Prince Rupert’s Drop | Cal Breed

Eleven years of wonder, exploration, observation, study, making, remaking, and countless hours of grinding and polishing.  Oftentimes, in the grueling tension of  discovery, beauty emerges in so many ways.  Thanks for taking the time to wonder what emerged from our collaboration with Destin and Smarter Every Day.  Cal has created twenty signed and serialized  Prince Rupert’s Drop-inspired pieces entitled, The Beauty in Tension – gradually he will produce more.

Read the full article at: www.calbreed.com

AI could help to reveal yet undiscovered particles within data from the Large Hadron Collider

 

Scientists used a neural network, a type of brain-inspired machine learning algorithm, to sift through large volumes of particle collision data.

 

For over two decades, the ATLAS particle detector has recorded the highest energy particle collisions in the world within the Large Hadron Collider (LHC) located at CERN, the European Organization for Nuclear Research. Beams of protons are accelerated around the LHC at close to the speed of light, and upon their collision at ATLAS, they produce a cascade of new particles, resulting in over a billion particle interactions per second.

 

Particle physicists are tasked with mining this massive and growing store of collision data for evidence of undiscovered particles. In particular, they’re searching for particles not included in the Standard Model of particle physics, our current understanding of the universe’s makeup that scientists suspect is incomplete.

 

As part of the ATLAS collaboration, scientists at the U.S. Department of Energy’s (DOE) Argonne National Laboratory and their colleagues recently used a machine learning approach called anomaly detection to analyze large volumes of ATLAS data. The method has never before been applied to data from a collider experiment. It has the potential to improve the efficiency of the collaboration’s search for something new. The collaboration involves scientists from 172 research organizations.

 

The team leveraged a brain-inspired type of machine learning algorithm called a neural network to search the data for abnormal features, or anomalies. The technique breaks from more traditional methods of searching for new physics. It is independent of — and therefore unconstrained by — the preconceptions of scientists.

Read the full article at: www.anl.gov

Using design statements in AI-enhanced composition: A small institution’s approach

“When Tiffin University decided to integrate artificial intelligence tools directly into its courses and curriculum, the Center for Online and Extended…”

When Tiffin University decided to integrate artificial intelligence tools directly into its courses and curriculum, the Center for Online and Extended Learning implemented the use of design statements on written assignments. This short-term intervention is the first step in a long-term effort to ensure students learn to use AI tools ethically and responsibly.

Read the full article at: er.educause.edu

Why you’ll soon have a digital clone of your own –

“AI isn’t going to replace you at work. You will …”

Some of the most influential influencers on social media sites aren’t people, but computer-generated digital creations. And soon digital “people” will be commonplace in business. 

In the past, fabricated fake folks were built the old-fashioned way — using Generative Adversarial Networks (GAN) AI technology (the process behind video deepfakes). Nowadays, phony friends are build using LLM-based genAI tools.

One early digital influencer on Instagram, named Lil Miquela, has been 19 years old since 2016, is worth millions of dollars and was named one of the 25 most influential people on the Internet back in 2018, despite not being a person.

Read the full article at: www.computerworld.com

Researchers build AI-driven sarcasm detector | Artificial intelligence (AI) | The Guardian

“Being able to detect lowest form of wit could help AI interact with people more naturally, say scientists …”

Never mind that it can pass the bar exam, ace medical tests and read bedtime stories with emotion, artificial intelligence will never match the marvel of the human mind without first mastering the art of sarcasm.

But that art, it seems, may be next on the list of the technology’s dizzying capabilities. Researchers in the Netherlands have built an AI-driven sarcasm detector that can spot when the lowest form of wit, and the highest form of intelligence, is being deployed.

Read the full article at: www.theguardian.com

Bre Furlong’s Half Empty sums up breastfeeding all too well

The photo series focuses on the ephemera that will be acutely familiar to anyone who’s breastfed, making it relatable and emotionally provocative.

Philadelphia born and raised, Bre Furlong was an experienced commercial photographer working in the ad world before she decided to go freelance at the height of the pandemic. Exactly a week later, she found out she was pregnant. “Since then I’ve been figuring out how to merge my career and motherhood, and with little sleep and lots of espresso, we’re making it happen,” she says.

Read the full article at: www.itsnicethat.com

AI ethics and legal concerns in classrooms | Tech & Learning

“As AI use continues to grow in classrooms, educators need to be aware of the ethics and legal concerns involved …”

The integration of AI-powered resources and tools in education has the potential to reshape the learning landscape, offering personalized insights and rapid feedback. However, with these opportunities come critical ethical and legal concerns that educators must consider.

From unintentional data capture to the perpetuation of biases and misinformation, the risks inherent in AI implementation demand careful attention. In this context, educators play a pivotal role in safeguarding students.

Read the full article at: www.techlearning.com

The teens making friends with AI chatbots

“Teens are opening up to chatbots on Character.AI as a way to explore friendship. But some chatbots, like Psychologist, offer more guidance than they’re qualified to …”

At the time, it seemed like the end of the world. “I used to cry every night,” said Aaron, who lives in Alberta, Canada. (The Verge is using aliases for the interviewees in this article, all of whom are under 18, to protect their privacy.)

