In today's digital age, the importance of data centers cannot be overstated. As organizations transition to cloud computing and digital services, ...
An AI agent reads its own source code, forms a hypothesis for improvement (such as changing a learning rate or an architecture depth), modifies the code, runs the experiment, and evaluates the results ...
Data science and analytics are entering a phase of recalibration, where measured contribution outweighs technical ambition. Executive focus has moved ...
Louse-borne relapsing fever (LBRF), caused by Borrelia recurrentis and transmitted by the human body louse, remains a persistent health emergency in Ethiopia, resulting in preventable mortality among ...
Scientists usually study the molecular machinery that controls gene expression from the perspective of a linear, two-dimensional genome—even though DNA and its bound proteins function in three ...
To enable more accurate estimation of connectivity, we propose a data-driven and theoretically grounded framework for optimally designing perturbation inputs, based on formulating the neural model as ...
Few companies have been able to fundamentally change their operating and business models around AI. The primary obstacle to ...
Despite widespread industry recommendations, a new ETH Zurich paper concludes that AGENTS.md files may often hinder AI coding agents. The researchers recommend omitting LLM-generated context files ...
A lean team of 15 researchers, many in their twenties, at Sarvam successfully built a 105-billion-parameter foundational LLM from scratch. Spearheaded by Rahul Aralikatte, the young team managed data ...
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