Lifeboat Foundation

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“GlaxoSmithKline’s chief scientific officer Hal Barron will step down in August as he moves to lead a Silicon Valley anti-ageing start-up, dealing a blow to the pharma group as it races to rebuild its pipeline of drugs.”

Elon Musk: Tesla could play a role in Artificial Intelligence, decentralize Tesla Bot to avoid the scenario of Terminator.

Link: Big Pharma loses top scientist to anti-aging research.

GlaxoSmithKline’s chief scientific officer Hal Barron will step down in August as he moves to lead a Silicon Valley anti-ageing start-up, dealing a blow to the pharma group as it races to rebuild its pipeline of drugs.

Hal Barron, a veteran drug developer, helped shape GSK efforts when some shareholders raised concerns that chief executive Emma Walmsley’s lack of a scientific background was a hindrance. He will be replaced by internal candidate Tony Wood.

Continue reading “GSK loses top scientist to anti-ageing start-up” »

Time crystals. Microwaves. Diamonds. What do these three disparate things have in common?

Quantum computing. Unlike traditional computers that use bits, quantum computers use qubits to encode information as zeros or ones, or both at the same time. Coupled with a cocktail of forces from quantum physics, these fridge-sized machines can process a whole lot of information – but they’re far from flawless. Just like our regular computers, we need to have the right programming languages to properly compute on quantum computers.

Programming quantum computers requires awareness of something called “entanglement”, a computational multiplier for qubits of sorts, which translates to a lot of power. When two qubits are entangled, actions on one qubit can change the value of the other even when they are physically separated, giving rise to Einstein’s characterization of “spooky action at a distance.” But that potency is equal parts a source of weakness. When programming, discarding one qubit without being mindful of its entanglement with another qubit can destroy the data stored in the other, jeopardizing the correctness of the program.

Researchers at the University of Adelaide and their overseas partners have taken a key step in making quantum batteries a reality. They have successfully proved the concept of superabsorption, a crucial idea underpinning quantum batteries.

“Quantum batteries, which use quantum mechanical principles to enhance their capabilities, require less charging time the bigger they get,” said Dr. James Q. Quach, who is a Ramsay Fellow in the School of Physical Sciences and the Institute for Photonics and Advanced Sensing (IPAS), at the University of Adelaide.

“It is theoretically possible that the charging power of quantum batteries increases faster than the size of the battery which could allow new ways to speed charging.”

One critical difference? Unlike a Mars mission’s “seven minutes of terror,” during which the entry, descent, and landing occur too fast for human operators to interfere, gene therapy delivery is completely blind. Once inside the body, the entire flight sequence rests solely on the design of the carrier “spaceship.”

In other words, for gene therapy to work efficiently, smarter carriers are imperative.

This month, a team at Harvard led by Dr. David Liu launched a new generation of molecular carriers inspired by viruses. Dubbed engineered virus-like particles (eVLPs), these bubble-like carriers can deliver CRISPR and base editing components to a myriad of organs with minimal side effects.

Researchers from RIKEN and QuTech—a collaboration between TU Delft and the Netherlands Organisation for Applied Scientific Research (TNO)— have achieved a key milestone toward the development of a fault-tolerant quantum computer. They were able to demonstrate a two-qubit gate fidelity of 99.5 percent—higher than the 99 percent considered to be the threshold for building fault-tolerant computers—using electron spin qubits in silicon, which are promising for large-scale quantum computers as the nanofabrication technology for building them already exists. This study was published in Nature.

The world is currently in a race to develop large-scale quantum computers that could vastly outperform classical computers in certain areas. However, these efforts have been hindered by a number of factors, including in particular the problem of decoherence, or noise generated in the qubits. This problem becomes more serious with the number of qubits, hampering scaling up. In order to achieve a large-scale computer that could be used for useful applications, it is believed that a two-qubit gate fidelity of at least 99 percent to implement the surface code for error correction is required. This has been achieved in certain types of computers, using qubits based on superconducting circuits, trapped ions, and nitrogen-vacancy centers in diamond, but these are hard to scale up to the millions of qubits required to implement practical quantum computation with an error correction.

To address these problems, the group decided to experiment with a quantum dot structure that was nanofabricated on a strained silicon/silicon germanium quantum well substrate, using a controlled-NOT (CNOT) gate. In previous experiments, the gate fidelity was limited due to slow gate speed. To improve the gate speed, they carefully designed the device and tuned it by applying different voltages to the gate electrodes. This combined an established fast single-spin rotation technique using micromagnets with large two-qubit coupling. The result was a gate speed that was 10 times better than previous attempts. Interestingly, although it had been thought that increasing gate speed would always lead to better fidelity, they found that there was a limit beyond which increasing the speed actually made the fidelity worse.

Content warning: this story contains descriptions of abusive language and violence.

The smartphone app Replika lets users create chatbots, powered by machine learning, that can carry on almost-coherent text conversations. Technically, the chatbots can serve as something approximating a friend or mentor, but the app’s breakout success has resulted from letting users create on-demand romantic and sexual partners — a vaguely dystopian feature that’s inspired an endless series of provocative headlines.

Replika has also picked up a significant following on Reddit, where members post interactions with chatbots created on the app. A grisly trend has emerged there: users who create AI partners, act abusively toward them, and post the toxic interactions online.

Google has been developing what is perhaps the company’s most ambitious project to date: a science startup that will pursue ‘solutions for aging’ with the intended goal of “solving death”.

Calico, a company directed by futurists to explore the concept of “singularity”, has partnered with pharmaceutical giants to research and trial new market drugs that target aging and development.

What is this new audacious project? Who is behind it? In the following feature, Ethan Nash explores.