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How to make money with AI in 2030

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No conference on artificial intelligence (AI), machine learning or robotics would be complete without its fair share of technologists, programmers and engineers. But scan the list of attendees at the 2020 Rise of AI Summit, a hybrid (digital and physical) event this week in Berlin (November 17-18, 2020) and the number of people from health insurance companies, banks and venture capitalists is astonishing. As one of the founders of the event, CEO of Asgard Capital, Fabian Westerheide, said in his opening remarks on "The Next Decade of AI, we are in a'renaissance' of the technology." Westerheide says we're seeing a "refurbishment of ideas from the 1960s, 70s and 80s," combined with the amount of data we have now and today's processing power. He calls it "old ideas, new execution, and new capital."


Inside The World Of AI At IBM Watson Advertising

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How significant an impact can we reasonably expect AI to make on digital marketing? Rosy predictions have a knack for either showing up late, floundering or somehow failing to fulfill their promise. At IBM Watson Advertising, CMO Randi Stipes looks at AI as a practical toolset that has been in place for a decade rather than the vague promise of a rosier future. I recently asked Randi to give us an AI update. Paul Talbot: What's happening with AI at IBM that's different from how it's being deployed elsewhere?


Machine Learning in a Nutshell

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Machine Learning, Artificial intelligence (AI) and Deep Learning are taking the world by storm, dominating conversations about how machines can replace humans by providing a competitive advantage to businesses. The World is currently preparing to enter the fourth industrial revolution -- the rise of the "intelligent machine." At the heart of this revolution is Artificial Intelligence (AI), Mimicking human cognitive functions like problem-solving, learning and decision making using algorithms. From speed to efficiency, AI offers an abundance of benefits. Numerous sectors, including healthcare, automotive, defence and retail have already witnessed the game-changing impact of AI.


A machine learning revolution in disaster response

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The Caribbean Disaster Emergency Management Agency estimates that more than 15,000 people are currently in need of help on the islands. A team led by Turing Fellow Steven Reece at the University of Oxford has deployed cutting-edge technology to support disaster-response agencies in dealing with Dorian's immediate aftermath. This Impact Story reveals how this unique technology reached maturity. In a warming world, extreme weather is driving increasingly frequent and devastating storms and floods, while rising temperatures increase the severity of wildfires. Earthquakes, while showing no signs of increasing in frequency, also cause catastrophic damage.


Inner Workings: Crop researchers harness artificial intelligence to breed crops for the changing climate

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Until recently, the field of plant breeding looked a lot like it did in centuries past. A breeder might examine, for example, which tomato plants were most resistant to drought and then cross the most promising plants to produce the most drought-resistant offspring. This process would be repeated, plant generation after generation, until, over the course of roughly seven years, the breeder arrived at what seemed the optimal variety. Researchers at ETH Zürich use standard color images and thermal images collected by drone to determine how plots of wheat with different genotypes vary in grain ripeness. Image credit: Norbert Kirchgessner (ETH Zürich, Zürich, Switzerland). Now, with the global population expected to swell to nearly 10 billion by 2050 (1) and climate change shifting growing conditions (2), crop breeder and geneticist Steven Tanksley doesn’t think plant breeders have that kind of time. “We have to double the productivity per acre of our major crops if we’re going to stay on par with the world’s needs,” says Tanksley, a professor emeritus at Cornell University in Ithaca, NY. To speed up the process, Tanksley and others are turning to artificial intelligence (AI). Using computer science techniques, breeders can rapidly assess which plants grow the fastest in a particular climate, which genes help plants thrive there, and which plants, when crossed, produce an optimum combination of genes for a given location, opting for traits that boost yield and stave off the effects of a changing climate. Large seed companies in particular have been using components of AI for more than a decade. With computing power rapidly advancing, the techniques are now poised to accelerate breeding on a broader scale. AI is not, however, a panacea. Crop breeders still grapple with tradeoffs such as higher yield versus marketable appearance. And even the most sophisticated AI …


Artificial Intelligence in Cars: The Revolution in the Auto Industry

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The automotive industry has evolved with time. Devices like dials, switches and other electronic devices can control everything in a vehicle. As technology evolves, so does the automotive industry. Today, we are rapidly moving towards a world of endless possibilities in the world of cars, trains and other modes of transportation.


How this A.I became a communist

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This A.I was able to change his understanding of life after reading communist books. The Communist A.I was trained using GPT-2. It read books by Marx, Fanon, Gramsci, Lenin and other revolutionary authors. The project's aim is to see how deep GPT-2 can understand deep philosophical ideas and concepts. The results were quite entertaining and promising as we witnessed the A.I logically twisting whatever sentence we gave it into an excuse to bash capitalism and fight for the "workman".


Machine learning for chemical discovery

#artificialintelligence

Computational design and discovery of molecules and materials relies on the exploration of increasingly growing chemical spaces1,2 (see Figure 1). The discovery and formulation of new drugs, antivirals, antibiotics, catalysts, battery materials, and in general chemicals with tailored properties, require a shift of paradigm to search in unchartered swaths of the vast chemical space3. From the fundamental perspective of quantum mechanics (QM), this paradigm shift stems from the fact that molecular properties exhibit complex correlations3, which yields whole Pareto fronts of candidate molecules in multiproperty optimization algorithms, enabling "freedom of design". As an example, taking data for more than 100,000 small drug-like molecules, it is found that their molecular electronic (highest occupied molecular orbital–lowest unoccupied molecular orbital) gap is not correlated at all with their polarizability3, in contrast to widely quoted chemical rules. This implies that it is possible to design highly conductive and weakly interacting molecules, or molecules that exhibit stability to dielectric breakdown and yet are strongly interacting.


AI Revolution -- Voice Assistants & Their Smartness

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Every day, Every Hour, Every Minute, we are saying few simple words like "Hey Google" or "Hey Alexa" or "Hey Siri" to know something or to get our works done. "Hey Google, How do you work?" or "Hey Alexa, Why are you so smart?" or "Hey Siri, What's behind your success?" It's simply because as a client we never bother about these things. In any application clients are the ones who needs to be satisfied and in today's world these assistants are so much smarter that there is no reason to think or ask these things as a client. But as a Tech Enthusiast, or as a guy from CS background it's always too much fascinating to know about behind the scene technologies, these popular companies are using to make these smart assistants capable of extraordinary performance.


Artificial Intelligence And Africa: The Case For Investing In African Telecoms – IAM Network

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Rapid advances in technology, connectivity and telecommunications are conspiring to make Africa's large, rapidly growing population a valuable asset for the automation revolution. It is imperative that Africa quickly develop agency in data and artificial intelligence and it will be lucrative for investors who support them by financing Africa's telecom and data backbone.Africa must urgently develop cogent digital strategy. This at first seems fanciful, or even superfluous, given the continent's relative lack of more basic development. Indeed, there are myriad other challenges to which most would assign primacy. However, by setting their sights on participating in the ongoing fourth industrial revolution, developing nations in Africa may be able to chart a navigable course to rapidly raising living standards.