Customization has long been a key element of the Bentley experience and now the luxury automaker is taking that to a new level with'adaptive music'. Developed in partnership with LifeScore, Bentley is the first company to apply this technology to a car, creating algorithms that use specific driving inputs to influence the type of music that is created. Music is sourced from a library of audio elements that have been recorded at Abbey Road Studios through 50 microphones in full sphere surround sound and more than 100 billion unique music tracks can be turned into a sixty-minute driving soundtrack. So how does it work exactly? Say you're driving through town, the system monitors this and creates a suitably calm soundtrack and once you've tapped into a sportier driving mode, the music becomes much more energetic, reading things like gear changes and acceleration to create the perfect audio complement to your driving style.
Swedish luxury automobile manufacturer Volvo Cars and leading ICT provider Ericsson have taken an important step towards achieving seamless cross-border 5G connectivity in vehicles. Partners in the EU-backed 5GCroCo project, the two companies successfully tested the handover of connected cars between two national mobile 5G networks. The trial took place at the AstaZero test site in Sweden. The track has testing capabilities for different traffic environments, making it possible to assess advanced safety systems for all kinds of traffic situations. It features a 5.7 km rural road, a city area, a high-speed area and a multi-lane road.
The transaction provided Luminar with the infusion of capital it needed to begin producing lidar sensors that use lasers to measure distances and classify objects for self-driving vehicles at a commercial scale, according to Chief Financial Officer Tom Fennimore. As a public company, however, Luminar must be mindful of how it spends the cash, he added. Luminar has positioned itself in recent years to benefit from the expected rise of autonomous vehicles. It has announced partnerships with car makers including Volvo Cars, which is owned by China's Zhejiang Geely Holding Group, Daimler AG's trucks business and SAIC Motor Corp. Ltd. to incorporate its sensor technology into self-driving vehicle designs. The Morning Ledger provides daily news and insights on corporate finance from the CFO Journal team.
Quanergy Systems, the Sunnyvale, California-based lidar company, said Tuesday it has agreed to merge with special purpose acquisition fund CITIC Capital Acquisition Corp., a Chinese blank-check firm affiliated with the country's largest state-owned investment conglomerate. The deal, which puts an implied valuation on Quanergy at $1.4 billion, is expected to close in the second half of 2021. After closing, the transaction will inject the lidar company with around $278 million in pro forma net cash, including $40 million in private investment in public equity (PIPE) funding. Lidar is an essential component of most autonomous driving systems -- the notable exception being Tesla's stack, which is attempting to develop a pure vision-based system to support its pursuit of automated driving (Tesla vehicles are not autonomous today and have what is considered a Level 2 advanced driver assistance system). Quanergy is a developer of solid state silicon lidar units, which pulses a low-power laser through an optical phased array to measure the distance and shape of objects.
Tesla's Senior Director of AI, Andrej Karpathy, unveiled the electric vehicle automaker's new supercomputer during a presentation at the 2021 Conference on Computer Vision and Pattern Recognition (CVPR). Last year, Elon Musk highlighted Tesla's plans to build a "beast" of a neural network training supercomputer called "Dojo". For several years, the company has been teasing its Dojo supercomputer, which Musk has hinted will be the world's fastest supercomputer, outperforming the current world leader, Japan's Fugaku supercomputer which runs at 415 petaflops. The new supercomputer seems to be a predecessor to the Dojo project, with Karpathy stating that it is the number five supercomputer in the world in terms of floating-point operations per second (FLOPS). This supercomputer is certainly not lacking in the processing department.
Elon Musk, the founder of Tesla announced to hold "Artificial Intelligence Day" for a month to showcase the progress in the new software and hardware related to artificial intelligence. The main aim behind hosting such a program is to recruit new talents for AI technology. The CEO writes on Twitter," Looking at holding Tesla AI Day in about a month or so. Will go over progress with Tesla AI software & hardware, both training & inference. Andrew Karpathy, AI director of Tesla gave a presentation on the efforts of the company towards computer vision in building autonomous driving systems. For which Elon Musk tweeted, "In general, anyone interested in tackling the problem of physical word AI should consider joining Tesla.
It's hard to keep up with the fundraising spree in China's autonomous driving industry these days. Guangzhou- and California-based robotaxi company WeRide, which counts Renault-Nissan-Mitsubishi Alliance as one of its strategic investors, has raised over $600 million in just under five months from its Series B and C financing rounds. The four-year-old upstart said in May that its valuation leaped to $3.3 billion in its Series C fundraising. WeRide has kept details of the backing to itself until today when it disclosed the investment was a lofty sum of $310 million from Alliance Ventures, a strategic venture capital fund operated by Renault-Nissan-Mitsubishi, China Structural Reform Fund, a Chinese state-owned private equity fund, and Pro Capital, which manages China's CDB Equipment Manufacturing Funds. It's unclear how much WeRide has raised since its inception as some of its investments were undisclosed.
Rapid and widespread adoption of EV has been impeded by consumers' anxiety over the reliability of batteries, limited autonomous options, and many other issues. Now the automotive market is being flooded with new players, giving the due spotlight to the importance of electric vehicle options. Consequently, the competition with some of the big giants sitting on the top of this sector is leading to highly advanced technologies being integrated into EVs and leaving all the worries of the consumers at the bay. With Resources shrinking and environmental pressures soaring, it is not a surprise that the world is seeking other and better alternatives. Countries like, The UK, France, Norway and Germany have even brought in legislation to ban the sales of non-electric vehicles as early as 2025.
In the latest study, researchers mapped out the physics of small building blocks made up of atoms, then used machine learning techniques to estimate how larger structures created from those same building blocks might behave. It's a bit like looking at a single Lego brick to try to predict the strength of a much larger castle. It's a pursuit that could be a boon for the electronics that underpin our daily lives, from smartphones and electric cars to emerging quantum computers. One day, engineers could use the team's methods to pinpoint in advance weak points in the design of electronic components. The project is part of a larger focus on how the world of very small things, such as the wiggling of atoms, can help people build new and more efficient computers--even ones that take their inspiration from human brains. Artem Pimachev, a research associate in aerospace engineering at CU Boulder, is a co-author of the new study.
Artificial intelligence (AI) is used in a wide variety of products and services, including maps embedded on our smart phones and "chat bots" that help answer our questions on websites. Many hope that AI will transform our economy in ways that drive growth, similar to how steam engines did in the late 19th century and electricity did in the early 20th century. But it is hard to imagine that maps on smart phones, chatbots, and other existing AI-enabled services will drive the type of economic growth we saw from stream and electricity. What we need to see are some dramatic new AI-enabled products and services that transform our way of life--in short, we are waiting for an AI "killer app." Autonomous vehicles (AVs)--vehicles that accelerate, brake, and turn on their own, requiring little or no input from a human driver--may be such a killer app that transforms our economy significantly.