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As information and communication technologies (ICT) process data, they convert electricity into heat. Already today, the global ICT ecosystem’s CO2 footprint rivals that of aviation. It turns out, however, that a big part of the energy consumed by computer processors doesn’t go into performing calculations. Instead, the bulk of the energy used to process data is spent shuttling bytes between the memory to the processor.

In a paper published in the journal Nature Electronics, researchers from EPFL’s School of Engineering in the Laboratory of Nanoscale Electronics and Structures (LANES) present a new processor that tackles this inefficiency by integrating data processing and storage onto a single device, a so-called in-memory processor.

They broke new ground by creating the first in-memory processor based on a two-dimensional to comprise more than 1,000 transistors, a key milestone on the path to industrial production.

“This is the first project of its kind to incorporate a social component into a traffic control system.”

Vehicle pollution is a significant contributor to air pollution worldwide making it both a global and local problem.


A researcher is using machine learning to create traffic light management systems that are socially and environmentally conscious making them ideal at lessening emissions from vehicles.

Hyundai Motor Group, the world’s third-biggest automaker by sales, plans to build a facility in the U.S. where its air mobility division Supernal will make flying electric taxis intended to be used by commuters.

A prototype of the electric vertical takeoff and landing craft will be shown at CES in Las Vegas in January, Supernal Chief Executive Officer Shin Jaiwon said.

The eVTOL taxi will be capable of flying at 120 miles an hour (190 kph) and have capacity for one pilot and four passengers. December 2024 is the target for a test flight, with ambitions to start commercial service four years later, Shin said in an interview this week with Bloomberg News in Singapore.

Kynikos Associates founder and legendary short seller Jim Chanos has highlighted the disparity between the public perception and actual performance of Tesla Inc. TSLA.

What Happened: In an interview with the Institute for New Economic Thinking, Chanos pointed out a common misbelief held by many Tesla admirers. He said the electric vehicle giant is seen as a multi-faceted entity — an AI firm, an alternative energy business, and a robotics organization.

This image, Chanos argues, is a result of Elon Musk’s compelling portrayal of Tesla as a future-focused company.

Earlier, CEO Elon Musk had expressed some caution regarding the production of the highly anticipated Cybertruck.


Tesla.

According to the video by TFLEV(via Electrek), the Tesla Cybertruck will have a length of 18.6 feet, a width of 79.9 inches (without mirrors), and a height of 70.5 inches (at medium setting). The wheelbase will be 143 inches, and the curb weight will range from 6,670 lbs for the dual-motor version to 6,890 lbs for the tri-motor version. The truck will also have a towing capacity of 11,000 lbs and a maximum tongue weight of 1,110 lbs.

The robot dog that helped the LAPD end the standoff on Wednesday was one of the controversial devices that the Los Angeles City Council had approved for use by the police department earlier this year.


Boston Dynamics/ ONSCENE TV

The incident began around 3:45 am on Wednesday when a fellow passenger spotted a gun at the feet of a man who seemed to be asleep on the bus, the Los Angeles Police Department said.

It’s no secret that foundation models have transformed AI in the digital world. Large language models (LLMs) like ChatGPT, LLaMA, and Bard revolutionized AI for language. While OpenAI’s GPT models aren’t the only large language model available, they have achieved the most mainstream recognition for taking text and image inputs and delivering human-like responses — even with some tasks requiring complex problem-solving and advanced reasoning.

ChatGPT’s viral and widespread adoption has largely shaped how society understands this new moment for artificial intelligence.

The next advancement that will define AI for generations is robotics. Building AI-powered robots that can learn how to interact with the physical world will enhance all forms of repetitive work in sectors ranging from logistics, transportation, and manufacturing to retail, agriculture, and even healthcare. It will also unlock as many efficiencies in the physical world as we’ve seen in the digital world over the past few decades.