**Breakthrough in EV Battery Tech: AI “Prescribes” Medicines for Longer-Lasting Power**

What’s Happening?

Scientists have discovered a revolutionary method to enhance the longevity of electric vehicle (EV) batteries. By deploying machine learning, they identified chemical additives that function as “medicines” to improve battery performance, marking a significant leap in energy storage technology.

Where Is It Happening?

The research was conducted in a leading U.S.-based laboratory, highlighting advancements in domestic clean energy innovation.

When Did It Take Place?

The breakthrough was recently completed, with the study recently published in a scientific journal, showcasing the rapid pace of technological progress.

How Is It Unfolding?

– Researchers used machine learning to analyze a database of 28 chemical additives.
– The model successfully predicted the performance of 125 new combinations of battery enhancers.
– This streamlined process saved an estimated four to six months in research time.
– The findings could revolutionize EV battery production, making high-voltage cells more efficient and durable.

Quick Breakdown

– AI identified effective battery-enhancing chemicals.
– Machine learning bypassed lengthy trial-and-error experiments.
– 125 new combinations were predicted without physical tests.
– Potential for faster, more efficient EV battery development.

Key Takeaways

This breakthrough could redefine the future of EVs, making electric vehicles more reliable and cost-effective. By using AI to accelerate research, scientists are paving the way for faster advancements in battery technology, potentially leading to longer-lasting and more efficient energy storage solutions.

This method is a game-changer. It cuts down on time and resources while significantly improving battery performance. The implications for the EV industry are enormous.

– Dr. Elena Vasquez, Lead Researcher in Energy Innovation

Final Thought

The use of AI to enhance EV battery technology marks a pivotal moment in sustainable energy. This innovation not only speeds up research but also ensures that future electric vehicles are more efficient and dependable. As the world shifts towards cleaner energy, such advancements are crucial in making EVs a mainstream choice for consumers.

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Source & Credit: https://interestingengineering.com/energy/ev-batteries-to-get-energy-medicines

**Hideo Kojima Pushes for More Realism in Death Stranding 2 Characters**

What’s Happening?

Hideo Kojima, the visionary behind Death Stranding 2, reveals his pursuit of hyper-realism. Though the game’s character models are groundbreaking, Kojima admits he’s striving for even more authenticity, even using AI machine learning to enhance celebrity cameos.

What’s Happening?

Kojima has employed advanced AI to integrate lifelike digital versions of his celebrity friends, yet he remains unsatisfied, aiming for greater realism in their portrayals.

Where Is It Happening?

The innovation is happening in the development of Death Stranding 2, with broad implications for the gaming industry.

When Did It Take Place?

The revelations surfaced during discussions surrounding the game’s development, as Kojima continues refining the visual fidelity.

How Is It Unfolding?

• Kojima used AI machine learning to digitize celebrity appearances.
• Despite high-quality models, he seeks even more lifelike renderings.
• The process involves rigorous testing and adjustments.
• This push for realism could redefine gaming standards.

Quick Breakdown

• AI-powered character creation.
• Celebrities appear in Death Stranding 2.
• Kojima demands greater realism.
• Ongoing improvements in character modeling.

Key Takeaways

Hideo Kojima’s relentless pursuit of realism in Death Stranding 2 highlights his uncompromising vision. By leveraging AI, he aims to blur the line between virtual and real, setting a new benchmark for character fidelity in video games. His approach could revolutionize how developers capture authentic human likeness, pushing the boundaries of what’s possible in gaming.

“Kojima’s obsession with hyper-realism might alienate some, but it’s precisely this drive that Cuando audiences to expect the extraordinary.”
– Liam Stahl, Video Game Critic

Final Thought

Hideo Kojima’s determination to perfect digital realism in Death Stranding 2 is both inspiring and ambitious. By challenging the limits of AI and character modeling, he not only elevates his game but also sets a new standard for the entire industry. This pursuit of excellence, though demanding, promises to deliver an unforgettable, lifelike experience that blurs the boundaries of fiction and reality.

Source & Credit: https://www.gamesradar.com/games/action/hideo-kojima-used-an-ai-machine-learning-rig-to-painstakingly-download-his-celebrity-friends-to-death-stranding-2-but-he-wasnt-happy-with-it-i-think-i-want-to-make-it-more-realistic/

From Junior Engineer to AI Trailblazer: How This Former Software Engineer Cracked the ML Code

What’s Happening?

Suvendu Mohanty, a seasoned Amazon ML engineer, is sharing his inspiring journey of transitioning from software engineering to machine learning—a move he made before the current AI surge. His story offers a roadmap for those looking to pivot industries and preempt trends.

Where Is It Happening?

The transition unfolded globally, with Mohanty gaining experience at Amazon, a leading e-commerce and AI innovation hub.

When Did It Take Place?

Mohanty’s move toward machine learning happened before the widespread AI boom, positioning him as an early adopter.

How Is It Unfolding?

– Mohanty began with foundational software engineering roles.
– Recognized the growing potential of AI and machine learning early on.
– Learned key ML skills through online platforms and hands-on projects.
– Transitioned into ML engineering via strategic career moves at Amazon.
– Continues to innovate in the field, guiding others on career pivots.

Quick Breakdown

– Mohanty’s journey highlights the importance of foresight in tech careers.
– He leveraged his software background to break into the ML domain.
– Online courses and project experience were critical in his transition.
– Amazon served as a launchpad for his ML career growth.
– His story underscores adaptability in a rapidly changing tech landscape.

Key Takeaways

Suvendu Mohanty’s career shift from software to machine learning before the AI boom reminds us of the need to stay ahead of industry trends. By leveraging his existing skills, continuous learning, and strategic career decisions, he successfully transitioned and thrived in a new field. His story is a testament to proactive career planning and the power of adapting to technological advancements.

“Being an early adopter in machine learning was like having a backstage pass to the most disruptive tech revolution of our time.”

– Suvendu Mohanty, Amazon ML Engineer

Final Thought

Suvendu Mohanty’s journey illustrates that forging a path in machine learning before its mainstream surge requires vision, preparation, and continuous upskilling. His experience serves as a blueprint for professionals looking to pivot into high-demand tech fields, showing that staying ahead of trends can redefine your career trajectory. It’s a reminder that proactive adaptation is key in the ever-evolving world of technology.

Source & Credit: https://www.businessinsider.com/machine-learning-engineer-amazon-career-change-software-2025-9