10 Questions to ask Mobile App vs Mobile Site

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Wearable technology is perhaps the most prolific trend in the tech industry today. From activity-tracking fitness bands to Google Glass and Oculus Rift, big names are getting involved in the once-niche technology — and they're getting involved in big ways. You probably wouldn't have guessed that the tech behind wearable computing devices finds much of its history in attempting to cheat casinos. Inventors built some of the first wearables in the 1960s and '70s to count cards and improve a gambler's odds at the roulette table. From there, working with wearables remained a small-scale field. Aside from the explosion of calculator wristwatches in the '80s, wearable tech saw little change in terms of consumer devices. The technology was admirable, perhaps, but not practical for the consumer and certainly not user friendly. When things finally caught up with our favorite sci-fi films a few years after the turn of the millennium, we started to buy into it. Below, we've compiled a timeline of wearable technology's history, from the casino to the consumer. source: mashable.com

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Here’s a great infographic created by Digital Insights that covers all the latest Social Media facts for this year, including figures, numbers and statistics. Some of the highlights cover: 4.2 billion people use their mobile device to access social media sites There have been over 10 billion Facebook apps developed so far 28% of Retweets on Twitter are due to inclusion of “please RT!” Google + 40% of marketers use it, 70% want to learn more and 67% plan to increase activities 42% update their profile information regularly on LinkedIn Every second 8000 users like some or other photo on Instagram

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The presentation explores the development and application of artificial intelligence (AI) from its inception to its current status in the modern world. The term "artificial intelligence" was first coined by John McCarthy in 1956 to describe efforts to develop computer programs capable of performing tasks that typically require human intelligence. This concept was first introduced at a conference held at Dartmouth College, where programs demonstrated capabilities such as playing chess, proving theorems, and interpreting texts. In the early stages, Alan Turing contributed to the field by defining intelligence as the ability of a being to respond to certain questions intelligently, proposing what is now known as the Turing Test to evaluate the presence of intelligent behavior in machines. As the decades progressed, AI evolved significantly. The 1980s focused on machine learning, teaching computers to learn from data, leading to the development of models that could improve their performance based on their experiences. The 1990s and 2000s saw further advances in algorithms and computational power, which allowed for more sophisticated data analysis techniques, including data mining. By the 2010s, the proliferation of big data and the refinement of deep learning techniques enabled AI to become mainstream. Notable milestones included the success of Google's AlphaGo and advancements in autonomous vehicles by companies like Tesla and Waymo. A major theme of the presentation is the application of generative AI, which has been used for tasks such as natural language text generation, translation, and question answering. Generative AI uses large datasets to train models that can then produce new, coherent pieces of text or other media. The presentation also discusses the ethical implications and the need for regulation in AI, highlighting issues such as privacy, bias, and the potential for misuse. These concerns have prompted calls for comprehensive regulations to ensure the safe and equitable use of AI technologies. Artificial intelligence has also played a significant role in healthcare, particularly highlighted during the COVID-19 pandemic, where it was used in drug discovery, vaccine development, and analyzing the spread of the virus. The capabilities of AI in healthcare are vast, ranging from medical diagnostics to personalized medicine, demonstrating the technology's potential to revolutionize fields beyond just technical or consumer applications. In conclusion, AI continues to be a rapidly evolving field with significant implications for various aspects of society. The development from theoretical concepts to real-world applications illustrates both the potential benefits and the challenges that come with integrating advanced technologies into everyday life. The ongoing discussion about AI ethics and regulation underscores the importance of managing these technologies responsibly to maximize their their benefits while minimizing potential harms.

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10 Questions to ask Mobile App vs Mobile Site

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