Lifeboat Foundation

“A human brain model can simulate an experiment a million times for many different conditions, but the actual human experiment can be performed only once or a few times,” said Viktor Jirsa, a professor at Aix-Marseille University.

Responding to such critiques, the HBP worked to restructure the effort in its early days with new leadership, organization, and goals that were more flexible and attainable. “The HBP got a more versatile, pluralistic approach,” said Viktor Jirsa, a professor at Aix-Marseille University and one of the HBP lead scientists. He believes that these changes fixed at least some of HBP’s issues. “The project has been on a very productive and scientifically fruitful course since then.”

After restructuring, the HBP became a European hub on brain research, with hundreds of scientists joining its growing network. The HBP created projects focused on various brain topics, from consciousness to neurodegenerative diseases. HBP scientists worked on complex subjects, such as mapping out the brain, combining neuroscience and robotics, and experimenting with neuromorphic computing, a computational technique inspired by the human brain structure and function—to name just a few.

We have various ways of seeing what the brain is up to, from low-resolution electrodes that track waves of activity that ripple across the brain, to implanted electrodes that can follow the activity of individual cells. Combined with a detailed knowledge of which regions of the brain are involved in specific processes, we’ve been able to do remarkable things, such as using functional MRI (fMRI) to determine what letter a person was looking at or an implant to control a robotic arm.

But today, researchers announced a new bit of mind reading that’s impressive in its scope. By combining fMRI brain imaging with a system that’s somewhat like the predictive text of cell phones, they’ve worked out the gist of the sentences a person is hearing in near real time. While the system doesn’t get the exact words right and makes a fair number of mistakes, it’s also flexible enough that it can reconstruct an imaginary monologue that goes on entirely within someone’s head.

Researchers have resolved the mechanism of exciton fission, which could increase solar-to-electricity efficiency by one-third, potentially revolutionizing photovoltaic technology.

Photovoltaics, the conversion of light to electricity, is a key technology for sustainable energy. Since the days of Max Planck and Albert Einstein, we know that light as well as electricity are quantized, meaning they come in tiny packets called photons and electrons. In a solar cell, the energy of a single photon.

A photon is a particle of light. It is the basic unit of light and other electromagnetic radiation, and is responsible for the electromagnetic force, one of the four fundamental forces of nature. Photons have no mass, but they do have energy and momentum. They travel at the speed of light in a vacuum, and can have different wavelengths, which correspond to different colors of light. Photons can also have different energies, which correspond to different frequencies of light.

NeaChat is an AI-powered chatbot developed based on ChatGPT, serving users in various industries such as education, research, finance, healthcare, and law.

Wuhan, China, May 6, 2023 (GLOBE NEWSWIRE) — The NeaChat team is honored to announce that it has obtained access to OpenAI’s latest generation of artificial intelligence language model GPT-4, becoming one of the first teams in China to obtain authorized access to GPT-4 is a powerful AI model with excellent natural language understanding and generation capabilities, with significant improvements in functionality and performance over its predecessor, GPT-3.5.

The core advantages of GPT-4 lie in its vast knowledge base, efficient problem-solving capabilities, natural language generation, and wide range of applications. We believe that the introduction of GPT-4 will bring a richer and more intelligent experience to NeaChat users.

The algorithm combines classical beam physics equations with machine-learning techniques to reduce the need for extensive data processing.

When the linear accelerator at SLAC National Accelerator Laboratory is operational, groups of approximately one billion electrons travel through metal pipes at almost the speed of light. These electron groups form the accelerator’s particle beam, which is utilized to investigate the atomic behavior of molecules, innovative materials, and numerous other subjects.

However, determining the actual appearance of a particle beam as it moves through an accelerator is challenging, leaving scientists with only a rough estimate of how the beam will behave during an experiment.

2D materials, which are finer than even the thinnest onionskin paper, have garnered significant attention due to their remarkable mechanical attributes. However, these properties dissapate when the materials are layered, thus restricting their practical applications.

“Think of a graphite pencil,” says Teng Li, Keystone Professor at the University of Maryland’s (UMD) Department of Mechanical Engineering. “Its core is made of graphite, and graphite is composed of many layers of graphene.

Graphene is an allotrope of carbon in the form of a single layer of atoms in a two-dimensional hexagonal lattice in which one atom forms each vertex. It is the basic structural element of other allotropes of carbon, including graphite, charcoal, carbon nanotubes, and fullerenes. In proportion to its thickness, it is about 100 times stronger than the strongest steel.

Artificial intelligence (AI) has become commonplace, and quantum computing is set to alter the landscape radically. The potential of quantum computers to process vast amounts of data at unprecedented speeds could render existing AI chatbots, such as ChatGPT, obsolete.

The intricacies of quantum computing intertwine with understanding the evolution of artificial intelligence. This journey reveals the convergence of two transformative technologies, uncovers challenges, opens opportunities, and underscores the vital role of safeguarding innovations through patent law.

Continue reading “Quantum Computing Supremacy Unleashed: AI Chatbots Are Doomed” »

The mysterious phenomenon of “spooky action at a distance,” which once troubled Einstein, could soon become as commonplace as the gyroscopes used to measure acceleration in smartphones.

A recent study in Nature Photonics.

<em>Nature Photonics</em> is a prestigious, peer-reviewed scientific journal that is published by the Nature Publishing Group. Launched in January 2007, the journal focuses on the field of photonics, which includes research into the science and technology of light generation, manipulation, and detection. Its content ranges from fundamental research to applied science, covering topics such as lasers, optical devices, photonics materials, and photonics for energy. In addition to research papers, <em>Nature Photonics</em> also publishes reviews, news, and commentary on significant developments in the photonics field. It is a highly respected publication and is widely read by researchers, academics, and professionals in the photonics and related fields.

Some of Uranus’ moons likely have deep oceans lurking beneath their ice-capped surfaces, a new study by NASA shows.

Two of them, Titania and Oberon, may even have water warm enough to support life.

Scientists have recently pored through decades-old information collected by the veteran Voyager 2 spacecraft, which flew by Uranus in 1986 during its extended space mission. Armed with new computer modeling techniques, researchers reanalyzed the data and concluded four of the ice giant’s 27 moons (opens in a new tab) probably have liquid water sandwiched between their cores and crusts.