Lifeboat Foundation

A gravity laser :DDD.

We consider the possibility of creating a graviton laser. The lasing medium would be a system of contained, ultra cold neutrons. Ultra cold neutrons are a quantum mechanical system that interacts with gravitational fields and with the phonons of the container walls. It is possible to create a population inversion by pumping the system using the phonons. We compute the rate of spontaneous emission of gravitons and the rate of the subsequent stimulated emission of gravitons. The gain obtainable is directly proportional to the density of the lasing medium and the fraction of the population inversion. The applications of a graviton laser would be interesting.

Physicists looking to up the collider energy.

Higgs boson laser.

Electroweak processes in high-energy lepton collisions are considered in a situation where the incident center-of-mass energy lies below the reaction threshold, but is boosted to the required level by subsequent laser acceleration. Within the framework of laser-dressed quantum field theory, we study the laser-boosted process $\ell^+ \ell^- \to HZ^0$ in detail and specify the technical demands needed for its experimental realization. Further, we outline possible qualitative differences to field-free processes regarding the detection of the produced Higgs bosons.

Scientists have accidentally discovered a completely new form of matter that works in the same way as the lightsabers used in Star Wars.

A team of physicists were messing around with photons when they managed to get the particles to stick together and form a molecule.

The molecule behaves, they claim, just like a lightsaber by moving the light particles around in a solid mass and is unlike any matter seen before.

The plaintiffs have sought $20 trillion, which is a bigger amount than China’s GDP, claiming coronavirus is the result of a biological weapon prepared by the Chinese authorities.

They have accused China of aiding and abetting death, provision of material support to terrorists, conspiracy to cause injury and death of US citizens, negligence, wrongful death, and assault and battery.

Also read: Coronavirus impact: India to produce hazmat suits locally as global suppliers say no.

The amplitude mode is a ubiquitous collective excitation in condensed-matter systems with broken continuous symmetry. It is expected in antiferromagnets, short coherence length superconductors, charge density waves, and lattice Bose condensates. Its detection is a valuable test of the corresponding field theory, and its mass gap measures the proximity to a quantum critical point. However, since the amplitude mode can decay into low-energy Goldstone modes, its experimental visibility has been questioned. Here we show that the visibility depends on the symmetry of the measured susceptibility. The longitudinal susceptibility diverges at low frequency as Im χ σ σ ∼ ω − 1 (d = 2) or log (1 / | ω |) (d = 3), which can completely obscure the amplitude peak. In contrast, the scalar susceptibility is suppressed by four extra powers of frequency, exposing the amplitude peak throughout the ordered phase. We discuss experimental setups for measuring the scalar susceptibility. The conductivity of the O (2 ) theory (relativistic superfluid) is a scalar response and therefore exhibits suppressed absorption below the Higgs mass threshold, σ ∼ ω 2 d + 1. In layered, short coherence length superconductors, (relevant, e.g., to cuprates) this threshold is raised by the interlayer plasma frequency.

Using new gene-editing technology, researchers have rewired mouse stem cells to fight inflammation caused by arthritis and other chronic conditions. Such stem cells, known as SMART cells (Stem cells Modified for Autonomous Regenerative Therapy), develop into cartilage cells that produce a biologic anti-inflammatory drug that, ideally, will replace arthritic cartilage and simultaneously protect joints and other tissues from damage that occurs with chronic inflammation.

A new automated machine can synthesize a range of small organic molecules with the push of a button. The synthesizer uses a chemical method that pieces together molecules from modular building blocks. With this technique, the machine synthesized 14 classes of molecules, including some complicated ones with multiple rings.

Perception-Action loops are at the core of most our daily life activities. Subconsciously, our brains use sensory inputs to trigger specific motor actions in real time and this becomes a continuous activity that in all sorts of activities from playing sports to watching TV. In the context of artificial intelligence(AI), perception-action loops are the cornerstone of autonomous systems such as self-driving vehicles. While disciplines such as imitation learning or reinforcement learning have certainly made progress in this area, the current generation of autonomous systems are still nowhere near human skill in making those decisions directly from visual data. Recently, AI researchers from Microsoft published a paper proposing a transfer learning method to learn perception-action policies from in a simulated environment and apply the knowledge to fly an autonomous drone.

The challenge of learning which actions to take based on sensory input is not so much related to theory as to practical implementations. In recent years, methods like reinforcement learning and imitation learning have shown tremendous promise in this area but they remain constrained by the need of large amounts of difficult-to-collect labeled real world data. Simulated data, on the other hand, is easy to generate, but generally does not render safe behaviors in diverse real-life scenarios. Being able to learn policies in simulated environments and extrapolate the knowledge to real world environments remains one of the main challenges of autonomous systems. To advance research in this area, the AI community has created many benchmarks for real world autonomous systems. One of the most challenging is known as first person view drone racing.

In first-person view(FPV) done racing, expert pilots are able to plan and control a quadrotor with high agility using a potentially noisy monocular camera feed, without comprising safety. The Microsoft Research team attempted to build an autonomous agent that can control a drone in FPV racing.