LiveCtx Boosts Conversational AI Accuracy by Selecting Context at Query Time
A study shows that delaying conversation history compression until query time improves answer accuracy in long-running artificial intelligence dialogues.
A study shows that delaying conversation history compression until query time improves answer accuracy in long-running artificial intelligence dialogues.
Researchers have introduced a novel framework called FAAM, or Federated Averaging with Attention Mechanism, designed to improve the efficiency and ...
A computational workflow named CELLIA pairs statistical differential expression metrics with curated marker databases to improve the accuracy and consistency ...
A comprehensive vehicle-level simulation reveals how battery cell chemistry selection depends heavily on vehicle size and operating duty cycles across ...
A genome-wide sequencing study of Turkish Awassi sheep has identified genetic signatures associated with milk yield, carcass structure, and environmental ...
A study in a Queensland cattle rangeland reveals that rufous bettongs construct grass-roofed shelters that lower daytime thermal extremes by ...
Researchers applied an Analytic Hierarchy Process framework to rank candidate sites in Budapest and selected the Március 15 Square parking ...
A new study of Pannon White rabbits shows that embryos' hidden inbreeding load reduces kits born alive more strongly than ...
Vaccination coverage worldwide is not slowly climbing toward herd immunity. It is orbiting a stable rest point below it. That ...
A scoping review found that implant selection in first-time elective aseptic revision knee arthroplasty is supported mainly by low-level retrospective ...
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© 2026 Scienmag - Science Magazine