Accelerating and Scaling Defense Acquisition with Sharothi Pikar

Defense Mavericks

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Understanding the Elegant Math Behind Modern Machine Learning 1:14:43

πριν 4 μέρες1:14:43

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1:14:43

Artificial intelligence is evolving at an unprecedented pace—what does that mean for the future of technology, venture capital, business, and even our understanding of ourselves? Award-winning journalist and writer Anil Ananthaswamy joins us for our latest episode to discuss his latest book Why Machines Learn: The Elegant Math Behind Modern AI . Anil helps us explore the journey and many breakthroughs that have propelled machine learning from simple perceptrons to the sophisticated algorithms shaping today’s AI revolution, powering GPT and other models. The discussion aims to demystify some of the underlying math that powers modern machine learning to help everyone grasp this technology impacting our lives, even if your last math class was in high school. Anil walks us through the power of scaling laws, the shift from training to inference optimization, and the debate among AI’s pioneers about the road to AGI—should we be concerned, or are we still missing key pieces of the puzzle? The conversation also delves into AI’s philosophical implications—could understanding how machines learn help us better understand ourselves? And what challenges remain before AI systems can truly operate with agency? If you enjoy this episode, please subscribe and leave us a review on your favorite podcast platform. Sign up for our newsletter at techsurgepodcast.com for exclusive insights and updates on upcoming TechSurge Live Summits. Links: Read Why Machines Learn, Anil’s latest book on the math behind AI https://www.amazon.com/Why-Machines-Learn-Elegant-Behind/dp/0593185749 Learn more about Anil Ananthaswamy’s work and writing https://anilananthaswamy.com/ Watch Anil Ananthaswamy’s TED Talk on AI and intelligence https://www.ted.com/speakers/anil_ananthaswamy Discover the MIT Knight Science Journalism Fellowship that shaped Anil’s AI research https://ksj.mit.edu/ Understand the Perceptron, the foundation of neural networks https://en.wikipedia.org/wiki/Perceptron Read about the Perceptron Convergence Theorem and its significance https://www.nature.com/articles/323533a0…

πριν περίπου ένα χρόνο 43:15

MP3•Αρχική οθόνη επεισοδίου

This week, defense acquisition powerhouse Sharothi Pikar joins Bonnie Evangelista for a deep dive into the world of defense acquisition. As the Deputy CDAO for Acquisition at the Chief Digital and Artificial Intelligence Office, Sharothi brings a wealth of knowledge from her origins as an army civilian computer engineer to her pivotal role at Cyber Command. She discusses the cultural and organizational mindset shifts needed to accelerate and scale the acquisition process as well as her vision for the future of acquisitions, the delicate balance of partnership and ownership, and the empowerment of program offices.

TIMESTAMPS:

(5:09) Sharothi's journey from army civilian to Cyber Command

(10:41) The challenges of a new organization like CDAO

(12:19) How to prioritize your customer

(13:50) Which comes first: scaling or adoption?

(17:08) How to plan for a successful prototype

(21:25) Embracing the art of pivoting

(26:06) Why maintaining and sustaining a capability is critical

(29:12) The key to developing real-time agile capabilities

(32:08) How to deliver at scale

(34:53) CDAO in 5 years

(39:49) Creating a framework that allows for risk

LINKS:

Follow Sharothi: https://www.linkedin.com/in/sharothi/

Follow Bonnie: https://www.linkedin.com/in/bonnie-evangelista-520747231/

CDAO: https://www.ai.mil/

Tradewinds AI: https://www.tradewindai.com/

152 επεισόδια

#Tech #Bonnie Evangelista | Tradewinds × CDAO

Defense Mavericks

Accelerating and Scaling Defense Acquisition with Sharothi Pikar

Defense Mavericks

published πριν περίπου ένα χρόνο

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MP3•Αρχική οθόνη επεισοδίου

TIMESTAMPS:

(5:09) Sharothi's journey from army civilian to Cyber Command

(10:41) The challenges of a new organization like CDAO

(12:19) How to prioritize your customer

(13:50) Which comes first: scaling or adoption?

(17:08) How to plan for a successful prototype

(21:25) Embracing the art of pivoting

(26:06) Why maintaining and sustaining a capability is critical

(29:12) The key to developing real-time agile capabilities

(32:08) How to deliver at scale

(34:53) CDAO in 5 years

(39:49) Creating a framework that allows for risk

LINKS:

Follow Sharothi: https://www.linkedin.com/in/sharothi/

Follow Bonnie: https://www.linkedin.com/in/bonnie-evangelista-520747231/

CDAO: https://www.ai.mil/

Tradewinds AI: https://www.tradewindai.com/

152 επεισόδια

#Tech #Bonnie Evangelista | Tradewinds × CDAO

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πριν 32 weeks36:02

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36:02

This week, Ryan is joined by Mike McGinley, director of GigEagle, mobilization assistant to the commander of the Air Force Lifecycle Management Center, and federal account executive at Google, to talk all things talent in the DoD. Mike shares his insights on the flexibility of reservists' service, the operational impact of overcoming bureaucracy and policy hurdles, and the revolutionary approach to integrating AI in talent acquisition. Tune in to this inspiring conversation on national collaboration and agility in the defense community. TIMESTAMPS: (0:46) Mike’s dual journey career (4:01) What is an agile talent ecosystem? (10:56) How to cut through red tape (15:53) Mike’s “aha” moment in an Uber (19:28) How fast is too fast to scale? (21:45) Why user feedback is critical for growth (26:04) The future of a whole-of-nation talent marketplace (32:58) Why we need to encourage creativity and teamwork in defense LINKS: Follow Ryan: https://www.linkedin.com/in/ryan-connell-8413a03a/ Follow Mike: https://www.linkedin.com/in/michaelmcginley2/ GigEagle: https://gigeagle.mil/ CDAO: https://www.ai.mil/ Tradewinds: https://www.tradewindai.com/…

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Accelerating and Scaling Defense Acquisition with Sharothi Pikar