An intuitive guide to reasoning in LLM and simple inference time techniques to improve reasoning with code implementations
Scientists from the National University of Singapore (NUS) have developed NAPTUNE (Nucleic Acids and Protein biomarkers Testing via Ultra-sensitive Nucleases Escalation), a point-of-care assay that identifies trace amounts of disease-related genetic material, including nucleic acid and protein markers, in less than 45 minutes. Importantly, it accomplished this without the need for laboratory equipment or complex procedures.
Lying at the heart of many modern diagnostics, polymerase chain reaction (PCR) and real-time immunoassays provide high accuracy. However, they are hindered by lengthy processing time, the need for specialized thermal cyclers and skilled personnel. These constraints hamper rapid outbreak management, early cancer screening and bedside decision-making, especially in low-resource settings.
NAPTUNE tackles these challenges by replacing bulky amplification steps with a tandem nuclease cascade that converts biological signals directly into readily detectable DNA fragments, streamlining the diagnostic process.
A new study used machine learning to pinpoint the lifestyle and health factors most strongly associated with cognitive performance across the lifespan.
AI avatars of dead people are teaching courses and testifying in court. Even with the best of intentions, the emerging practice of AI ‘reanimations’ is an ethical quagmire.
An international team of scientists led by astronomers from the University of Wisconsin–Madison has produced the most accurate measurement of the gases swirling around young stars and how their mass changes over time. The discovery joins many pieces of a puzzle that may reveal which kinds of planets form—rocky Earth-types, gas giants like Jupiter, or balls of ice in the Neptune mold—as star systems mature.
Pulsar Fusion, a U.K.-based firm attempting to unlock nuclear fusion to power space travel, is opening its first U.S. location in the Austin area.
Questions to inspire discussion.
A: Tesla is testing FSD in the Arctic and awaiting regulatory approval for cities like Paris, Amsterdam, and Rome.
🇸🇪 Q: Why was FSD testing denied in Stockholm?
A: Stockholm denied FSD testing due to risks for infrastructure and pressure from ongoing innovation tasks.
🤖 Q: What improvements are expected in Tesla’s Grok AI?
A: Grok 3.5 will be trained on video data from Tesla cars and Optimus robots, enabling it to understand the world and perform tasks like dropping off passengers.
Gene expression, where cells use the genetic information encoded in DNA to produce proteins, has been thought of as a dimmer light.
How much a particular gene gets expressed continually rises and falls, depending on the needs of a cell at any given time. It’s like adjusting the lighting of a room until it’s just right for your mood.
But University at Buffalo researchers have shown that a considerable portion of a human’s roughly 20,000 genes express more like your standard light switch—fully on or fully off.
Not only can A.I. now make these assessments with remarkable, humanlike accuracy; it can make millions of them in an instant. A.I.’s superpower is its ability to recognize and interpret patterns: to sift through raw data and, by comparing it across vast data sets, to spot trends, relationships and irregularities.
As humans, we constantly generate patterns: in the sequence of our genes, the beating of our hearts, the repetitive motion of our muscles and joints. Everything about us, from the cellular level to the way our bodies move through space, is a source of grist for A.I. to mine. And so it’s no surprise that, as the power of the technology has grown, some of its most startling new abilities lie in its perception of us: our physical forms, our behavior and even our psyches.