Lifeboat Foundation

Why is the warm gas-giant exoplanet WASP-107 b so puffy? Two independent teams of researchers have an answer.

Data collected using NASA’s James Webb Space Telescope, combined with prior observations from NASA’s Hubble Space Telescope, show surprisingly little methane (CH4) in the planet’s atmosphere, indicating that the interior of WASP-107 b must be significantly hotter and the core much more massive than previously estimated.

The unexpectedly high temperature is thought to be a result of tidal heating caused by the planet’s slightly non-circular orbit, and can explain how WASP-107 b can be so inflated without resorting to extreme theories of how it formed.

Powerful new artificial intelligence models sometimes, quite famously, get things wrong—whether hallucinating false information or memorizing others’ work and offering it up as their own. To address the latter, researchers led by a team at The University of Texas at Austin have developed a framework to train AI models on images corrupted beyond recognition.

DALL-E, Midjourney and Stable Diffusion are among the text-to-image diffusion generative AI models that can turn arbitrary user text into highly realistic images. All three are now facing lawsuits from artists who allege generated samples replicate their work. Trained on billions of image-text pairs that are not publicly available, the models are capable of generating high-quality imagery from textual prompts but may draw on copyrighted images that they then replicate.

The newly proposed framework, called Ambient Diffusion, gets around this problem by training diffusion models through access only to corrupted image-based data. Early efforts suggest the framework is able to continue to generate high-quality samples without ever seeing anything that’s recognizable as the original source images.

Apple’s Tim Cook comes in peace. And he wants to sell you a kindler, gentler AI. Except don’t call it that. It’s called “Apple Intelligence.”

Behind the scenes, industrial artificial intelligence is transforming the efficiency and performance of companies. But the bigger picture is the implication for global sustainability.

Embark on a captivating journey through the intricate pathways of the brain. This video delves into the fascinating realm where neuroscience and the philosophy of knowledge converge. Explore how brain structures facilitate learning, the dynamic interplay between cognition and perception, and the profound mysteries of consciousness and self-awareness. Discover the roles of language, emotion, and sensory integration in shaping our reality. Delve into the ethical considerations of brain manipulation and the revolutionary potential of educational neuroscience and brain-computer interfaces. Join us as we push the boundaries of knowledge, uncovering the secrets of the mind and envisioning the future of human cognition.

#Neuroepistemology #BrainScience #Cognition #Neuroplasticity #BrainComputerInterface.

Continue reading “The Brain’s Pathways to Knowledge: Neuroepistemology” »

The Korea Research Institute of Standards and Science (KRISS) has developed a novel quantum sensor technology that allows the measurement of perturbations in the infrared region with visible light by leveraging the phenomenon of quantum entanglement. This will enable low-cost, high-performance IR optical measurement, which previously accompanied limitations in delivering quality results.

Can science finally overcome our ultimate biological limitations?

Sarah Adams (call sign: Superbad) is a former CIA Targeting Officer and author of Benghazi: Know Thy Enemy. Adams served as the Senior Advisor for the U.S. House of Representatives Select Committee on Benghazi. She conducted all-source investigations and oversight activities related to the 2012 Libya terrorist attacks and was instrumental in mitigating future security risks to U.S. personnel serving overseas. Adams remains one of the most knowledgeable individuals on active terrorism threats around the world.

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Continue reading “Superbad — CIA Targeter Tracks Down #1 Enemy of Benghazi Attacks | SRS #116” »

Stanford researchers have developed a speech brain-computer interface (BCI) they say can translate thoughts into text at a record-breaking speed — putting us closer to a future in which people who can’t talk can still easily communicate.

The challenge: “Anarthria” is a devastating condition in which a person can’t speak, despite being able to understand speech and knowing what they want to say. It’s usually caused by a brain injury, such as a stroke, or a neurological disorder, such as Parkinson’s disease or ALS.

Some people with anarthria write or use eye-tracking tech to communicate, but this “speech” is far slower than the average talking speed. People with anarthria due to total paralysis or locked-in syndrome can’t even move their eyes, though, leaving them with no way to communicate.