During the British summer, conversations about sport become almost ubiquitous. This year, however, one participant in those conversations was very different: IBM Watson, IBM's cognitive intelligence. The All England Lawn Tennis Club knew that 2016 would feature unusually fierce competition for attention, with the Tour de France and Euro 2016 taking place alongside Wimbledon. More than ever before, social media was going to be a vital tool in directing that conversation, and directing attention to SW19. Wimbledon's "Cognitive Command Centre" – powered by Watson's intelligence running on a hybrid, IBM-managed cloud - scanned social media for emerging news and trends.
IT IS a nice coincidence that IBM's greatest boss and Sherlock Holmes's sidekick shared a surname. But whether it was Thomas J. or Dr John H. who inspired the name of the firm's latest venture into artificial intelligence (AI), the association of that name with a touch of genius makes "Watson" a clever choice. This sense of cleverness was reinforced in 2011, when Watson won a specially staged version of an American TV quiz show called "Jeopardy!" The system's capacity to parse questions posed to it in the show's convoluted, pun-ridden English, to search huge natural-language databases for clues, to synthesise those clues into answers and to frame those answers in a conversational way was able to beat to the draw the finest minds of American quizdom. Winning game-show prizes, though, is not a good enough business model to justify the investment it takes to build such a system.
A good deep learning model has a carefully carved architecture. It needs enormous training data, effective hardware, skilled developers, and a vast amount of time to train and hyper-tune the model to achieve satisfactory performance. Therefore, building a deep learning model from scratch and training is practically impossible for every deep learning task. Here comes the power of Transfer Learning. Transfer Learning is the approach of making use of an already trained model for a related task.
Just like the invention of steam power in 1780, electricity in 1870, computers in 1960, AI changes our world today. Although it has been a while since AI reached our doorstep, the potential it has to offer is huge. So how artificial intelligence is changing business today? AI is good at processing large amounts of data. For businesses, it opens new horizons for quick and well-considered decision-making, risk management, forecasting, logistics optimization, marketing personalization, etc.
Machine learning has advanced from the age of science fiction to a major component of modern enterprises, especially as businesses across almost all sectors use various machine learning technologies. As an example, the healthcare industry is utilizing machine learning business applications to achieve more accurate diagnoses and provide better treatment to their patients. Retailers also use machine learning to send the right goods and products to the right stores before it is out of stock. Medical researchers are also not left out when it comes to using machine learning as many introduce newer and more effective medicines with the help of this technology. Many use cases are emerging from all sectors as machine learning is being implemented in logistics, manufacturing, hospitality, travel and tourism, energy, and utilities.
Microsoft said on Monday it would buy artificial intelligence and speech technology firm Nuance Communications for about $16 billion (€13.43 billion) in cash, as it builds out its cloud strategy for healthcare. The deal comes as both companies, which partnered in 2019 to automate clinical administrative work such as documentation, gain from a boom in telehealth services with medical consultations shifting online due to the Covid-19 pandemic. "Nuance provides the AI layer at the healthcare point of delivery," Microsoft chief executive Satya Nadella said in a statement, adding "AI is technology's most important priority, and healthcare is its most urgent application." Microsoft's offer of $56 per share represents a premium of 22.86 per cent to Nuance's last close. Shares of Nuance rose nearly 23 per cent in pre-market trading.
This week viewers can pick up some catalog titles in 4K, like Saw, as well as 20th Anniversary Edition versions of Shrek and the first Fast and the Furious movie. But the major launch this week is Bioware's remastered version of the Mass Effect trilogy, now available across console generations and on PC, with improved graphics, gameplay and almost all of the content ever released for the games. Otherwise, Netflix has the final season of Castlevania, as well as a new round of episodes in the Love Death & Robots anthology. HBO's feature film release of the week is Those Who Wish Me Dead, and if you're looking for something a little different then try Intergalactic, a sci-fi prison break series from the UK that's streaming on Peacock. Look below to check out each day's highlights, including trailers and let us know what you think (or what we missed). Let's Be Real, Fox, 9:30 PM Everything's Gonna Be Okay, Freeform, 10 PM All times listed are ET.
Are you thinking of learning programming languages like C, Python or R to work on machine learning projects? AutoML could save you all the time and effort. Lately, Automated machine learning or AutoML has become a popular solution to build computer vision systems. The tech communities are awash with conversations around AutoML as to how it will change the way machine learning is done with limited or no coding knowledge. From autonomous vehicles to handwritten text recognition, face recognition, personalised recommendations, and diagnosing from x-ray images, computer vision is transforming industries globally.
Machine learning is not new to the marketing field. Hardly any company hasn't yet implemented these benefits to optimize content, boost customer experience, and increase sales. But as time goes, ML tools become even more elaborate and help marketers conquer all the new peaks in improving their efficiency and satisfying consumers. As a subset of artificial intelligence, machine learning is the computer's ability to develop new, more effective solutions through analyzing previous mistakes, choices, and decisions. Machine analysis is faster and more accurate than human, so it saves months of time and can be applied to almost any marketing task.