Page 11 - nai udaan march 2024
P. 11

1970s–1980s: Advances in Robotics                 performance in natu-
               • 1973: The Stanford Cart demonstrates            ral       language
               autonomous navigation, a significant mile-        processing,
               stone in robotics.                                ind ic ating
               • 1979: Stanford's "Silver Arm" becomes a         continued
               pioneering industrial robot, showing the          progress in AI.
               potential for automation in manufacturing.        Impact on Indus-
               • 1981: Teknowledge introduces R1, an AI          tries: AI and robotics
               program capable of self-repair, showcasing        have       transformed
               advancements in autonomous systems.               industries such as healthcare, manufacturing,
               1990s–2000s: Practical AI Applications            and transportation. They have improved
               • 1997: IBM's Deep Blue defeats world chess       efficiency, safety, and productivity and have
               champion Garry Kasparov, showcasing AI's          the potential to address societal challenges.
               strategic capabilities.
               • 1998: Sony introduces AIBO, a robotic dog       Impact on Healthcare: In healthcare, AI and
               capable of learning and interacting, illustrating   robotics are transforming diagnosis,
               advancements in robotic companions.               treatment, and patient care.
               • 2004: The DARPA Grand Challenge sees            AI-driven technologies are improving medi-
               the successful demonstration of autonomous        cal imaging, enabling early disease detection,
               vehicles, paving the way for self-driving         and personalizing treatment plans.
               cars.                                             Impact on Manufacturing: In manufacturing,
                                                                 AI  and  robotics  are  optimizing  production
               2010s: AI Enters the Mainstream                   processes, increasing efficiency, and reducing
               • 2011: IBM's Watson wins Jeopardy!,              costs. AI-powered systems are improving
               demonstrating significant advancements in         quality control, predictive maintenance, and
               natural language processing.                      supply chain management.
               • 2016: AlphaGo defeats Go champion Lee
               Sedol, highlighting AI's ability to master        Future Prospects: As AI and robotics continue
               complex games through deep learning.              to evolve, their impact on industries and society
               • 2019: OpenAI's GPT-2 demonstrates               is expected to grow. These technologies have the
               remarkable natural language understanding,        potential to create new opportunities, solve
               sparking discussions about AI's societal          complex problems, and enhance our lives in
               impact.                                           ways we have yet to imagine.


               2020s: Recent Innovations and Future              Conclusion: The journey of AI and robotics has
               Prospects                                         been marked by extraordinary achievements and
                                                                 continuous innovation.
               • 2020: OpenAI releases GPT-3, a language         As  these  technologies evolve, their  impact  on
               model capable of generating human-like text.      industries and society is expected to grow,
               •  2021:  Boston  Dynamics'  Atlas                                    ushering  in  a  new  era  of
               robot showcases impressive                                               intelligent   machines
               agility and mobility, pushing         Mahesh Dhingra                       that  augment  human
               the boundaries of robotic                                                  capabilities     and
               capabilities.                        Student, class 9th                     transform the way we
               • 2023: Google's BERT                 Ahlcon Public                        live and work.
                                                         School
               achieves       state-of-the-art


             References:
             • Russell, S., & Norvig, P. (2021). Artificial Intelligence: A Modern Approach (4th ed.). Pearson.
             • Siciliano, B., & Khatib, O. (2016). Springer Handbook of Robotics. Springer.
             • Goodfellow, I., Bengio, Y., & Courville, A. (2016). Deep Learning. MIT Press.
             • Nilsson, N. J. (1998). Artificial Intelligence: A New Synthesis. Morgan Kaufmann.   ekpZ  -2024  xÉ<Ç =cÉxÉ   9 9
             • Murphy, R. R. (2019). Introduction to AI Robotics. MIT Press.
             • Stone, P., & Brooks, R. A. (Eds.). (2018). Intelligence: From Perception to Action. MIT Press.
   6   7   8   9   10   11   12   13   14   15   16