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The Pebble Smart Watch combines with Salesforce to create a great user experience. Join us as we show you how to connect to the watch, display critical information on it, and communicate back to Salesforce in real time. You will experience a deep dive into the Pebble SDK and powerful platform technologies like the Streaming API.
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Pebble Time Round is everything special about the Pebble experience in a sexy round design that’s subtle about the smart features within. It’s wearable tech, incognito. Here is all you need to know about the Pebble Time Round Watch : What all pebble has added to wearable technology is here. Since, Wearable watches are now available in new shape i.e. “ ROUND “ by pebble and with some exciting features that can make your life more easy. Here is a review on #pebble #time #round watch. #ChromeInfotech We have created this PPT to help you explore all new features of pebble round watch.
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The Pebble Smart Watch combines with Salesforce to create a great user experience. Join us as we show you how to connect to the watch, display critical information on it, and communicate back to Salesforce in real time. You will experience a deep dive into the Pebble SDK and powerful platform technologies like the Streaming API.
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Google, Amazon and Wikia have reported an increase in abandonment and decrease in conversions as page load time increases. The average webpage takes 4.9 seconds to load. Most of the wait is on the frontend. The tools and best practices to reduce page load time are freely available. There is a strong business case to use them. Fresh back from O'Reilly Velocity 2010, this is a presentation I gave to the Melbourne Ruby User Group.
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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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Wearable Technology
1.
Alexa Douglas and
Hannah Sudano
2.
3.
• Pebble Smartwatch •
Google Glass • Fitbit Flex • Nike+ Fuelband • Jawbone device
4.
Pebble Smartwatch
5.
Music control Fitness
6.
-notifications -track runs -navigation -important emails
& texts
7.
8.
Processor: ARM Cortex- M3,
up to 80MHz Operating system: Pebble OS
9.
10.
11.
12.
13.
14.
15.
16.
17.
18.
19.
20.
https://www.google.com/search?q=intro+to+pebble+smartwatch&espv=210&es_sm=93&source=lnms&tbm=isch&sa=X &ei=Cl4NU5HeIue- sQSC3oCQDg&ved=0CAoQ_AUoBA&biw=1600&bih=799#facrc=_&imgrc=KHKnKeLLvaTRNM%253A%3Bo712yI1hkXPIZM% 3Bhttp%253A%252F%252Fwww.bankingtech.com%252Fwp- content%252Fblogs.dir%252F94%252Ffiles%252F2013%252F11%252FPebble_watch_trio_group_04-Pebble- smartwatch.png%3Bhttp%253A%252F%252Fwww.bankingtech.com%252F183841%252Fintelligent-environments-rolls- out-pebble-smartwatch-banking-app%252Fpebble_watch_trio_group_04-pebble-smartwatch%252F%3B1234%3B926 http://blog.utest.com/what-the-wave-of-wearable-tech-means-for-software-testers/2013/07/
http://www.google.com/glass/start/
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