BEGIN:VCALENDAR VERSION:2.0 PRODID:IEEE vTools.Events//EN CALSCALE:GREGORIAN BEGIN:VTIMEZONE TZID:Asia/Kolkata BEGIN:STANDARD DTSTART:19451014T230000 TZOFFSETFROM:+0630 TZOFFSETTO:+0530 TZNAME:IST END:STANDARD END:VTIMEZONE BEGIN:VEVENT DTSTAMP:20231013T155855Z UID:E28731AF-A8B6-4215-BF2F-CC90B1C2349E DTSTART;TZID=Asia/Kolkata:20231004T190000 DTEND;TZID=Asia/Kolkata:20231004T200000 DESCRIPTION:The webinar titled "Artificial Intelligence for a Greener Tomor row: Sustainable Solutions" was held on October 4\, 2023. The speaker for this enlightening event was Dr Sarfaraz Masood\, Associate Professor at Ja mia Millia Islamia (JMI)\, New Delhi. Dr Masood shared his expertise in Ar tificial Intelligence (AI) and its potential to address the 17 Sustainable Development Goals (SDGs). He began the session by highlighting the signif icance of the 17 SDGs established by the United Nations. These goals cover a broad spectrum of global challenges\, including poverty eradication\, c lean energy\, gender equality\, environmental conservation and many more. Dr Masood discussed the pivotal role of AI\, particularly machine learning (ML)\, in achieving these SDGs. He actually provided a clear overview of how to use Machine Learning in such a scenario by providing the classifica tions as Supervised Learning\, Unsupervised Learning and Reinforcement Lea rning. He also\n\nintroduced the attendees to the various online platforms from where they can get the classes and lectures on developing Technical Skills. He provided insights into the technical aspects of AI\, focusing o n deep learning and convolutional neural networks (CNNs). Explained how th ese advanced models revolutionize various domains by their ability to lear n intricate patterns and representations from data.\n\nThe tasks and the a pproach to accomplish them were also discussed. Such as Green Cover Detect ion\, Bird Specie Detection from Sound and Waste Segregation. In a captiva ting segment of the webinar\, Dr Masood introduced attendees to a remarkab le software known as Teachable Machine.\n\nHe demonstrated how users could input their datasets to enable the recognition of objects through either images or voice. The practical demonstration of this software was met with enthusiasm and was undoubtedly beneficial to the participants\n\nSpeaker( s): Sarfaraz Masood\n\nVirtual: https://events.vtools.ieee.org/m/378576 LOCATION:Virtual: https://events.vtools.ieee.org/m/378576 ORGANIZER:ieeestudentbranch@zhcet.ac.in SEQUENCE:23 SUMMARY:ARTIFICIAL INTELLIGENCE FOR A GREENER TOMORROW : SUSTAINABLE SOLUTI ONS URL;VALUE=URI:https://events.vtools.ieee.org/m/378576 X-ALT-DESC:Description: <br /><p class="p1">The webinar titled "Artificial Intelligence for a Greener Tomorrow: Sustainable Solutions" was held on Oc tober 4\, 2023. The speaker for this enlightening event was Dr Sarfaraz Ma sood\, Associate Professor at Jamia Millia Islamia (JMI)\, New Delhi. Dr M asood shared his expertise in Artificial Intelligence (AI) and its potenti al to address the 17 Sustainable Development Goals (SDGs). He began the se ssion by highlighting the significance of the 17 SDGs established by the U nited Nations. These goals cover a broad spectrum of global challenges\, i ncluding poverty eradication\, clean energy\, gender equality\, environmen tal conservation and many more. Dr Masood discussed the pivotal role of AI \, particularly machine learning (ML)\, in achieving these SDGs. He actual ly provided a clear overview of how to use Machine Learning in such a scen ario by providing the classifications as Supervised Learning\, Unsupervise d Learning and Reinforcement Learning. He also</p>\n<p class="p1">introduc ed the attendees to the various online platforms from where they can get t he classes and lectures on developing Technical Skills. He provided insigh ts into the technical aspects of AI\, focusing on deep learning and convol utional neural networks (CNNs). Explained how these advanced models revolu tionize various domains by their ability to learn intricate patterns and r epresentations from data.</p>\n<p class="p1">The tasks and the approach to accomplish them were also discussed. Such as Green Cover Detection\, Bird Specie Detection from Sound and Waste Segregation. In a captivating segme nt of the webinar\, Dr Masood introduced attendees to a remarkable softwar e known as Teachable Machine.</p>\n<p class="p1">He demonstrated how users could input their datasets to enable the recognition of objects through e ither images or voice. The practical demonstration of this software was me t with enthusiasm and was undoubtedly beneficial to the participants</p> END:VEVENT END:VCALENDAR