Practical AI: Machine Learning, Data Science
Autonomous fighter jets?!
Description
The episode discusses various applications of AI, including its use in fighter planes, industries like aviation and defense, autonomous drones, enterprise AI platforms, AI safety concerns, and personalized education. It also highlights the rapid development of AI models and the potential for realistic-looking educational content.
Insights
AI Autopilot Outperforms Human Pilots
The X62A Vista project features an F-16 fighter plane with a fully autonomous AI autopilot that has outperformed human test pilots in simulations.
Embedding AI in Physical Spaces
AI is being embedded in physical spaces like airplanes, retail environments, cars, manufacturing, agriculture, and machinery.
Interest in AI for Military Applications
There is significant interest in using AI in military and defense circles for various applications on ground, air, undersea, and space.
Advancements in Autonomous Drones
Windracers develops mid-sized autonomous drones for mail delivery and disaster relief. However, testing autonomous drones in airspace poses challenges due to regulations and safety concerns.
Open Platform for Enterprise AI
The Linux Foundation has launched an AI and data foundation for enterprise open platform for enterprise AI, aiming to develop flexible, scalable generative AI systems through open source innovation.
AI Safety and Realistic Content
AI safety and deep fakes are major concerns in 2024. New technologies like VASA and emo are generating life-like audio-driven talking faces in real time. The rapid development of AI models is evident, with hugging face hosting over 1 million AI models.
Potential of Realistic-looking Educational Content
There is anticipation for the integration of AI models into real-world scenarios, offering potential applications of realistic-looking educational content that provides engaging courses with less production effort.
Personalized Education and Practical AI Webinars
Personalized education through AI could provide individualized support for students. Practical AI webinars with hands-on components are being conducted to enhance learning experiences.
Chapters
- AI in Fighter Planes
- AI in Various Industries
- Autonomous Drones
- Open Platform for Enterprise AI
- AI Safety and Realistic Content
- Personalized Education and Practical AI Webinars
AI in Fighter Planes
00:05 - 07:45
- The X62A Vista project is an F-16 fighter plane enabled with a fully autonomous AI autopilot.
- The AI autopilot has outperformed human test pilots in simulated tests.
- The Secretary of the United States Air Force flew in the cockpit of the AI-enabled fighter plane during a simulated combat scenario, where neither human touched any controls.
- This development showcases embedding AI at the edge in advanced machinery like fighter planes, marking a significant advancement in AI application beyond cloud-based models.
AI in Various Industries
07:22 - 15:25
- AI is being embedded in physical spaces like airplanes, retail environments, cars, manufacturing, agriculture, and machinery.
- AI systems for commercial airliners are not yet authorized by the FAA in the United States but there is interest and testing ongoing.
- There is significant interest in using AI in military and defense circles for various applications on ground, air, undersea, and space.
- Advancements in AI technology have shown promising results such as AI autopilots outperforming human pilots in simulations.
- Public trust in automation was shaken by Boeing's 737 MAX issues but FAA approved AI systems could greatly enhance airline safety.
Autonomous Drones
15:02 - 22:56
- Windracers, a company at Purdue University, develops mid-sized autonomous drones for mail delivery and disaster relief.
- Testing autonomous drones in airspace poses challenges due to regulations and safety concerns.
- Regulations require due diligence in engineering and safety before testing autonomous drones.
- Increased focus on safety and reducing risks for human pilots in both commercial and military drone use.
- General Shanahan, a retired US Air Force leader, played a significant role in advancing AI in the military.
Open Platform for Enterprise AI
22:40 - 30:30
- The Linux Foundation has launched an AI and data foundation for enterprise open platform for enterprise AI with collaboration from various companies.
- The goal is to develop flexible, scalable generative AI systems by harnessing open source innovation.
- The initiative focuses on creating blueprints and reference implementations for industry standard advanced workflows in generative AI.
- There are open microservices being developed that can be plugged into different components, along with evaluations targeting performance metrics.
- The Open Platform for Enterprise AI aims to address the challenges organizations face in implementing generative AI solutions by providing a structured approach and industry-level evaluation.
AI Safety and Realistic Content
30:06 - 37:05
- AI safety and deep fakes are major concerns in 2024, prompting the need for safeguards and adjustments.
- New technologies like VASA from Microsoft and emo from Alibaba are generating life-like audio-driven talking faces in real time.
- The rapid development of AI models is evident with hugging face crossing over 1 million hosted AI models.
- There is anticipation for the integration of AI models into real-world scenarios by the second half of 2024 and into 2025.
- Potential applications of realistic-looking educational content through AI technology are being explored, offering engaging courses with less production effort.
Personalized Education and Practical AI Webinars
36:47 - 41:00
- Personalized education through AI could provide individualized support for students.
- Practical AI webinars are being conducted to enhance learning experiences with hands-on components.
- Upcoming webinar on multi-modal AI will focus on video, imagery, and text prompts integration.