse audience of breast cancer clinicians and researchers may have questions about the fundamentals of AI, the SABCS session "Artificial Intelligence: Beyond the Soundbites" opened with a talk titled, "Everything You Always Wanted to Know About AI But Were Afraid to Ask," presented by Regina Barzilay, PhD, the AI faculty lead at the Jameel Clinic of the Massachusetts Institute of Technology.

"thwop," "muah" and "boop" are some of the sounds made by Humpback Whales. This story was originally published by the Guardian and is reproduced here as part of the Climate Desk collaboration. From the "boing" of a minke whale to the "drum" of a red piranha, scientists are documenting more sounds in our world's oceans, rivers and lakes every year. Now, a team of experts wants to go a step further and create a reference library of aquatic noise to monitor the health of marine ecosystems. The Global Library of Underwater Biological Sounds (GLUBS) will include every "thwop," "muah" and "boop" of a humpback whale, as well as human-made underwater sounds and records of the geophysical swirl of ice and wind, according to a paper in the journal Frontiers in Ecology and Evolution.

We have the pleasure of introducing Radiant Earth Foundation's first online course, Machine Learning for Earth Observations (ML4EO) Bootcamp. Available on Atingi, an open digital learning platform designed to improve training and employment opportunities, this self-paced course contains a mixture of lectures and hands-on exercises for novice data science or remote sensing practitioners. Atingi is implemented by the Deutsche Gesellschaft für Internationale Zusammenarbeit (GIZ) on behalf of the German Federal Ministry for Economic Cooperation and Development (BMZ). A discussion exchange forum has been set up for participants to post questions about the course content and get help from others taking the course. The Radiant MLHub LinkedIn community page and Slack channel can also be used to crowdsource answers to questions.

DURBAN, Feb 16 (Thomson Reuters Foundation) – Determined to use her skills to fight inequality, South African computer scientist Raesetje Sefala set to work to build algorithms flagging poverty hotspots – developing datasets she hopes will help target aid, new housing or clinics. From crop analysis to medical diagnostics, artificial intelligence (AI) is already used in essential tasks worldwide, but Sefala and a growing number of fellow African developers are pioneering it to tackle their continent's particular challenges. Local knowledge is vital for designing AI-driven solutions that work, Sefala said. Africa is the world's youngest and fastest-growing continent, and tech experts say young, home-grown AI developers have a vital role to play in designing applications to address local problems.

Even though artificial intelligence can bring about a substantial positive impact in many areas of our lives, AI's inappropriate and unethical use has become a big concern in recent years. During my investigation of artificial intelligence in business and in societies in the last five years, I have been negatively surprised by the quantity of wrong and unethical usage of AI worldwide. Several big technology companies have been involved in scandals by allowing wrong and unethical use of data and artificial intelligence in their platforms. The most well-known is the Cambridge Analytica scandal. Facebook gave access to sensitive user data of 87 million user to consultant firm Cambridge Analytica which used AI algorithms to micro-target their political ads in the 2016 US elections.