Researchers at NASAs Armstrong Center are advancing an atmospheric probe for potential space missions.
Utilizing innovative designs based on past aircraft research, the team has successfully tested the probe, planning further improvements to increase its functionality and data-gathering capabilities.
Researchers at the University of Virginia have made significant advancements in understanding how heat flows through thin metal films, critical for designing more efficient computer chips.
This study confirms Matthiessen’s rule at the nanoscale, enhancing heat management in ultra-thin copper films used in next-generation devices, thereby improving performance and sustainability.
The LOREX experiment utilizes lorandite ore to gauge historical solar neutrino flux, revealing insights about the Sun’s development and climatic effects through advanced decay rate measurements.
The Sun, Earth’s life-sustaining powerhouse, generates immense energy through nuclear fusion while emitting a steady stream of neutrinos — subatomic particles that reveal its inner workings. While modern neutrino detectors shed light on the Sun’s current behavior, key questions remain about its stability over millions of years — a timeframe encompassing human evolution and major climate changes.
Addressing these questions is the mission of the LORandite EXperiment (LOREX), which depends on accurately determining the solar neutrino cross-section for thallium. An international team of scientists has now achieved this crucial measurement using the unique Experimental Storage Ring (ESR) at GSI/FAIR in Darmstadt. Their groundbreaking results, advancing our understanding of the Sun’s long-term stability, have been published in the journal Physical Review Letters.
Research utilizing AI tool AlphaFold has revealed a new protein complex that initiates the fertilization process between sperm and egg, shedding light on the molecular interactions essential for successful fertilization.
Genetic research has uncovered many proteins involved in the initial contact between sperm and egg. However, direct proof of how these proteins bind or form complexes to enable fertilization remained unclear. Now, Andrea Pauli’s lab at the IMP, working with international collaborators, has combined AI-driven structural predictions with experimental evidence to reveal a key fertilization complex. Their findings, based on studies in zebrafish, mice, and human cells, were published in the journal Cell.
Fertilization is the first step in forming an embryo, starting with the sperm’s journey toward the egg, guided by chemical signals. When the sperm reaches the egg, it binds to the egg’s surface through specific protein interactions. This binding readies their membranes to merge, allowing their genetic material to combine and create a zygote—a single cell that will eventually develop into a new organism.
SpaceX’s next Starship megarocket now has a license to fly.
The U.S. Federal Aviation Administration (FAA) on Tuesday (Dec. 17) issued a launch license for SpaceX’s upcoming Starship Flight 7 test flight, clearing the way for the company’s next launch of the world’s largest rocket from South Texas. The launch license comes on the heels of several Starship engine tests by SpaceX to check the flight readiness of its seventh Ship spacecraft and Super Heavy rocket booster.
Distant, ancient galaxies are giving scientists more hints that a mysterious force called dark energy may not be what they thought.
Astronomers know that the universe is being pushed apart at an accelerating rate and they have puzzled for decades over what could possibly be speeding everything up. They theorize that a powerful, constant force is at play, one that fits nicely with the main mathematical model that describes how the universe behaves. But they can’t see it and they don’t know where it comes from, so they call it dark energy.
It is so vast it is thought to make up nearly 70% of the universe—while ordinary matter like all the stars and planets and people make up just 5%.
In 1956, a group of pioneering minds gathered at Dartmouth College to define what we now call artificial intelligence (AI). Even in the early 1990s when colleagues and I were working for early-stage expert systems software companies, the notion that machines could mimic human intelligence was an audacious one. Today, AI drives businesses, automates processes, creates content, and personalizes experiences in every industry. It aids and abets more economic activity than we “ignorant savages” (as one of the founding fathers of AI, Marvin Minsky, referred to our coterie) could have ever imagined. Admittedly, the journey is still early—a journey that may take us from narrow AI to artificial general intelligence (AGI) and ultimately to artificial superintelligence (ASI).
As business and technology leaders, it’s crucial to understand what’s coming: where AI is headed, how far off AGI and ASI might be, and what opportunities and risks lie ahead. To ignore this evolution would be like a factory owner in 1900 dismissing electricity as a passing trend.
Let’s first take stock of where we are. Modern AI is narrow AI —technologies built to handle specific tasks. Whether it’s a large language model (LLM) chatbot responding to customers, algorithms optimizing supply chains, or systems predicting loan defaults, today’s AI excels at isolated functions.
One of the biggest uncertainties in the ongoing AI revolution is whether these systems can legally be trained on copyrighted data. Now, the UK says it plans to clarify the matter with a change to the law.