Research in Deep Learning, Cracking GSoC 2019 with Sharad Chitlangia and Curious Harish | BITS Cast

TL;DR

Michele shares memories of Kobe Bryant, while guests discuss machine learning obstacles and motivation.

Transcript

hi I'm Michele Sharma and as many of you might know Kobe Brian and his daughter Gianna is no more they died in a helicopter crash and I was so shocked about with this news the first time when I saw it I could not believe it I was like sure this this this must be a fake news but then later on when I looked up it came out to be true and I was so shoc... Read More

Key Insights

• 💦 Michele Sharma pays tribute to Kobe Bryant, acknowledging his unparalleled work ethic and character.
• 🎰 Sharath discusses overcoming obstacles in machine learning projects and his interests in autonomous drones.
• 👨‍🔬 Harish shares insights into motivational aspects of pursuing machine learning and collaborating on research.
• 🧡 The podcast episode covers a diverse range of topics, from personal reflections to technical discussions in the machine learning field.
• 👨‍🔬 Research papers and projects like quantum reinforcement learning offer insights into innovative approaches to deep reinforcement learning.
• 🌍 The importance of applying machine learning solutions to real-world challenges, such as climate change, highlights the potential impact of AI technologies.
• 👥 Opportunity for aspiring researchers to connect with like-minded individuals through outreach groups for training and project collaboration.

Questions & Answers

Q: How did Michele react to the news of Kobe Bryant's tragic passing?

Michele was initially in disbelief and shock upon hearing about Kobe Bryant's death. She paid tribute to his work ethic and kind nature, expressing deep sadness.

Q: What topics did Sharath and Harish discuss during the podcast?

Sharath and Harish delved into machine learning obstacles and motivational factors. They shared insights about their journey in the field, discussing projects like autonomous drones and research papers.

Q: What insights did Michele provide about Kobe Bryant's impact?

Michele highlighted Kobe Bryant's exceptional work ethic, inspiration, and kindness. She expressed sorrow over the loss and encouraged prayers for his family and friends affected by the tragedy.

Q: How did Sharath describe his approach to machine learning projects?

Sharath shared his dedication to autonomous drones projects and a research paper on quantum reinforcement learning. He emphasized the importance of tackling resource-constrained challenges with innovative solutions.

Summary & Key Takeaways

• Michele pays tribute to Kobe Bryant, reflecting on his work ethic and inspirational impact.

• Guests Sharath and Harish discuss overcoming obstacles in machine learning and finding motivation through challenges.

• Sharath shares about his interest in autonomous drones, while introducing a research paper on quantum reinforcement learning.