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MIT Enterprise Forum Cambridge

Isobar presentation from Auto-ID & Sensing Solutions Expo

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In this MIT Enterprise Forum of Cambridge Innovation Series event, we heard from CEOs, founders, and technology experts at the companies on the forefront of this ongoing digital transformation of supply chain. Speakers: Samantha Radocchia, Co-Founder and Chief Product Officer, Chronicled, Brigid McDermott, Vice President, Blockchain, IBM, Dan Harple, Founder and CEO, Context Labs, Dan Doles, CEO, Mojix and Bill McBeath, Chief Research Officer, ChainLink Research Moderated by: Michael Casey, Senior Advisor - Blockchain Research, MIT Media Lab

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The MIT Enterprise Forum of Cambridge gathered together a crowd on March 29, 2017 at the Broad Institute to hear about some of the most exciting wearable technologies on the front wave of transformation in healthcare. From devices that measure brain activity and track workouts, to systems that stimulate muscles to minimize workouts, to body sensors and voice-activated collaborative care solutions that help improve patient engagement and quality of care, the possibilities are near endless. Please note not all slides presented at the live event are available here, per the request of the presenting companies. For more information about the MIT Enterprise Forum of Cambridge and all of our programs, please visit: www.mitforumcanbridge.org

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MIT Enterprise Forum of Cambridge Connected Things panel: IoT in Motion Today things are in constant motion, creating the need to track and trace, not only an items location, but to understand the entire journey- temperature, pressure, humidity. Today pallets, cases, cartons and boxes are all being tagged joining the world of IOT enabled devices. Billions of dollars are wasted on lost items, spoiled food and improperly handled pharmaceuticals, but by deploying IoT related solutions provides each of these items with a “voice” to capture and play back their journey. The end game is to create an IoT network with a clear vision from beginning to the end is enabled, effectively creating the concept of a “glass pipeline” where visibility and data is available throughout an items journey. Speakers Barb Johnston, Manager Operational Programs, Air Canada Mike Nicometo, CEO, Cargo Aware LLC Eric Wood, Vice President Product Management, Printed Electronics, RR Donnelley Thomas Zurick, Director, Unisys Corporation Moderator David Eagleson, VP of Worldwide Sale & Strategic Accounts Brightvolt/ Former Board Member RFID Global Solutions

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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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