TinyTroupe by Microsoft (early stage release)
LLM-powered multiagent persona simulation for imagination enhancement and business insights.
LLM-powered multiagent persona simulation for imagination enhancement and business insights. — microsoft/TinyTroupe.
Much of modern life depends on the coding of information into means of delivering it. A common method is to encode data in laser light and send it through optic cables. The increasing demand for more information capacity demands that we constantly find better ways of encoding it.
Autonomous laboratories can accelerate discoveries in chemical synthesis, but this requires automated measurements coupled with reliable decision-making.
Much progress has been made towards diversifying automated synthesis platforms4,5,19 and increasing their autonomous capabilities9,14,15,20,21,22. So far, most platforms use bespoke engineering and physically integrated analytical equipment6. The associated cost, complexity and proximal monopolization of analytical equipment means that single, fixed characterization techniques are often favoured in automated workflows, rather than drawing on the wider array of analytical techniques available in most synthetic laboratories. This forces any decision-making algorithms to operate with limited analytical information, unlike more multifaceted manual approaches. Hence, closed-loop autonomous chemical synthesis often bears little resemblance to human experimentation, either in the laboratory infrastructure required or in the decision-making steps.
We showed previously11 that free-roaming mobile robots could be integrated into existing laboratories to perform experiments by emulating the physical operations of human scientists. However, that first workflow was limited to one specific type of chemistry—photochemical hydrogen evolution—and the only measurement available was gas chromatography, which gives a simple scalar output. Subsequent studies involving mobile robots also focused on the optimization of catalyst performance12,13. These benchtop catalysis workflows11,12,13 cannot carry out more general synthetic chemistry, for example, involving organic solvents, nor can they measure and interpret more complex characterization data, such as NMR spectra. The algorithmic decision-making was limited to maximizing catalyst performance11, which is analogous to autonomous synthesis platforms that maximize yield for a reaction using NMR23 or chromatographic10,24 peak areas.
Continue reading “Autonomous mobile robots for exploratory synthetic chemistry” »
A team of EU scientists is developing a new advanced camera that uses photonics to reveal what the eye cannot see. This innovative system is being developed to transform various industries, including vertical farming. It will allow farmers growing crops like salads, herbs, and microgreens to detect plant diseases early, monitor crop health with precision, and optimise harvest times — boosting yields by up to 20%.
A new European consortium funded under the Photonics Partnership is developing a new imaging platform that ensures everything from crops to factory products is of the highest quality by detecting things humans simply cannot.
Called ‘HyperImage’, the project aims to revolutionise quality assurance and operational efficiency across different sectors. This high-tech imaging system uses AI machine learning algorithms to identify objects for more precise decision-making.
Abstract. Type H vessels have been proven to couple angiogenesis and osteogenesis. The decline of type H vessels contributes to bone loss in the aging process. Aging is accompanied by the accumulation of advanced oxidation protein products (AOPPs). However, whether AOPP accumulation is involved in age-related decline of type H vessels is unclear. Here, we show that the increase of AOPP levels in plasma and bone were correlated with the decline of type H vessels and loss of bone mass in old mice. Exposure of microvascular endothelial cells to AOPPs significantly inhibited cell proliferation, migration, and tube formation, increased NADPH oxidase activity and excessive reactive oxygen species generation, upregulated the expression of vascular cell adhesion molecule-1 and intercellular cell adhesion molecule-1, and eventually impaired angiogenesis, which was alleviated by redox modulator N-acetylcysteine and NADPH oxidase inhibitor apocynin. Furthermore, reduced AOPP accumulation by NAC treatment was able to alleviate significantly the decline of type H vessels, bone mass loss and deterioration of bone microstructure in old mice. Collectively, these findings suggest that AOPPs accumulation contributes to the decline of type H vessels in the aging process, and illuminate a novel potential mechanism underlying age-related bone loss.
The Quantum Insider (TQI) is the leading online resource dedicated exclusively to Quantum Computing.
NASA says its Atmospheric Waves Instrument (AWE) recorded a series of intense gravity waves at high altitudes during Hurricane Helene.
SpaceX Dragon demonstrated its capability to reboost the International Space Station (ISS) for the first time on Friday, with the spacecraft’s Draco thrusters adjusting the station’s orbit.
What Happened: The spacecraft adjusted the station’s orbit through a reboost of altitude by 7/100 of a mile at apogee and 7/10 of a mile at perigee, NASA said. The Dragon spacecraft fired its Draco thrusters for about 12 minutes and 30 seconds in the process.
The Roscosmos Progress spacecraft and the Northrop Grumman Cygnus spacecraft also provide reboost for the space station now.
Scientists have developed an AI-based authentication scheme to enhance vehicle security in the Internet of Vehicles (IoV).
Scientists claim to have developed an artificial intelligence tool to consolidate the privacy of vehicles and their drivers.
How to preserve the privacy of the so-called Internet of Vehicles (IoV) has emerged as a major challenge due to geographical mobility of vehicles and insufficient resources, the scientists say.
Continue reading “AI-based authentication scheme can safeguard vehicles from cyber threats” »
Researchers at Tufts University have identified root causes for AI’s poor conversational timing.
When you have a conversation today, notice the natural points when the exchange leaves open the opportunity for the other person to chime in. If their timing is off, they might be taken as overly aggressive, too timid, or just plain awkward.
The back-and-forth is the social element to the exchange of information that occurs in a conversation, and while humans do this naturally—with some exceptions—AI language systems are universally bad at it.
