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San Mateo, Calif.-based Alef Aeronautics has unveiled the world’s first commercially available flying car, the Alef Model A.

A prototype model made a test flight on 19 February 2025 on a blocked-off road in California. According to Alef’s chief executive officer, Jim Dukhovny, the test was “the first documented verifiable flight of a flying car (an actual car, with vertical takeoff, non-tethered.)”

Much more than just a toy or a concept vehicle from science fiction, the Alef Model A has attracted significant interest and support, proving the validity and potential of its design. Its basic plan is that it can drive on the road like any car, have vertical takeoff and landing capabilities, and fly in a forward motion. The company also announced a goal for the vehicle to be “affordable for most people.”

In a new Nature Communications study, researchers have developed an in-memory ferroelectric differentiator capable of performing calculations directly in the memory without requiring a separate processor.

The proposed differentiator promises energy efficiency, especially for edge devices like smartphones, autonomous vehicles, and security cameras.

Traditional approaches to tasks like image processing and motion detection involve multi-step energy-intensive processes. This begins with recording data, which is transmitted to a memory unit, which further transmits the data to a microcontroller unit to perform differential operations.

Tesla is preparing to launch an innovative robo-taxi network in Austin next month, supported by a new affordable Model Y and favorable federal regulations for self-driving vehicles ## ## Questions to inspire discussion ## Tesla’s Robo Taxi Network.

🚗 Q: When and where is Tesla launching its robo taxi network? A: Tesla’s robo taxi network is set to launch in Austin, Texas in June, marking a significant milestone for the company’s self-driving technology.

🤖 Q: How will the robo taxi network impact Tesla’s valuation? A: The successful launch could potentially double Tesla’s stock valuation to over **$1 trillion, validating its unique approach to self-driving vehicles. Cost and Production Advantages.

💰 Q: How does Tesla’s self-driving system compare to competitors in terms of cost? A: Tesla’s AI-based self-driving system is significantly cheaper, with a per-mile cost of $0.10 compared to **$0.50-$1.00 for human-driven rides offered by competitors like Whim and Uber.

🏭 Q: What production advantage does Tesla have over competitors? A: Tesla’s mass production capability of 2 million cars per year gives it a significant advantage over competitors like Whim, which operates with a limited fleet of 1,500 cars. Marketing and Revenue Generation.

📈 Q: How will the robo taxi network benefit Tesla’s marketing efforts? A: The network will serve as a unique marketing channel, allowing customers to experience self-driving rides firsthand, making it easier for Tesla to sell its cars and reach scale.

Tesla is preparing to launch an affordable vehicle and a robo-taxi service, highlighted by the upcoming Project Alicorn software update and the new Model Y long-range, aimed at enhancing user experience and meeting market demands ## ## Questions to inspire discussion ## Tesla’s New Affordable Vehicle.

🚗 Q: What are the key features of Tesla’s upcoming affordable vehicle? A: Expected to launch in first half of 2024, it will be a lower, more compact version of the Model Y, possibly a hatchback, with a starting price of $44,990 in the US.

🏎️ Q: How does the new rear-wheel drive Model Y compare to previous models? A: It offers 20 miles more range, faster 0–60 time, and all-new features like improved speakers and sound system, making it a bargain at $44,990. Robotaxi Functionality.

🤖 Q: What is Tesla’s robotaxi project called and what features will it have? A: Called Project Alicorn, it will allow users to confirm pickup, enter destination, fasten seatbelt, pullover, cancel pickup, and access emergency help.

📱 Q: What additional features are coming to the robotaxi app? A: Upcoming features include smart summon without continuous press, live activities, trip summary screen, ability to close the trunk, rate the ride, and access outside service area help.

🚕 Q: How might Tesla expand its robotaxi service to non-driverless markets? A: The app includes a “call driver” button, potentially allowing non-driverless markets to join the ride-share network, though this strategy is unclear. CyberCab Production.

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Scientists from the Faculty of Physics and Applied Informatics at the University of Lodz have published an article on friction in the journal Small. Their research on “bismuth islands” moving on the surface of graphite confirmed the existence of a totally new form of so-called superlubricity—a friction-free contact between two solid bodies.

This discovery could revolutionize the way we design nanoscale machines, and even vehicles, in the future. By understanding these processes, we can create devices that can operate much more efficiently, saving on energy and resources.

Scientists led by Dr. Hab. Paweł Kowalczyk, associate professor at the University of Lodz, have discovered a new phenomenon related to the disappearance of friction—superlubricity. This special phenomenon was observed at the contact of two solid materials, bismuth and graphite.

Aluminum alloys are widely used in transportation applications because of their high strength-to-weight ratio, as well as their affordability. However, challenges arise when using them in extremely high-strength and high-temperature applications, particularly in components such as pistons of combustion engines, fan blades of jet engines, and vacuum pumps.

At elevated temperatures, few aluminum alloys can block dislocation movements effectively, which controls the strength. Moreover, few of the designs have considered costs and sustainability metrics in the design, which are essential for high-demand industries. Titanium alloys, such as Ti-64, that are often used in fan blades, are not only heavier and not machinable, but also nearly twice as expensive.

Additive manufacturing (AM) is rapidly evolving and providing new pathways for designing innovative alloys. A recent study by Carnegie Mellon University and the Massachusetts Institute of Technology (MIT) researchers has utilized and optimization techniques to identify a new aluminum alloy system that balances strength and cost.