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Archive for the ‘transportation’ category: Page 17

Jun 29, 2024

Monster 310-mile automated cargo conveyor will replace 25,000 trucks

Posted by in categories: government, robotics/AI, transportation

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.

Jun 26, 2024

The Future of Technology: Impact on Labor, Economy, and Society

Posted by in categories: economics, robotics/AI, sustainability, transportation

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.

Continue reading “The Future of Technology: Impact on Labor, Economy, and Society” »

Jun 26, 2024

Startup unveils robotic system that use AI-eyes to fix EV damages

Posted by in categories: robotics/AI, transportation

Kinetic Automation utilizes computer vision and machine-learning software for diagnosing and recalibrating advanced vehicle systems.

Jun 25, 2024

An artificial visual neuron with multiplexed rate and time-to-first-spike coding

Posted by in categories: biological, robotics/AI, transportation

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.

Jun 25, 2024

Computational event-driven vision sensors for in-sensor spiking neural networks

Posted by in categories: robotics/AI, transportation

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.

Jun 23, 2024

This Autonomous Solar-Powered Aircraft Will Fly for 90 Days Straight

Posted by in categories: Elon Musk, government, robotics/AI, security, sustainability, transportation

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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.

Continue reading “This Autonomous Solar-Powered Aircraft Will Fly for 90 Days Straight” »

Jun 23, 2024

Tesla’s AI Self-Driving Cars: Revolutionizing Transportation and Labor

Posted by in categories: robotics/AI, transportation

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.

Continue reading “Tesla’s AI Self-Driving Cars: Revolutionizing Transportation and Labor” »

Jun 23, 2024

Scientists Invent Smartphone Chip That Peers Through Barriers With Electromagnetic Waves

Posted by in categories: computing, mobile phones, security, transportation

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.

Jun 22, 2024

MIT’s new 3D shadow models can help autonomous vehicles drive better

Posted by in categories: robotics/AI, transportation

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.

Jun 22, 2024

CDK hackers demand millions to end cyberattack crippling auto dealers: Bloomberg

Posted by in categories: cybercrime/malcode, transportation

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.

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