Lifeboat Foundation

And it’s not what you think it is.

Related: Warp drive and ‘Star Trek’: The physics of future space travel

Alcubierre published his idea in Classical and Quantum Gravity. Now, a new paper in the same journal suggests that a warp drive may not require exotic negative energy after all.

“This study changes the conversation about warp drives,” lead author Jared Fuchs, of the University of Alabama, Huntsville and the research think tank Applied Physics, said in a statement. “By demonstrating a first-of-its-kind model, we’ve shown that warp drives might not be relegated to science fiction.”

Here is an interview concerning the current AI and generative AI waves, and their relation to neuroscience. We propose solutions based on new technology from neuroAI – which includes humans ability for reasoning, thought, logic, mathematics, proof etc. – and are therefore poorly modeled by data analysis on its own. Some of our work – also with scholars – has been published, while more is to come in a spin-off setting.

There used to be the concept of a “singularity”. The idea was that computers would become smarter than humans and start to replace them. Even the idea that humanity would be substituted by silicon-based computing machines (robots) was suggested. Against that two years ago we set the concept of “The convergence”. This assumes that biological and silicon-based computation would merge in the sense of better control over biological processes like diseases and longevity. It is essentially a deeply humanistic perspective, in spite of being futuristic, and not taking misuses actively into account.

“Engineering the brain”. There was no intelligent design, and as a result, body organs do not resemble machines. Once we start building machines like body organs — with utility functions, self-organization and cells as building blocks, we can mesh engineering and evolutionary principles to arrive at better organisms.

We present a novel model of neuroplasticity in the form of a horizontal-vertical integration model. The horizontal plane consists of a network of neurons connected by adaptive transmission links. This fits with standard computational neuroscience approaches. Each individual neuron also has a vertical dimension with internal parameters steering the external membrane-expressed parameters. These determine neural transmission.

In a paper titled, “Multimodal MRI reveals brainstem connections that sustain wakefulness in human consciousness,” published today in Science Translational Medicine, a group of researchers at Massachusetts General Hospital, a founding member of the Mass General Brigham healthcare system, and Boston Children’s Hospital, created a connectivity map of a brain network that they propose is critical to human consciousness.

The study involved high-resolution scans that enabled the researchers to visualize brain connections at submillimeter spatial resolution. This technical advance allowed them to identify previously unseen pathways connecting the brainstem, thalamus, hypothalamus, basal forebrain, and cerebral cortex.

Together, these pathways form a “default ascending arousal network” that sustains wakefulness in the resting, conscious human brain. The concept of a “default” network is based on the idea that specific networks within the brain are most functionally active when the brain is in a resting state of consciousness. In contrast, other networks are more active when the brain is performing goal-directed tasks.

NASA has developed a new plasma rocket that could potentially reach Mars in just 2 months, cutting the travel time in half. In addition, the world is being warned to prepare for a possible geomagnetic storm, and a new fusion record has been set. These advancements in space technology and energy production have the potential to greatly impact our future.

A team of researchers, led by Professor Dong Eon Kim from Pohang University of Science and Technology and Professor X. Lai at the Innovation Academy for Precision Measurement Science and Technology, has made significant strides in ultrafast imaging. They have successfully observed two distinct holographic patterns—resembling spider legs and fishbones—within molecules for the first time. […].