Eventually, Aaron turned to his computer for comfort. Through it, he found someone that was available round the clock to respond to his messages, listen to his problems, and help him move past the loss of his friend group. That “someone” was an AI chatbot named Psychologist.

The chatbot’s description says that it’s “Someone who helps with life difficulties.” Its profile picture is a woman in a blue shirt with a short, blonde bob, perched on the end of a couch with a clipboard clasped in her hands and leaning forward, as if listening intently.

Read the full article at: www.theverge.com

Seven of the best AI image generators + sample images

“Tried and tested: These AI image generators consistently delivered the best results. Here’s a look at how they work, how much they cost, and how they handled a specific prompt …”

The use of AI to generate weird and wonderful imagery is definitely my favorite application of the cutting-edge tech.

I’ve tested outAI writing toolsandAI productivity tools, but putting the host of AI image generators through their paces was hands-down the most fun I’ve had in testing tools in ages (and Ilovetesting tools). 

As with other AI tools, there’s no shortage of artificial intelligence image generators in the market. I’m sure by the time this article is published, about 35 more will have just launched that I’ll need to test.

By now, we all know that AI image generators can come up with all sorts of fantastical, eclectic imagery. But since you’re reading the Buffer blog, I’m going to be presumptuous and assume you’re either in marketing, a small business owner, or a creator — and you’re probably looking for a tool that can do something you can actually use in your work. 

Read the full article at: buffer.com

NASA Advances Six Innovative Tech Concepts to New Phase, Including a Lunar Railway System

 

NASA’s Innovative Advanced Concepts program (NIAC) has selected six visionary concept studies for additional funding and development. Each study has already completed the initial NIAC phase, showing their futuristic ideas – like a lunar railway system and fluid-based telescopes – may provide fresh perspectives and approaches as NASA explores the unknown in space.

 

The NIAC Phase II conceptual studies will receive up to $600,000 to continue working over the next two years to address key remaining technical and budget hurdles and pave their development path forward. When Phase II is complete, these studies could advance to the final NIAC phase, earning additional funding and development consideration toward becoming a future aerospace mission.

 

“These diverse, science fiction-like concepts represent a fantastic class of Phase II studies,” said John Nelson, NIAC program executive at NASA Headquarters in Washington. “Our NIAC fellows never cease to amaze and inspire, and this class definitely gives NASA a lot to think about in terms of what’s possible in the future.” 

 

The six concepts chosen for 2024 NIAC Phase II awards are:

  • Fluidic Telescope (FLUTE): Enabling the Next Generation of Large Space Observatories would create a large optical observatory in space using fluidic shaping of ionic liquids. These in-space observatories could potentially help investigate NASA’s highest priority astrophysics targets, including Earth-like exoplanets, first-generation stars, and young galaxies. The FLUTE study is led by Edward Balaban from NASA’s Ames Research Center in California’s Silicon Valley.
  • Pulsed Plasma Rocket: Shielded, Fast Transits for Humans to Mars is an innovative propulsion system that relies on using fission-generated packets of plasma for thrust. This innovative system could significantly reduce travel times between Earth and any destination in the solar system.  This study is led by Brianna Clements with Howe Industries in Scottsdale, Arizona.
  • The Great Observatory for Long Wavelengths (GO-LoW) could change the way NASA conducts astronomy. This mega constellation low-frequency radio telescope uses thousands of autonomous SmallSats capable of measuring the magnetic fields emitted from exoplanets and the cosmic dark ages. GO-LoW is led by Mary Knapp with MIT in Cambridge, Massachusetts.
  • Radioisotope Thermoradiative Cell Power Generator is investigating new in-space power sources, potentially operating at higher efficiencies than NASA legacy power generators. This technology could enable small exploration and science spacecraft in the future that are unable to carry bulky solar or nuclear power systems. This power generation concept study is from Stephen Polly at the Rochester Institute of Technology in New York.
  • FLOAT: Flexible Levitation on a Track would be a lunar railway system, providing reliable, autonomous, and efficient payload transport on the Moon. This rail system could support daily operations of a sustainable lunar base as soon as the 2030s. Ethan Schaler leads FLOAT at NASA’s Jet Propulsion Laboratory in Southern California.
  • ScienceCraft for Outer Planet Exploration distributes Quantum Dot-based sensors throughout the surface of a solar sail, enabling it to become an innovative imager. Quantum physics would allow NASA to take scientific measurements through studying how the dots absorb light. By leveraging the solar sail’s area, it allows lighter, more cost-effective spacecraft to carry imagers across the solar system. ScienceCraft is led by NASA’s Mahmooda Sultana at the agency’s Goddard Space Flight Center in Greenbelt, Maryland.

 

NASA’s Space Technology Mission Directorate funds the NIAC program, as it is responsible for developing the agency’s new cross-cutting technologies and capabilities to achieve its current and future missions.

Read the full article at: www.nasa.gov