Tech Times

LLM Data Mixture Breaks When Training Pools Shift: Causal Inference Offers Fix

LLM training data mixture optimization breaks when training pools shift — every prior proxy experiment becomes stale.
Drug Target Review

From R&D to QC: building a single analytical strategy for cell and gene therapies

From early research to quality control, maintaining analytical continuity is no easy task. Could a single sequencing workflow help simplify analytical assessment?
Tech Times

Dispatchable Solar Clears 1 GW: China’s Gobi Desert Plant Runs After Sunset

Concentrated solar power with molten salt storage has reached 1 gigawatt scale: China Three Gorges Corporation’s Hami plant ...
eLife

TopoMetry systematically learns and evaluates the latent geometry of single-cell data

A framework for analyzing single-cell genomics data, in which geometrical properties are harnessed to obtain insights on cellular diversity, including precise clustering, clear visualizations, and ...
Autoblog

How Much Range Does Your EV Lose After 5 Years? Here’s The Real Data

From Audi’s e-tron to the Nissan Leaf, mainstream electric cars now cluster between 87% and 94% range retention after five years, marking a dramatic leap in battery longevity. “Roll up to a tailgate ...
eLife

Development of auditory and spontaneous movement responses to music over the first postnatal year

Although auditory encoding of music is robust early in infancy, the transformation of this input into movement patterns develops substantially over the first postnatal year, without reaching full ...
Visual Studio Magazine

Support Vector Regression with SGD Training Using C#

Support vector regression can predict numeric values effectively, and this article shows how to implement and train a kernel SVR model in C# using stochastic sub-gradient descent.