The Japanese government is planning to connect major cities with automated zero-emissions logistics links that can quietly and efficiently shift millions of tons of cargo, while getting tens of thousands of trucks off the road.
Category: transportation – Page 49
Disruptive innovations in technology, such as humanoid robots and electric vehicles, will lead to significant changes in labor, economy, and society, posing both opportunities and challenges for the future.
Questions to inspire discussion.
What are the predictions about the future of electric vehicles?
—The video discusses accurate predictions made by Tony Seba and his team about the future of EVs, which the media has not reported on.
Kinetic Automation utilizes computer vision and machine-learning software for diagnosing and recalibrating advanced vehicle systems.
Human visual neurons rely on event-driven, energy-efficient spikes for communication, while silicon image sensors do not. The energy-budget mismatch between biological systems and machine vision technology has inspired the development of artificial visual neurons for use in spiking neural network (SNN). However, the lack of multiplexed data coding schemes reduces the ability of artificial visual neurons in SNN to emulate the visual perception ability of biological systems. Here, we present an artificial visual spiking neuron that enables rate and temporal fusion (RTF) coding of external visual information. The artificial neuron can code visual information at different spiking frequencies (rate coding) and enables precise and energy-efficient time-to-first-spike (TTFS) coding. This multiplexed sensory coding scheme could improve the computing capability and efficacy of artificial visual neurons. A hardware-based SNN with the RTF coding scheme exhibits good consistency with real-world ground truth data and achieves highly accurate steering and speed predictions for self-driving vehicles in complex conditions. The multiplexed RTF coding scheme demonstrates the feasibility of developing highly efficient spike-based neuromorphic hardware.
A spiking neural network that is based on event-driven vision sensors can be created using two parallel photodiodes of opposite polarities that output programmable spike signal trains in response to changes in light intensity.
face_with_colon_three year 2021.
The solar aircraft is made by a Spanish-American aerospace startup called Skydweller Aero. Based in Oklahoma City, the company raised $32 million in its Series A funding round, led by Italian aerospace firm Leonardo.
“For us, if you’re flying 90 days with one aircraft, that’s two takeoffs and landings versus … hundreds,” Skydweller Aero co-founder John Parkes told Aviation Today. “Being able to fly thousands of miles, persist over an area for 30–60 days and fly back is a differentiator. It’s a huge cost savings to the US government when you look at the whole cost of doing a lot of the national security missions that we have.”
The plane will stay airborne thanks to 2,900 square feet of photovoltaic cells that will blanket its surface, generating up to 2 kilowatts of electricity. As a backup in case it’s cloudy for a few days in a row, the plane will also be equipped with hydrogen fuel cells (maybe they’re not as “extremely silly” as Elon Musk thinks).
Tesla’s development of AI-powered self-driving cars has the potential to revolutionize transportation, disrupt labor, and create significant value in the market.
Questions to inspire discussion.
What is Tesla’s approach to AI-powered self-driving cars?
—Tesla’s approach involves convergence of AI hardware for cars and robots, with a focus on maximizing hardware and software interplay for real world AI products.
For more than 15 years, a group of scientists in Texas have been hard at work creating smaller and smaller devices to “see” through barriers using medium-frequency electromagnetic waves — and now, they seem closer than ever to cracking the code.
In an interview with Futurism, electrical engineering professor Kenneth O of the University of Texas explained that the tiny new imager chip he made with the help of his research team, which can detect the outlines of items through barriers like cardboard, was the result of repeat advances and breakthroughs in microprocessor technology over the better half of the last two decades.
“This is actually similar technology as what they’re using at the airport for security inspection,” O told us.
Reconstructing a scene using a single-camera viewpoint is challenging. Researchers have deployed generative artificial intelligence (AI) to achieve this. However, the models can hallucinate objects when determining what is obscured.
An alternate approach is to use shadows in a color image to infer the shape of the hidden object. However, the method falls short when the shadows are hard to see.
To overcome these limitations, the MIT researchers used a single-photon LiDAR. A LiDAR emits pulses of light, and the time it takes for these signals to bounce back to the sensor creates a 3D map of a scene.
A group that says they hacked software company CDK Global is demanding tens of millions of dollars in ransom, Bloomberg reported.
CDK, which provides software to car dealerships in North America, intends to pay the ransom but discussions are subject to change, according to Bloomberg’s report which cited a person familiar with the situation.
The source said the group behind the hack is believed to be based in eastern Europe, Bloomberg reported.