Toggle light / dark theme

DESI Survey announces the most precise measurements of our expanding #universe using the BAO signal in 6.1 Million #galaxies and #Quasars from Year 1, tracing dark energy through cosmic time.


With 5,000 tiny robots in a mountaintop telescope, researchers can look 11 billion years into the past. The light from far-flung objects in space is just now reaching the Dark Energy Spectroscopic Instrument (DESI), enabling us to map our cosmos as it was in its youth and trace its growth to what we see today. Understanding how our universe has evolved is tied to how it ends, and to one of the biggest mysteries in physics: dark energy, the unknown ingredient causing our universe to expand faster and faster.

To study dark energy’s effects over the past 11 billion years, DESI has created the largest 3D map of our cosmos ever constructed, with the most precise measurements to date. This is the first time scientists have measured the expansion history of the young universe with a precision better than 1%, giving us our best view yet of how the universe evolved.

As computer vision (CV) systems become increasingly power and memory intensive, they become unsuitable for high-speed and resource deficit edge applications — such as hypersonic missile tracking and autonomous navigation — because of size, weight, and power constraints.

At the University of Pittsburgh, engineers are ushering in the next generation of computer vision systems by using neuromorphic engineering to reinvent visual processing systems with a biological inspiration — human vision.

Rajkumar Kubendran, assistant professor in Pitt’s Swanson School of Engineering and senior member at the Institute of Electrical and Electronics Engineers (IEEE), received a Faculty Early Career Development (CAREER) award from the National Science Foundation (NSF) for his research on energy-efficient and data-efficient neuromorphic systems. Neuromorphic engineering is a promising frontier that will introduce the next generation of CV systems by reducing the number of operations through event-based computation in a biology-inspired framework.

Tesla’s FSD V12 impresses drivers with its advanced navigation and decision-making capabilities, including navigating complex driving situations and making unexpected decisions.

Questions to inspire discussion.

What is Tesla’s FSD V12?
—Tesla’s FSD V12 is the latest version of their Full Self-Driving software, which includes advanced navigation and decision-making capabilities for autonomous driving.

The 61-year-old explained that learning coding was once an all-important task, but in today’s world, it holds little value. “Over the last 10–15 years, almost everybody who sits on a stage like this would tell you that it is vital that your children learn computer science, everybody should learn how to program. In fact, it is almost exactly the opposite,” he said.

Hindustan Times — your fastest source for breaking news! Read now.

Huang stressed the need to create technologies that allow computers to understand human prompts instead of humans learning languages like C++ and Java. “It is our job to create computing technology such that nobody has to program and that the programming language is human. Everybody in the world is now a programmer. This is the miracle of AI,” he said.

Many of us have seen photos of and read stories about robots working on the production floor in factories, speeding up old-school assembly lines to build products more quickly. And while the robotics trend in manufacturing is continuing to grow, that’s not the only way technology (including artificial intelligence) and automation are impacting the industry.

From enhancing worker safety to more efficiently moving goods and materials from point A to point B, automation is making its mark on the manufacturing industry, and tech experts expect even more changes and improvements in the near future. Below, 17 members of Forbes Technology Council discuss specific manufacturing tasks that are (or soon will be) handled more efficiently, safely and productively by technology and automation.

Have your buffalo wings, save the chicken. Step inside a lab-grown meat factory with us to see the future of food.

Up next, Meet Apollo, the real-life robot who wants to give you more free time | Hard Reset ► • Meet Apollo, the real-life robot who…

Lab-grown meat, cultivated meat, cell-based meat, slaughter-free meat: All of these terms refer to the process of creating real meat from animal cells, despite names that may allude to a vegan product.

What benefits are there to growing meat from chicken cells rather than raising animals for slaughter? Industrial animal agriculture is responsible for an estimated 15 percent of total global greenhouse gas emissions, and with demand for meat projected to double in the next decade, this technology could offer a more sustainable option.

A supersonic drone that will be propelled by a revolutionary new engine has taken to the skies for the first time. When Venus Aerospace’s aircraft does go supersonic on a later date, it will be powered by a Rotating Detonation Rocket Engine (RDRE).

Supersonic drones may sound like something bleeding edge, but they’re surprisingly old hat as a basic concept. As far back as the early 1950s, the US Air Force was fielding remote-controlled supersonic jets for targets to test air defenses, as platforms for reconnaissance in dangerous areas, or as weapons armed with conventional or nuclear warheads.

However, the one thing they’ve all had in common over the past 75 years was a jet engine for propulsion to boost them past Mach 1. In recent years, advances in avionics, aerodynamics, and autonomous systems have allowed uncrewed aircraft to expand their roles, but at their heart, they were still jet propelled.