Lifeboat Foundation

The rebirth of commercial supersonic flight has kind of, sort of come to pass as Dawn Aerospace announces that its 16-ft (4.8-m) autonomous Mk-II Aurora rocket-powered aircraft broke the sound barrier with a speed of Mach 1.1 on November 12, 2024.

Ever since the Anglo-French Concorde retired in 2003, civil supersonic flight has been something of a lost art. In recent years, a number of startups have been working on various projects to create a new generation of supersonic transports that are quieter, greener, more efficient, and cost effective to operate.

Continue reading “Rocket plane makes first civil supersonic flight since Concorde” »

The initial product from this collaboration will be a 20-qubit system integrated with NVIDIA’s Grace Hopper Superchip, facilitating hybrid quantum-classical computing. This integration is expected to drive advancements in various fields, including financial services and artificial intelligence.

Through this joint venture, SDT and Anyon Technologies aim to establish a unique and robust partnership in the Asian quantum computing sector, leveraging their combined expertise to lead the commercialization and supply of superconducting quantum computers in the region.

Despite being a mature technology in existence for over several decades, silicon photonic modulators face scrutiny from industry and academic experts. In a recent editorial interview, experts emphasize the need to explore alternatives beyond the traditional platforms. The discussion centers on innovative modulator materials and configurations that could cater to emerging applications in data centers, artificial intelligence, quantum information processing, and LIDAR. Experts also outline the challenges that lie ahead in this field.

Optical and photonic modulators are technologically advanced devices that enable the manipulation of light properties—such as power and phase—based on input signals. Over the decades, scientists have researched and developed silicon photonic modulators with wide-ranging applications, including optical data communication, sensing, biomedical technologies, automotive systems, astronomy, aerospace, and artificial intelligence (AI).

However, these modulators face bandwidth limitations and operational robustness issues stemming from the fundamental properties of silicon and other practical constraints, as highlighted by a panel of leading industry and academic experts in a recent editorial interview.

Banks of computer screens stacked two and three high line the walls. The screens are covered with numbers and graphs that are unintelligible to an untrained eye. But they tell a story to the operators staffing the particle accelerator control room. The numbers describe how the accelerator is speeding up tiny particles to smash into targets or other particles.

However, even the best operator can’t fully track the miniscule shifts over time that affect the accelerator’s machinery. Scientists are investigating how to use computers to make the tiny adjustments necessary to keep particle accelerators running at their best.

Researchers use accelerators to better understand materials and the particles that make them up. Chemists and biologists use them to study ultra-fast processes like photosynthesis. Nuclear and high energy physicists smash together protons and other particles to learn more about the building blocks of our universe.

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Using data and samples from volunteers, including Kaiser Permanente Washington members participating in the Adult Changes in Thought Study (ACT Study), the researchers used advanced genomic technologies and machine learning models to create a timeline of the cellular and molecular changes caused by…

Mapping the disease at the cellular level identifies possible new treatment targets.

People need to anticipate the revolution that’s coming in how humans and AI will collaborate to create discoveries, argues Sam Rodrigues.

Researchers in the Nanoscience Center at the University of Jyväskylä, Finland, have used machine learning and supercomputer simulations to investigate how tiny gold nanoparticles bind to blood proteins. The studies discovered that favorable nanoparticle-protein interactions can be predicted from machine learning models that are trained from atom-scale molecular dynamics simulations. The new methodology opens ways to simulate the efficacy of gold nanoparticles as targeted drug delivery systems in precision nanomedicine.

Hybrid nanostructures between biomolecules and inorganic nanomaterials constitute a largely unexplored field of research, with the potential for novel applications in bioimaging, biosensing, and nanomedicine. Developing such applications relies critically on understanding the dynamical properties of the nano–bio interface.

Modeling the properties of the nano-bio interface is demanding since the important processes such as electronic charge transfer, chemical reactions or restructuring of the biomolecule surface can take place in a wide range of length and time scales, and the atomistic simulations need to be run in the appropriate aqueous environment.

We are now more connected than ever, but also more lonely. Could AI companionship be the cure? In this episode, Emily Chang explores the future tech behind a growing market of relationships-on-demand.

Technology that once seemed like science fiction is rapidly becoming reality, transforming the very essence of our existence. In this four-part series, Emily Chang unravels the future of being human in an age of unprecedented innovation.

Continue reading “The Seductive Promise of Love on Demand | Posthuman with Emily Chang” »