Globally, computation is booming at an unprecedented rate, fueled by the boons of artificial intelligence. With this, the staggering energy demand of the world’s computing infrastructure has become a major concern, and the development of computing devices that are far more energy-efficient is a leading challenge for the scientific community.
Category: robotics/AI – Page 820
Researchers use the Dark Energy Spectroscopic Instrument to make the largest 3D map of our universe
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.
First Results from DESI Make the Most Precise Measurement of Our Expanding Universe
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.
A recent study explores how the brain learns to seek reward
Study links dopamine to learning via optogenetics:
A new study reveals dopamine’s role in animal behavior having potential applications in education and artificial intelligence.
Using neuromorphic engineering to reinvent visual processing systems with a biological inspiration
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.
19 Times Impressive Tesla FSD V12 Leaves Drivers in Awe!
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.
Nvidia CEO thinks AI would kill coding, says ‘everybody is now a programmer’
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.
To really grasp AI expectations, look to the trillions being invested
The potential impacts of AI are so far-reaching, no one wants to be faced with the implications of failing to actively participate in molding its future development.