Lifeboat Foundation

The use of “smart drugs” to enhance productivity in academic and workplace settings is on the rise. A recent study published in Science Advances examined the effects of three popular smart drugs – methylphenidate, modafinil, and dextroamphetamine – on real-life tasks. The researchers hypothesized that these drugs, which affect dopamine and norepinephrine, would influence motivation and effort, ultimately leading to improved performance.

The study involved forty participants between the ages of 18 and 35. The participants were randomly assigned to four groups and attended four testing sessions. In each session, they were given one of three popular smart drugs or a placebo. The drugs were administered in a double-blinded manner, meaning neither the participants nor the researchers knew which drug was being given.

The researchers used a task called the “knapsack task” to evaluate the participants’ cognitive performance. This task involves solving a complex optimization problem where participants have to select items with certain weights and values to maximize the overall value while staying within a weight limit. The difficulty of the task was designed to simulate real-life complex tasks that people encounter.

A potent anti-cancer therapy has been created using Nobel prize-winning “click chemistry,” where molecules click together like LEGO bricks, in a new study by UCL and Stanford University researchers.

The study, published in Nature Chemistry, opens up new possibilities for how cutting-edge cancer immunotherapies might be built in future.

The research team created an anti-cancer therapy with three components: one targeting the cancer cell, another recruiting a white blood cell called a T cell to attack the cancer cell, and a third knocking out part of the cancer cell’s defenses.

Looking only at their subatomic particles, most materials can be placed into one of two categories.

Metals—like copper and iron—have free-flowing electrons that allow them to conduct electricity, while insulators —like glass and rubbe r— keep their electrons tightly bound and therefore do not conduct electricity.

Insulators can turn into metals when hit with an intense electric field, offering tantalizing possibilities for microelectronics and supercomputing, but the physics behind this phenomenon called resistive switching is not well understood.

The world’s best artificial intelligence (AI) systems can pass tough exams, write convincingly human essays and chat so fluently that many find their output indistinguishable from people’s. What can’t they do? Solve simple visual logic puzzles.

In a test consisting of a series of brightly coloured blocks arranged on a screen, most people can spot the connecting patterns. But GPT-4, the most advanced version of the AI system behind the chatbot ChatGPT and the search engine Bing, gets barely one-third of the puzzles right in one category of patterns and as little as 3% correct in another, according to a report by researchers this May¹.

The team behind the logic puzzles aims to provide a better benchmark for testing the capabilities of AI systems — and to help address a conundrum about large language models (LLMs) such as GPT-4. Tested in one way, they breeze through what once were considered landmark feats of machine intelligence. Tested another way, they seem less impressive, exhibiting glaring blind spots and an inability to reason about abstract concepts.

The weaponization of the scientific and technological breakthroughs stemming from human genome research presents a serious global security challenge. Gene-editing pioneer and Nobel Laureate Jennifer Doudna often tells a story of a nightmare she once had. A colleague asked her to teach someone how her technology works. She went to meet the student and “was shocked to see Adolf Hitler, in the flesh.”

Doudna is not alone in being haunted by the power of science. Famously, having just returned home from Los Alamos in early 1945, John von Neumann awakened in panic. “What we are creating now is a monster whose influence is going to change history, provided there is any history left,” he stammered while straining to speak to his wife. He surmised, however, that “it would be impossible not to see it through, not only for military reasons, but it would also be unethical from the point of view of the scientists not to do what they knew is feasible, no matter what terrible consequences it may have.”

According to biographer Ananyo Bhattacharya, von Neumann saw what was happening in Nazi Germany and the USSR and believed that “the best he could do is allow politicians to make those [ethical and security] decisions: to put his brain in their hands.” Living through a devastating world war, the Manhattan Project polymath “had no trust left in human nature.”

Many diseases can be successfully treated in the simple environment of a cell culture dish, but to successfully treat real people, the drug agent has to take a journey through the infinitely more complex environment within our bodies and arrive, intact, inside the affected cells. This process, called drug delivery, is one of the most significant barriers in medicine.

A collaboration between Lawrence Berkeley National Laboratory (Berkeley Lab) and Genentech, a member of the Roche Group, is working to break through some of the drug delivery bottlenecks by designing the most effective lipid nanoparticles (LNPs)—tiny spherical pouches made of fatty molecules that encapsulate therapeutic agents until they dock with cell membranes and release their contents. The first drug to use LNPs was approved in 2018, but the delivery method rose to global prominence with the Pfizer and Moderna mRNA COVID vaccines.

“It’s quite a smart system, because if you just deliver the RNA itself to the human body, the RNA is degraded by nucleases and cannot easily cross the cell membrane due to its size and charge, but the LNPs deliver it safely into the cell,” explained co-lead author Chun-Wan Yen, a senior Principal Scientist in Genentech’s Small Molecule Pharmaceutical Sciences group.

For decades, scientists have been probing the potential of two-dimensional materials to transform our world. 2D materials are only a single layer of atoms thick. Within them, subatomic particles like electrons can only move in two dimensions. This simple restriction can trigger unusual electron behavior, imbuing the materials with “exotic” properties like bizarre forms of magnetism, superconductivity and other collective behaviors among electrons—all of which could be useful in computing, communication, energy and other fields.

But researchers have generally assumed that these exotic 2D properties exist only in single-layer sheets, or short stacks. The so-called “bulk” versions of these materials—with their more complex 3D atomic structures—should behave differently.

Or so they thought.

One of the most interesting baby planet systems in the Milky Way has just yielded a detection of water vapor.

And not just anywhere, either. In the extended disk of dust and gas that still clings to the star PDS 70, the James Webb Space Telescope detected the molecular signature of water in the region expected to form Earth-like worlds.

This could help us work out how Earth formed, and where its water came from; but it also is a tantalizing clue about the formation of other potentially habitable worlds out there in the wider galaxy.

According to a person with direct knowledge of the matter, representatives from Tesla are planning to meet India’s commerce minister this month to discuss the possibility of constructing a factory for producing an all-new $24,000 electric car. Tesla has expressed interest in manufacturing low-cost electric vehicles for both the local Indian market and exports. This meeting would mark the most significant discussions between Tesla and the Indian government since Elon Musk’s meeting with Prime Minister Narendra Modi in June, where he expressed his intention to make a substantial investment in the country.