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Yurii Yakovlev
Chief AI Officer, Entrepreneur with experience in custom AI solutions, blockchain, fintech, large scale systems, cloud engineering, technical architecture, web and mobile development.
Yurii Yakovlev is the Chief AI Officer at Zazmic Inc, a US-based company that specializes in development, operations, cloud infrastructure, and security solutions.4 He is an entrepreneur with extensive experience in custom AI solutions, blockchain, fintech, large-scale systems, cloud engineering, and technical integration.23
Yakovlev's background includes:
- Over 15 years of experience as a Software Engineer working on projects across the full product lifecycle using Agile methodologies.1
- In-depth knowledge of software engineering best practices, including coding standards, code reviews, source control management, continuous integration, build processes, testing, and operations.1
- A proven track record in developing mobile and web-based applications, customer success, technical integration, process and system improvements, product management, and business analysis.1
At Zazmic, Yakovlev has taken on multiple roles, from initiating projects and strategic development to team staffing and management, consistently ensuring successful project delivery.1 His LinkedIn username is yuriyyakovlev, where he regularly shares insights on AI, GenAI, and the future of technology.235
Highlights
Finally, you won't need to look for a partner to play table tennis (or an employee to work at your company).
Google's Deep Mind recently presented an AI-powered robot that can play table tennis, and it's pretty good at it!
In 29 games with players of different skill levels, the robot got 45% of wins. That is a great result, considering how hard it is (or should I say "was"?) to achieve a certain level of agility and precision in robots.
What does this mean for all of us? Robotics research achieved a new milestone, and I assume the implications will be transformative.
✔ Now robots have the potential to master complex, physically demanding tasks traditionally requiring years of human training. This means soon, we will be able to "build" skilled workers who can perform complicated and dangerous tasks instead of humans.
✔ The robot’s ability to compete effectively against players with different skill levels can improve human-robot interaction. It opens possibilities for robots to engage in collaborative or competitive scenarios with humans, enhancing the interaction and integration of robotic systems in everyday activities.
✔ A hierarchical and modular policy architecture used to train the robot could be generalized to different domains, potentially transforming how robots are trained and adapted for a wide range of applications, from sports to industrial tasks.
One thing is for sure: This robot is not just about taking entertainment to a new level; it's about transforming the way robots can operate in the human environment and solve real-world problems.
What are your thoughts on AI-powered robots? Would you replace certain workers with robots? Let's discuss in the comments 👇
Credit: GoogleDeepMind
#AI #Robotics #ML
AI may sound confident when answering your questions, but is it accurate?
We all know that AI can "hallucinate" sometimes.
That's why so many people still see it as somewhat unreliable and untrustworthy.
But there's a way to fix that!
Retrieval-augmented generation (RAG) is here to help AI provide accurate and relevant information to user queries.
Let's explore what RAG is and why you should care about it.
#RAG #AI
