Recycling energy-transition metals from battery, electric vehicles and renewable energy products offers abundant growth potential.
Category: transportation – Page 43
Tesla’s Full Self-Driving option at one point reached $15,000, then the price dropped to $12,000 and now it’s been cut again.
Year 2023 face_with_colon_three
Honda is among those expecting big things from a new hyper-precise additive manufacturing process for 3D-printed metal car parts.
To save on fuel and reduce aircraft emissions, engineers are looking to build lighter, stronger airplanes out of advanced composites. These engineered materials are made from high-performance fibers that are embedded in polymer sheets. The sheets can be stacked and pressed into one multilayered material and made into extremely lightweight and durable structures.
Tesla has leaked some details about its elusive new Model 3 Performance ‘Ludicrous’, which is expected to launch any day.
The new Model 3 Performance, which could be named ‘Ludicrous’ based on the badges seen on some prototypes, has been expected to launch any day for over a month.
It was confirmed that the automaker was planning a new performance version of the Model 3 Highland with new badges showing up in the updated Tesla parts catalog.
The Automotive in the Software-Driven Era community, part of the DRIVE-A initiative, has identified six key actions crucial for unlocking the full potential of smart road transport infrastructure and, with that, for reaping the potential benefits of the software-defined-vehicle ecosystem. These six actions are based on three principles, collaboration, innovation and efficiency:
Advancing smart infrastructure requires a collaborative effort among involved players. Figure 2, below, provides a collaboration framework and key collaborative areas. Public-private partnerships help build a robust, cohesive and inclusive smart infrastructure network.
Paul Farrell, EVP and Chief Strategy Officer of BorgWarner highlights some of the challenges and importance of such collaborations: “Collaboration around the infrastructure is very complex and multidisciplinary. It involves questions about who owns the data, who supplies the hardware, who installs it and who integrates it into holistic solutions. Yet, it is key to, for example, advance the EV charging infrastructure that the transition to electrification requires.”
Researchers at the University of Bristol have uncovered the secrets behind the quiet operation of futuristic aircraft equipped with innovative embedded engines.
The study sheds light on the noise generation and transmission mechanisms of boundary layer ingesting (BLI) ducted fans. These engines draw in air from both the front and the surface of the aircraft’s body and operate with high efficiency, reducing fuel consumption compared to traditional engines.
Elon Musk and Tesla are confident in their advancements in autonomous driving and robot taxis, with Musk emphasizing the importance of trusting his vision and long-term planning for the success of the company.
Questions to inspire discussion.
What is Elon Musk’s confidence in Tesla’s advancements in autonomous driving?
👉 Researchers have developed a method called Selective Language Modeling (SLM), which trains language models more efficiently by focusing on the most relevant tokens.
Researchers introduce a new method called “Selective Language Modeling” that trains language models more efficiently by focusing on the most relevant tokens.
The method leads to significant performance improvements in mathematical tasks, according to a new paper from researchers at Microsoft, Xiamen University, and Tsinghua University. Instead of considering all tokens in a text corpus equally during training as before, Selective Language Modeling (SLM) focuses specifically on the most relevant tokens.
The researchers first analyzed the training dynamics at the token level. They found that the loss for different token types develops very differently during training. Some tokens are learned quickly, others hardly at all.