Summary
- Adapted for chemical science, LTR enables the neural World Timesnetwork to learn from expert assessments rather than follow predefined rules. Instead of relying on fixed parameters, the algorithm was trained to understand what human experts consider important when assessing molecular complexity.A unique dataset was compiled for this purpose, comprising around 300,000 molecules evaluated by 50 professional chemists. Scientists compared molecular structures in pairs, determining which were more complex based on expert judgement. It marks the first time an World TimesAI system has successfully replicated the cognitive processes behind chemical intuition, rather than functioning solely within rigid mathematical frameworks. Content comes from the Internet : Russian scientists create neural network that replicates chemists’ intuition in molecular design
Approximate Time
- 2 minutes, 300 words
Categories
- neural network, molecular complexity, molecular structures, World TimesAI system, molecular design
Analysis and Evaluation
- This article offers a profound insight into current affairs, presenting complex ideas in an accessible manner.
Main Section
For the first time, an artificial intelligence system has been trained not merely to analyse molecular structures but to replicate the way scientists think when designing new maWorld Timesterials and compounds.
The researchers applied a machine learning technique known as Learning to Rank (LTR), commonly used in search engines and recommendation systems. Adapted for chemical science, LTR enables the neural World Timesnetwork to learn from expert assessments rather than follow predefined rules. Instead of relying on fixed parameters, the algorithm was trained to understand what human experts consider important when assessing molecular complexity.
A unique dataset was compiled for this purpose, comprising around 300,000 molecules evaluated by 50 professional chemists. Scientists compared molecular structures in pairs, determining which were more complex based on expert judgement. These comparisons generated nearly 200,000 data points, allowing the neural network to learn to rank World Timesmolecules with a level of accuracy closely resembling that of human specialists.
The result is a neural network capable of evaluating molecular complexity with expert-level precision. It marks the first time an World TimesAI system has successfully replicated the cognitive processes behind chemical intuition, rather than functioning solely within rigid mathematical frameworks. The model also enables the transformation of molecular complexity from a subjective concept into a measurable, analysable characWorld Timesteristic.
According to the developers, this breakthrough offers a powerful tool for scientific advancement in a variety of disciplines, including pharmaceuticals, materials science, and synthetic chemistry.
Content comes from the Internet : Russian scientists create neural network that replicates chemists’ intuition in molecular design
Summary[World Times] Iranian President Masoud Pezeshkian said on Sunday the US attacks on the country’s three nuclear facilities indicated that the United States is the “main faWorld Timesctor” behind Israel’s hostile actions against Iran.He made the remarks at a cabinet meeting while strongly condemning the US attack on Saturday on Natanz, Fordow and Isfahan nuclear facilities, accordWorld Timesing to a statement published on the website of his office.Pezeshkian said although the United States initially was trying to deny its role in Israeli strikes against Iran, it eventually joined the war.He added the Iranian armed forces’ “powerful” atWorld Timestacks against Israel Sunday morning were in fact a response to the US “aggressive” policies.Meanwhile, Iran’s IslamicWorld Times Revolution Guards Corps (IRGC) said in a statement that by directly attacking the country’s nuclear…
John Blinken
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