Lifeboat Foundation

LOS ANGELES – Artificial intelligence, quantum computing and nuclear power are among the key technologies Lockheed Martin sees as important for future space missions.

Through a project called Destination: Space 2050, Lockheed Martin executives are exploring, for example, how AI could assist scientific exploration of locations where communications with remote sensors would be disrupted by high latency.

In that type of environment, “you really can’t interact with the robotic sensors,” David Lackner, Lockheed Martin senior manager strategy and business development, said during a June 28 webinar. “You have to have something that is super autonomous that can deal with unknown unknowns. We’ve got some really interesting causal autonomy tools that … allow the AI to be super smart about running into something that it hasn’t encountered before.”

Caused by genes, disease, or medicine color blindness is diagnosed using the Ishiara color test. Learn more about about the gadgets and habits that some people with color deficiency use to live with it and to explore the prospects of various treatments.

Wouldn’t it be nice to get a flu shot that could last for years? Researchers are actively working on a so-called “universal” flu vaccine.

Researchers at Tel Aviv University (TAU) say they have identified two key components of the body’s immune response to severe infectious disease, potentially paving the way for personalized and more effective treatments in the field of infectious diseases.

An infectious disease is caused by a microorganism such as a bacterium or a virus entering the body and causing damage to the cells. These cells can also be damaged by the immune system fighting the infection, such as in the case of inflammation.

The body’s reaction to infection has previously been viewed as a monolithic unit, but now the TAU researchers have been able to locate two main markers in the blood that are triggered by infection.

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A fly’s brain can tell us a lot about insect intelligence and maybe a thing or two about our own.

Russia has successfully conducted tests on parts of its next-generation “Poseidon” nuclear-capable torpedo, according to reports.

Testing of reactors for the Poseidon unmanned nuclear-powered underwater drones shows “their operability and safety have been confirmed,” Russian state news agency RIA Novosti reported on June 23. The report was also shared on Russian-language social media channels.

“They are ready to work as intended,” the Kremlin-backed outlet quoted an unnamed source “in the military-industrial complex.” The first “sea tests” are scheduled for this summer.

In 2003, the data visualization expert Edward Tufte traced that year’s Columbia disaster—in which seven astronauts died when their shuttle disintegrated—to a piece of software. It was PowerPoint, he argued, that prevented people at NASA from understanding the gravity of the risks facing the shuttle. PowerPoint all but forced “breaking up narratives and data into … minimal fragments,” “a preoccupation with format not content,” and “a smirky commercialism that turns information into a sales pitch.” Serious dangers got buried at the bottom of a multilevel hierarchy of bullet points under a bigger, sunnier title. If only the information had been delivered in a proper technical report, Tufte implied, the astronauts might still be alive.

Twenty years later, there’s a new office tool keeping us from fully expressing and processing important information: the digital whiteboard. These boards are vast canvases on which you can add and drag around virtually limitless quantities of text, images, tables, diagrams, emoji, and shapes. In their typical state, they are mostly covered with sticky notes on which people have written a word or three. What the words signify in context can quickly become hard to remember, but that’s OK. Like books used as decorations, they get their value from the fact that they signify something.

When asked how this model can cover such a broad scale, Xie says, that it “is rooted in the integration of mechanistic modeling and ML statistical methods, which allows the model to provide a more comprehensive and nuanced understanding of various aspects of RNA and related processes, while quantifying uncertainties due to limited knowledge.”

For example, she explains that, “The mechanistic aspect of the model captures intricate physical and chemical properties at the atomic level, which supports a deep understanding of the underlying biological processes, and the machine-learning element can effectively capture patterns in complex datasets—such as molecular simulations and single-molecule fluorescence microscopy time-course data—and learn relationships that might not be explicitly described in existing mechanistic models.”

In addition to helping scientists better understand the fundamental biology of RNA, the Northeastern team’s hybrid model promises many commercial benefits in the production of monoclonal antibodies, cell and gene therapies, and mRNA vaccines. As Xie says, “It can advance the knowledge of RNA manufacturing mechanisms and guide simultaneous design/control strategies at different levels, such as RNA sequence selection and specifications of critical quality attributes, with less experiments.”