We’re releasing a guide for teachers using ChatGPT in their classroom—including suggested prompts, an explanation of how ChatGPT works and its limitations, the efficacy of AI detectors, and bias.
Teaching with AI
Posted in education, robotics/AI
A neonatal hypoxic-injury animal model revealed that CK2α mediated Daam2 phosphorylation, which plays a protective role in developmental and behavioral recovery after neonatal hypoxia, a form of brain injury seen in cerebral palsy and other conditions. Additionally, it facilitates remyelination after white matter injury in adult animals.
Together, these findings have identified a novel regulatory node connecting CK2α and Daam2 in the Wnt pathway that regulates stage-specific oligodendrocyte development and offers insights into a new biological mechanism to regenerate myelin.
“This study opens exciting therapeutic avenues we could develop in the future to repair and restore myelin, which has the potential to alleviate and treat several neurological issues that are currently untreatable,” Lee said.
We live in an analog world of continuous information flow that is both processed and stored by our brains at the same time, but our devices process information digitally in the form of discrete binary code, breaking the information into little bits (or bites).
Researchers at EPFL have revealed a pioneering technology that combines the potential of continuous analog processing with the precision of digital devices. By seamlessly integrating ultra-thin, two-dimensional semiconductors with ferroelectric materials, the research, published in Nature Electronics, unveils a novel way to improve energy efficiency and add new functionalities in computing. The new configuration merges traditional digital logic with brain-like analog operations.
The innovation from the Nanoelectronics Device Laboratory (Nanolab), in collaboration with Microsystems Laboratory, revolves around a unique combination of materials leading to brain-inspired functions and advanced electronic switches, including the standout negative capacitance Tunnel Field-Effect Transistor (TFET).
SpaceX has released more photos of the epic Aug. 25 static fire test of its Starship Super Heavy booster, which is being prepped for liftoff.
Starship is getting close to its second Integrated Flight Test (IFT). Booster 9 completed its pre-flight testing and now awaits its partner for the second launch. Since Ship 25 was already tested months ago, this only leaves full stack testing and pending regulatory approval for the second flight.
Booster 9
After the initial static fire of Booster 9 on August 6 was not entirely successful, SpaceX performed another fire on August 25. During the first fire, four engines performed a shutdown prematurely, aborting the full static fire after 2.74 seconds, out of the expected duration of just under five seconds.
Get information on the Smart Lander for Investigating Moon (SLIM). The Japan Aerospace Exploration Agency (JAXA) performs various activities related to aerospace as an organization, from basic research in the aerospace field to development and utilization.
High-speed drone racing has just had a shocking “Deep Blue” moment, as an autonomous AI designed by University of Zurich researchers repeatedly forced three world champion-level pilots to eat its dust, showing uncanny precision in dynamic flight.
If you’ve ever watched a high-level drone race from the FPV perspective, you’ll know how much skill, speed, precision and dynamic control it takes. Like watching Formula One from the driver’s perspective, or on-board footage from the Isle of Man TT, it’s hard to imagine how a human brain can make calculations that quickly and respond to changing situations in real time. It’s incredibly impressive.
When Deep Blue stamped silicon’s dominance on the world of chess, and AlphaGo established AI’s dominance in the game of Go, these were strategic situations, in which a computer’s ability to analyze millions of past games and millions of potential moves and strategies gave them the edge.
Scientists discovered that the harmful “forever chemicals” known as PFAS were present in paper and bamboo drinking straws.
Less than a year into the AI boom and startups are already grappling with what may become an industry reckoning.
Take Jasper, a buzzy AI startup that raised $125 million for a valuation of $1.5 billion last year — before laying off staff with a gloomy note from its CEO this summer.
Now, in a provocative new story, the Wall Street Journal fleshes out where the cracks are starting to form. Basically, monetizing AI is hard, user interest is leveling off or declining, and running the hardware behind these products is often very expensive — meaning that while the tech does sometimes offer a substantial “wow” factor, its path to a stable business model is looking rockier than ever.
The abilities of artificial intelligence (AI) systems are advancing at an astounding rate, nearing or bettering what humans can do in simulations and test environments.
Setting aside the ethical and environmental concerns around AI and those of autonomous drones for a minute, we can marvel at this latest feat: an AI-controlled drone system that beat three professional drone pilots in a series of head-to-head races, winning more often than not.
Swift is the name of the autonomous system, which outmaneuvered the world-champion human pilots in 15 of the 25 races, on a track full of sweeping turns and screeching pivots designed by a professional drone-racing pilot.