Lifeboat Foundation

How many qubits do we have to have in a quantum computer and accessble to a wide market to trully have something scfi worthy?

Today, a startup called Atom Computing announced that it has been doing internal testing of a 1,180 qubit quantum computer and will be making it available to customers next year. The system represents a major step forward for the company, which had only built one prior system based on neutral atom qubits—a system that operated using only 100 qubits.

The error rate for individual qubit operations is high enough that it won’t be possible to run an algorithm that relies on the full qubit count without it failing due to an error. But it does back up the company’s claims that its technology can scale rapidly and provides a testbed for work on quantum error correction. And, for smaller algorithms, the company says it’ll simply run multiple instances in parallel to boost the chance of returning the right answer.

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That is what Harvard Medical School’s Professor Khalid Shah told the laughing audience during his maiden TEDx talk, in which he spoke about how “repurposed cancer cells” could be used as therapeutics to cure aggressive cancers.

FGFR inhibitors, in combination with standard treatments, have extended the lives of many with this disease. However, these drugs often stop working after six to eight months.

“These drugs work very well for a while, but resistance is inevitable,” says gastrointestinal medical oncologist Milind Javle, M.D.

Now, a new type of FGFR inhibitor may allow patients to live longer without their disease progressing.

Data that needs to be stored long-term is growing exponentially. Existing storage technologies have a limited lifetime, and regular data migration is needed, resulting in high cost. Project Silica designs a long-term storage system specifically for the cloud, using quartz glass.

Read the blog at https://aka.ms/AA6faho.
Learn more about the project at https://www.microsoft.com/en-us/research/video/project-silic…-in-glass/

The number of publications in artificial intelligence (AI) has been increasing exponentially and staying on top of progress in the field is a challenging task. Krenn and colleagues model the evolution of the growing AI literature as a semantic network and use it to benchmark several machine learning methods that can predict promising research directions in AI.

Intelligent robots are reshaping our universe. In New Jersey’s Robert Wood Johnson University Hospital, AI-assisted robots are bringing a new level of security to doctors and patients by scanning every inch of the premises for harmful bacteria and viruses and disinfecting them with precise doses of germicidal ultraviolet light.

In agriculture, robotic arms driven by drones scan varying types of fruits and vegetables and determine when they are perfectly ripe for picking.

The Airspace Intelligence System AI Flyways takes over the challenging and often stressful tasks of flight dispatchers who must make last-minute flight pattern changes due to sudden extreme weather, depleted fuel supplies, mechanical problems or other emergencies. It optimizes solutions, is safer, saves time and is cost-efficient.

Researchers at EPFL and Northwestern University have unveiled a groundbreaking design for perovskite solar cells, creating one of the most stable PSCs with a power-conversion efficiency above 25%, paving the way for future commercialization.

Perovskite solar cells (PSCs) stand at the forefront of solar energy innovation, and have drawn a lot of attention for their power-conversion efficiency and cost-effective manufacturing. But the way to commercialization of PSCs still has a hurdle to overcome: achieving both high efficiency and long-term stability, especially in challenging environmental conditions.

The solution lies in the interplay between the layers of PSCs, which has proven to be a double-edged sword. The layers can enhance the cells’ performance but also cause them to degrade too quickly for regular use in everyday life.

Neurotechnology can be used to monitor, record and influence brain activity. Our latest horizon scanning report sets out the challenges and opportunities the developments in neurotechnology may bring for the legal profession.

The neutrino, one of nature’s most elusive and least understood subatomic particles, rarely interacts with matter. That makes precision studies of the neutrino and its antimatter partner, the antineutrino, a challenge. The strongest emitters of neutrinos on Earth—nuclear reactors—play a key role in studying these particles. Researchers have designed the Precision Reactor Oscillation and Spectrum Experiment (PROSPECT) for detailed studies of electron antineutrinos coming from the core of the High Flux Isotope Reactor (HFIR).

Now the PROSPECT research collaboration has reported the most precise measurement ever of the energy spectrum of antineutrinos emitted from the fission of uranium-235 (U-235). These results provide scientists with new information about the nature of these particles.

PROSPECT’s collaborators represent more than 60 participants from 13 universities and four national laboratories. They built a novel antineutrino detector system and installed it with extensive, tailored shielding against background at the HFIR research reactor, a Department of Energy (DOE) Office of Science user facility at Oak Ridge National Laboratory. The research focuses on antineutrinos emerging from the fission of U-235. Produced by nuclear beta decay, antineutrinos are antimatter-particle counterparts to neutrinos.