Lifeboat Foundation

Physicist Luke MacQueen combines tissue engineering with stem cell technologies to produce synthetic meat whose texture mimics that of natural meat.

Winston Churchill—the well-known wartime leader and lesser-known Nobel Laureate in Literature—published an essay in 1931 in The Strand Magazine in which he imagined the future “Fifty Years Hence.” Many of his predictions turned out to be prophetic—wireless telephones, television, and nuclear power—while others read like science fiction. But one of his futuristic ideas—growing meat in a lab—may just be a few years away, if Luke MacQueen of Harvard University has his way.

Those looking to make their academic departments more diverse, equitable, and inclusive can learn from previous wins and setbacks.

Achieving equity, diversity, and inclusion is a popular mantra—but is it important for the future of physics? A resounding yes to that question appeared several years ago in a public letter from more than 2000 physicists. The letter was a response to US Supreme Court Chief Justice John Roberts, who, in a high-profile affirmative action case, questioned whether minority students would bring a unique perspective to physics. But what are the arguments for increasing diversity and inclusion? Some are practical: The change would make more talent available to our profession. Diverse teams of people also perform better than homogeneous ones. Another argument is moral: to have bias, discriminate, or exclude African Americans and other people of color, women, people with disabilities, or sexual and gender minorities is incompatible with basic human rights.

Upcoming gravitational-wave observatories could find evidence of a new type of neutrino, supporting a popular theory for why matter dominates over antimatter.

Many cosmologists look to a model called the seesaw mechanism to explain both the Universe’s preponderance of matter over antimatter and why the three flavors of neutrinos are so light. The seesaw mechanism resolves these big questions by introducing a yet-unobserved particle known as a sterile neutrino, which is far more massive than the known neutrino flavors. In new theoretical work, Graham White of TRIUMF, Canada, and colleagues propose a method to test the model indirectly using gravitational-wave observatories due to come online in the next decade and beyond. Direct observation is impossible for now, as producing sterile neutrinos experimentally would require a particle accelerator many orders of magnitude more powerful than the Large Hadron Collider.

An electromechanical device allows researchers to control and study how a nanoscale beam buckles when compressed.

The buckling of a column or other structural element is typically something that engineers want to avoid, but a new device offers a way to control this type of deformation on microscopic scales. The design combines small actuators and circuits that generate mechanical and electrostatic forces on a nanoscale beam, causing it to buckle to the left or to the right. By manipulating the beam’s deformation, researchers may be able to harness buckling for sensitive detectors or for testing the relationship between thermodynamics and computing.

Quantum simulators can help researchers extract the key parameters of a quantum field theory from experiments.

One of the greatest challenges in physics is to understand how collective, macroscopic behaviors, such as phase transitions, emerge from the microscopic dynamics of the constituents of a system. A pivotal approach to tackle such many-body problems is offered by quantum field theory (QFT), which plays a central role in describing, for instance, superconductivity and the quantum Hall effect. QFT makes a number of problems solvable by describing a system in terms of fields distributed in space and time, while neglecting many of the microscopic details of the system. However, when developing a QFT description for a given system, it can be challenging to derive the theory’s parameters from experiments, limiting the theory’s predictive power. Now, Torsten Zache of Heidelberg University, Germany, and colleagues have demonstrated a new approach to incorporate experimental data into the construction of a QFT [1].

To improve access to large data sets, scientists are looking to cloud-based solutions for data management.

In the coming decade, big projects like the Large Hadron Collider (LHC) and the Square Kilometre Array (SKA) are each expected to produce an exabyte of data yearly, which is about 20 times the digital content of all the written works throughout human history. This information overload requires new thinking about data management, which is why scientists have begun to look to the “cloud.” In such a scenario, data would be stored and analyzed remotely, with the advantage that information would become more accessible to a wider scientific community. Efforts are underway to create “science clouds,” but disagreements remain over their structure and implementation. To discuss these details, around 60 scientists came together for The Science Cloud meeting in Bad Honnef, Germany. The attendees shared lessons from past and ongoing projects in the hope of building the groundwork for a future scientific computing infrastructure.

How molecules change when they react to stimuli such as light is fundamental in biology, for example during photosynthesis. Scientists have been working to unravel the workings of these changes in several fields, and by combining two of these, researchers have paved the way for a new era in understanding the reactions of protein molecules fundamental for life.

The large international research team, led by Professor Jasper van Thor from the Department of Life Sciences at Imperial, report their results in the journal Nature Chemistry.

Crystallography is a powerful technique in structural biology for taking ‘snapshots’ of how molecules are arranged. Over several large-scale experiments and years of theory work, the team behind the new study integrated this with another technique that maps vibrations in the electronic and nuclear configuration of molecules, called spectroscopy.

Commercial sensors will be reliable, tiny, and affordable.

(Suggested reading: “The Non-things”, Byung-Chul Han).

The idea that human connection will be crucial in the age of superintelligence is not uncommon among some experts and futurists. Superintelligence refers to a hypothetical form of artificial intelligence that surpasses human intelligence across all domains. Some individuals, including scientists and technologists, have expressed concerns about the potential impact of superintelligence on humanity.

Some argument that if superintelligence were to become a reality, it could bring about profound changes to society and the way we live. In such a scenario, human traits and values like compassion, empathy, and emotional connections could become even more critical to preserve our uniqueness and counterbalance the overwhelming capabilities of superintelligent machines. The idea is that our ability to connect with each other emotionally and maintain a sense of community, compassion, and mutual understanding could provide a counterpoint to the cold and logical calculations of superintelligent AI. This human element might serve as a safeguard against potential negative consequences or misuse of superintelligence.