At 25, Ms Annabelle Kwok has already made a name for herself. Two years ago, she made waves when she co-founded SmartCow, an artificial intelligence (AI) company that came up with an electronic board that could run various AI software. Last year, Ms Kwok left SmartCow and started NeuralBay, a company that focuses on detection and recognition software related to humans, objects and text, and offers AI-driven solutions for multinational corporations. Her clients include an aviation corporation, an automation industry company and chocolate company Ferrero. Ms Kwok traces her interest in tech to a box of Lego bricks with electric cables called Lego Mindstorms, which her parents, who work in banking, bought for her when she was in primary school.

Every discussion about artificial intelligence seems to alternate between utopia and dystopia. Some believe that the productivity unleashed through automation will lift up all of society, creating a world of superabundance and more meaningful work, while others see robots taking our jobs and an acceleration of trends favoring capital over labor. In fact, in an article in Harvard Business Review, Accenture's Mark Knickrehm describes five distinct schools of thought, ranging from both extremes to various shades of gray in between. He suggests that leaders need to reinvent operating models, redefine jobs and include employees in the process of transformation. Yet that's easier said than done.

Delivery drones are real and they're operating on a national level, but they're not dropping off impulse purchases, and some of the most important applications are not in the United States. Zipline, a Bay Area startup, inked a deal with the government of Rwanda in 2016 and now uses small, autonomous planes to deliver medical supplies, and in particular blood, to rural communities across the African country. "It's a pretty cool paradigm shift for people who think all technological revolution is going on in US, and it'll trickle down to poor countries," says Zipline CEO, Keller Rinaudo, presenting his vision for drone deliveries on stage at the WIRED25 summit in San Francisco on Monday. "This is the opposite of that." Amazon created an internet-wide buzz when it announced it wanted to start delivering online shopping via drone, in a 60 Minutes interview in 2013.

A Ghanaian teenager, Mustapha Diyaol Haqq, created an AI system that is able to predict breast cancer. Ahmadiyya Senior High School in Kumasi, says he taught himself to code and got himself working as a coding instructor and a mentor in Ghana Code Club. The AI model makes use of breast cancer test results from breast fine needle aspiration test to classify breast cancer tumour I for malignant (cancerous) and O for benign (Not cancerous). Mustapha believes that over time with the use of larger Ghanaian data, models can be created with higher accuracy and used for real case scenarios. His model was tested on the machine learning repository by the University of California.

Traditionally famine is classified in five stages, from "minimal" food insecurity through "crisis" to "famine". Modelling of last year's famine in Somalia suggested intervening before stage five could reduce aid costs by 30 per cent. But the real saving, Mr Kim said, would be in preventing the permanent developmental damage done to children by malnutrition, which leaves them with "fewer neural connections" and less ability to participate in the workforce. Research shows that children born during a famine earn around 13 per cent less over their lifetime. Mr Kim said: "One of the things that has been shown in Ethiopia is that if you think a famine is coming, if you do something really simple like double the amount of cash transfers that poor people get, you can actually stop the famine from going forward. "We have not yet had a system like Artemis that tells us about potential famines that early in the process... our hope is that by working closely with it we'll be able to detect potential famines early enough that we can start investing in things."

The field of machine learning is quite a hot topic. We know that this type of artificial intelligence (AI) provides computers with the ability to learn without being explicitly programmed. For people like me who need it in simpler terms, machine learning deals with systems that can learn from past data and experience to improve performance of a particular task. Machine learning already is touching our daily lives, both personally and professionally, more than anyone could've imagined. For example, a home's lawn sprinkler system can be trained to tell the difference between squirrels and cats, and to turn on when cats walk on the grass in order to shoo them away.

With the loud bang of the gavel on the lectern, meeting number 453 of the West Rand Toastmasters was declared open. The Club's President, Esther Dreyer, welcomed everyone at the meeting, and one of the new members, Jacky Motaung, gave the Toast to South Africa. Lynette Harris was the first speaker of the evening. She spoke about the evening's theme, which was Artificial Intelligence. The word for the evening was'excel', something which all members definitely did in their various roles and speeches. Alwyn van Wyngaarden took on the role of Joke Master, and had everyone in stitches.

With the loud bang of the gavel on the lectern, meeting number 453 of the West Rand Toastmasters was declared open. The Club's President, Esther Dreyer, welcomed everyone at the meeting, and one of the new members, Jacky Motaung, gave the Toast to South Africa. Lynette Harris was the first speaker of the evening. She spoke about the evening's theme, which was Artificial Intelligence. The word for the evening was'excel', something which all members definitely did in their various roles and speeches. Alwyn van Wyngaarden took on the role of Joke Master, and had everyone in stitches.

The Healthcare Artificial Intelligence Market research report tries to understand the pioneering tactics taken by vendors in the global market to offer product differentiation through Porter's five forces analysis. It also points out the ways in which these companies can reinforce their stand in the market and increase their revenues in the coming years. Ongoing industrial advancements and the persistent penetration of Internet in the remote corners of the world are also responsible for the noteworthy growth of the Global Healthcare Artificial Intelligence Market. This Healthcare Artificial Intelligence market intelligent report highlights on the key retailers in this market everywhere throughout the world. This domain of the report contains the business formats, insurance, and product illustrations, volume, generation, contact statistics, price, and revenue.

It seems artificial intelligence (AI) is the way to go for businesses and corporate. Going by a recent study, as many as 90 per cent of executives feel AI will have a positive impact on their company's growth. The findings are a part of the study entitled, "Intelligent Economies: AI's Transformation of Industries and Society, that explores the transformative potential of artificial intelligence (AI) on markets and societies across the developed and developing worlds. The study, conducted by The Economist Intelligence Unit (EIU) and sponsored by Microsoft, surveyed more than 400 senior executives from various industries, including financial services, healthcare and life sciences, manufacturing, retail and the public sector. The survey was conducted in eight markets: France, Germany, Mexico, Poland, South Africa, Thailand, the UK and the US.