Lifeboat Foundation

Amidst rapid technological advancements, Tiny AI is emerging as a silent powerhouse. Imagine algorithms compressed to fit microchips yet capable of recognizing faces, translating languages, and predicting market trends. Tiny AI operates discreetly within our devices, orchestrating smart homes and propelling advancements in personalized medicine.

Tiny AI excels in efficiency, adaptability, and impact by utilizing compact neural networks, streamlined algorithms, and edge computing capabilities. It represents a form of artificial intelligence that is lightweight, efficient, and positioned to revolutionize various aspects of our daily lives.

Looking into the future, quantum computing and neuromorphic chips are new technologies taking us into unexplored areas. Quantum computing works differently than regular computers, allowing for faster problem-solving, realistic simulation of molecular interactions, and quicker decryption of codes. It is not just a sci-fi idea anymore; it’s becoming a real possibility.

This paper introduces a novel theoretical framework for understanding consciousness, proposing a paradigm shift from traditional biological-centric views to a broader, universal perspective grounded in thermodynamics and systems theory. We posit that consciousness is not an exclusive attribute of biological entities but a fundamental feature of all systems exhibiting a particular form of intelligence. This intelligence is defined as the capacity of a system to efficiently utilize energy to reduce internal entropy, thereby fostering increased order and complexity. Supported by a robust mathematical model, the theory suggests that subjective experience, or what is often referred to as qualia, emerges from the intricate interplay of energy, entropy, and information within a system. This redefinition of consciousness and intelligence challenges existing paradigms and extends the potential for understanding and developing Artificial General Intelligence (AGI). The implications of this theory are vast, bridging gaps between cognitive science, artificial intelligence, philosophy, and physics, and providing a new lens through which to view the nature of consciousness itself.

Consciousness, traditionally viewed through the lens of biology and neurology, has long been a subject shrouded in mystery and debate. Philosophers, scientists, and thinkers have pondered over what consciousness is, how it arises, and why it appears to be a unique trait of certain biological organisms. The “hard problem” of consciousness, a term coined by philosopher David Chalmers, encapsulates the difficulty in explaining why and how physical processes in the brain give rise to subjective experiences.

Current research in cognitive science, neuroscience, and artificial intelligence offers various theories of consciousness, ranging from neural correlates of consciousness (NCCs) to quantum theories. However, these theories often face limitations in fully explaining the emergence and universality of consciousness.

Innovative research leverages levitated optomechanics to observe quantum phenomena in larger objects, offering potential applications in quantum sensing and bridging the gap between quantum and classical mechanics.

The question of where the boundary between classical and quantum physics lies is one of the longest-standing pursuits of modern scientific research and in new research published today, scientists demonstrate a novel platform that could help us find an answer.

The laws of quantum physics govern the behavior of particles at minuscule scales, leading to phenomena such as quantum entanglement, where the properties of entangled particles become inextricably linked in ways that cannot be explained by classical physics.

Argonne researchers pioneer “redox gating” — a new way to precisely modulate electron flow.

Breakthrough could help lead to the development of new low-power semiconductors or quantum devices.

As the integrated circuits that power our electronic devices get more powerful, they are also getting smaller. This trend of microelectronics has only accelerated in recent years as scientists try to fit increasingly more semiconducting components on a chip.

https://entanglion.github.io

Congratulations, your captain has retired and left you in charge of his galactic shipping business! Now it’s time to make some upgrades as you embark on a journey to reconstruct a quantum computer developed by an ancient race.

Entanglion is a cooperative board game designed for two players. Learn about quantum computing as you work together with your teammate to navigate the three galaxies of the quantum universe, avoid detection by the defense mechanisms left behind by the ancients, and rebuild the quantum computer.

Continue reading “Entanglion, a quantum computing board game developed by @IBMQuantum” »

A new method to measure the arrival times of electrons could aid in the design of future electron microscopes.

For researchers working to develop the next generation of electron microscopes, understanding the details of electron beams is essential. Now a research team has observed the weak repulsion of electrons in a continuous beam with the highest precision to date by measuring the number of electrons arriving at a detector within a timeframe of less than 1 picosecond (ps) [1]. With improvements, the new technique may be able to pick up the repulsion attributable to the Pauli exclusion principle. The researchers think the work may eventually help engineers design more sensitive electron microscopes based on quantum principles.

Many natural events such as rain falling are uncorrelated: the fall of each raindrop is independent of every other raindrop. Given a certain time window, say 1 second, the likelihood that zero, one, two, or more raindrops will fall within a certain area is predicted by a statistical distribution called a Poissonian. If, however, the raindrops could interact, then their arrivals might be correlated or anticorrelated—the drops could fall together more often or less often, depending on whether the interaction is attractive or repulsive. Then the probability of similarly timed raindrops would be either super-Poissonian (occurring more often) or sub-Poissonian (occurring less often).

Researchers at the National University of Singapore (NUS) have developed an innovative method for creating carbon-based quantum materials atom by atom. This method combines the use of scanning probe microscopy with advanced deep neural networks. The achievement underlines the capabilities of artificial intelligence (AI) in manipulating materials at the sub-angstrom level, offering significant advantages for basic science and potential future uses.

Open-shell magnetic nanographenes represent a technologically appealing class of new carbon-based quantum materials, which host robust π-spin centers and non-trivial collective quantum magnetism. These properties are crucial for developing high-speed electronic devices at the molecular level and creating quantum bits, the building blocks of quantum computers.

Continue reading “Quantum Leap in Material Science: Researchers Unveil AI-Powered Atomic Fabrication Technique” »

Physicists are pushing the limits of atomic clock accuracy by using spin-squeezed states, achieving groundbreaking control over quantum noise and entanglement, leading to potential leaps in quantum metrology.

While atomic clocks are already the most precise timekeeping devices in the universe, physicists are working hard to improve their accuracy even further. One way is by leveraging spin-squeezed states in clock atoms. Spin-squeezed states are entangled states in which particles in the system conspire to cancel their intrinsic quantum noise. These states, therefore, offer great opportunities for quantum-enhanced metrology since they allow for more precise measurements. Yet, spin-squeezed states in the desired optical transitions with little outside noise have been hard to prepare and maintain.

One particular way to generate a spin-squeezed state, or squeezing, is by placing the clock atoms into an optical cavity, a set of mirrors where light can bounce back and forth many times. In the cavity, atoms can synchronize their photon emissions and emit a burst of light far brighter than from any one atom alone, a phenomenon referred to as superradiance. Depending on how superradiance is used, it can lead to entanglement, or alternatively, it can instead disrupt the desired quantum state.

Mid-infrared and terahertz laser pulses serve as potent instruments for altering the characteristics of quantum materials by specifically tailoring their crystal lattice. The induction of ferroelectricity in SrTiO₃ when exposed to mid-infrared light is a significant example of this phenomenon. In this process, SrTiO₃ undergoes a change to a state where electrical dipoles are permanently aligned, a condition not found in its natural state of equilibrium. The process driving this remarkable transformation remains a mystery.

Now, a team of researchers of the Max Planck Institute for the Structure and Dynamics of Matter (MPSD) in Germany and the SLAC National Accelerator Laboratory in the United States has performed an experiment at the SwissFEL X-ray Free-Electron Laser to identify the intrinsic interactions relevant to creating this state. The new insight was gained not by detecting the position of the atoms, but by measuring the fluctuations of these atomic positions.

The result provides evidence that these fluctuations are reduced, which may explain why the dipolar structure is more ordered than in equilibrium, and why a ferroelectric state could be induced. The work by the Cavalleri group has appeared in Nature Materials.