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In recent years, engineers and material scientists have been trying to create increasingly advanced battery technologies that are charged faster, last longer, and can store more energy. These batteries will ultimately play a crucial role in the advancement of the electronics and energy sector, powering the wide range of portable devices on the market, as well as electric vehicles.

Lithium-ion batteries (LiBs) are currently the most widespread batteries worldwide, powering most electronics we use every day. Identifying scalable methods to increase the speed at which these batteries charge is thus one of the primary goals in the energy field, as it would not require switching to entirely new battery compositions.

Researchers at Huazhong University of Technology in China recently introduced a new strategy to develop fast-charging LiBs containing a graphite-based material. Their proposed battery design, outlined in a paper published in Nature Energy, was found to successfully speed up the charging time of LiBs, while also allowing them to retain much of their capacity even after they are charged thousands of times.

Last year, Tesla submitted plans to the city of Los Angeles for a charging station equipped with a 24-hour diner and drive-in theater. The electric-car maker plans to build the luxury supercharger station at 7,001 West Santa Monica Boulevard in Hollywood, according to Bloomberg.

Tesla began construction on the project in September, Forbes reported. Musk also provided more details on the project in August after the company’s plans were reportedly approved by the city.

“Our Tesla futuristic diner (Grease meets The Jetsons with Supercharging) in LA should be ready later this year,” Musk wrote on X, formerly known as Twitter.

Leaks from General Motors’ Cruise robotaxi unit reveal some of their plan to rebuild after their failure in San Francisco may involve working in another state like Texas or Arizona, and to continue the pause on deploying their custom-designed robotaxi known as the Origin.


Scaling back and avoiding California and a custom vehicle are, at least for now, the right strategy for Cruise.

Tesla has made its original Roadster design and engineering “fully open source” and released R&D documents accessible to everyone.

The original Tesla Roadster hasn’t been in production for more than a decade now, and we are still waiting for the new generation that was unveiled all the way back in 2017 and has been delayed several times since.

The vehicle has become quite rare.

At this point, Nvidia is widely regarded as the 800 pound gorilla, when it comes to silicon and software for artificial intelligence.


Beyond AI, as I mentioned previously, all of Nvidia’s BUs realized quarterly growth. Though its Automotive group rose a modest 3% to $261M, the company’s automotive design win pipeline is projected at $14 billion in new business (numbers soon to be updated). Automotive design wins have a longer gestation period, and the company has noted that this revenue impact opportunity will begin materializing in 2024 and beyond. Shifting to Nvidia’s Professional Visualization business unit, sequential growth of 9.8% to $416 million was achieved, while the company’s OEM And Other business grew 10.6% to $73 million. Finally, Nvidia’s Gaming group delivered $2.856 billion for the quarter, compared to $2.49 billion in its previous Q2 quarter (up about 15%), and $2.24 billion quarter on quarter from a year ago. Here again, the company’s gaming GPUs and software are widely respected as the performance and feature leaders currently in the PC Gaming industry, though its chief rival AMD is beginning to execute better with its Radeon product line, along with its potent Ryzen CPUs as a 1–2 punch platform solution.

Moving forward, the company guided for a nice round $20 billion for its Q4 FY24 number, representing a projected 11% sequential gain. There will be a bit of headwind of course, from competitors like AMD that is expected to deliver its MI300 GPU AI accelerators in December at its Advancing AI event. That said, it’s going to be a tough slog for all competitors, due to Nvidia’s long-building inertia as the clear leader and incumbent in AI. Another component of the company’s data center silicon portfolio is just coming online now as well, with its Grace-Hopper combined CPU-GPU Superchip, competing for host processor AI data center sockets, which Huang noted is “on a very, very fast ramp with our first data center CPU to a multi-billion dollar product line.”

Any way you slice it, there’s no stopping Nvidia from this level of growth for the foreseeable future, as AI adoption tracks a similar curve. The company continues to execute like a finely tuned machine, and the numbers, as they say, don’t lie.

Volocopter plans to focus on cities expediting infrastructure, routes, regulations, and digital networks, highlighting global economic uncertainties and the crucial role of local partners.


Volocopter.

The eagerly anticipated initiative has been paused due to challenges in securing local partners willing to share the financial responsibility for the cutting-edge technology involved.