Lifeboat Foundation

The parallels between human memory and vector databases go deeper than simple retrieval. Both excel at compression, reducing complex information into manageable patterns. Both organize information hierarchically, from specific instances to general concepts. And both excel at finding similarities and patterns that might not be obvious at first glance.

This isn’t just about professional efficiency — it’s about preparing for a fundamental shift in how we interact with information and technology. Just as literacy transformed human society, these evolved communication skills will be essential for full participation in the AI-augmented economy. But unlike previous technological revolutions that sometimes replaced human capabilities, this one is about enhancement. Vector databases and AI systems, no matter how advanced, lack the uniquely human qualities of creativity, intuition, and emotional intelligence.

The future belongs to those who understand how to think and communicate in vectors — not to replace human thinking, but to enhance it. Just as vector databases combine precise mathematical representation with intuitive pattern matching, successful professionals will blend human creativity with AI’s analytical power. This isn’t about competing with AI or simply learning new tools — it’s about evolving our fundamental communication skills to work in harmony with these new cognitive technologies.

Researchers from the University of Bonn have trained an AI process to predict potential active ingredients with special properties. Therefore, they derived a chemical language model — a kind of ChatGPT for molecules. Following a training phase, the AI was able to exactly reproduce the chemical structures of compounds with known dual-target activity that may be particularly effective medications. The study has now been published in Cell Reports Physical Science.

Anyone who wants to delight their granny with a poem on her 90th birthday doesn’t need to be a poet nowadays: A short prompt in ChatGPT is all it takes, and within a few seconds the AI spits out a long list of words that rhyme with the birthday girl’s name. It can even produce a sonnet to go with it if you like.

Researchers at the University of Bonn have implemented a similar model in their study — known as a chemical language model. This does not, however, produce rhymes. Instead, the AI displays the structural formulas of chemical compounds that may have a particularly desirable property: They are able to bind to two different target proteins. In the organism, this means, for example, they can inhibit two enzymes at once.

Bluesky, a social network that’s experiencing a surge in users this week as users abandon X, says it has “no intention” of using user content to train generative AI tools.

Texas A&M University made a giant leap toward bolstering its contributions to space exploration on Friday, when university officials marked a groundbreaking ceremony for its $200 million space center in Houston. Work will begin in January on the Texas A&M University Space Institute, which is designed to support efforts in aeronauts, robotics and space engineering.

“As space exploration expands, there will be a growing demand for highly skilled engineers, scientists, and professionals. Texas A&M is ready,” said Texas A&M University System Chancellor John Sharp in a statement. “With this new facility, A&M will create workforce development opportunities in space-related fields.”

Artificial intelligence holds the potential to bring a commercial and economic rebirth for the United States and its allies. Yet the U.S. Congress is getting skittish. Its leaders are reportedly negotiating a lame-duck bill to regulate the AI industry.

As officials push and prod on the new technology, they should exercise caution.

A new slide about the planned 2028 mission shows a four-wheeled lunar craft with a humanoid form.

Gregory Chaitin ‘s work will limit the capability of AI.

The rigid structures of language we once clung to with certainty are cracking. Take gender, nationality or religion: these concepts no longer sit comfortably in the stiff linguistic boxes of the last century. Simultaneously, the rise of AI presses upon us the need to understand how words relate to meaning and reasoning.

A global group of philosophers, mathematicians and computer scientists have come up with a new understanding of logic that addresses these concerns, dubbed “inferentialism”

One standard intuition of logic, dating back at least to Aristotle, is that a logical consequence ought to hold by virtue of the content of the propositions involved, not simply by virtue of being “true” or “false”. Recently, the Swedish logician Dag Prawitz observed that, perhaps surprisingly, the traditional treatment of logic entirely fails to capture this intuition.

Researchers are developing atomically precise memristors for advanced neuromorphic computing systems.

The University of Kansas and University of Houston, backed by $1.8 million from the National Science Foundation’s Future of Semiconductor program (FuSe2), are collaborating to develop atomically tunable memory resistors, known as “memristors.” These advanced components are designed for brain-inspired computing applications and will support workforce development in the semiconductor industry.

Launched in 2023, the FuSe2 program addresses key challenges in semiconductor research and development, with industry partners including Micron, Intel, and Samsung.