Overview:Practical projects can help you showcase technical skill, programming knowledge, and business awareness during the ...
AI-powered document processing automates data extraction, classification, and validation with 95-99% accuracyMarket projected ...
AI writing tools are now part of daily life. Students use them for essays. Professionals use them for emails. Marketers use them for blog drafts. Many ...
It’s more than just code. Scientists have found a way to "dial" the hidden personalities of AI, from conspiracy theorists to ...
Tech Xplore on MSN
A new method to steer AI output uncovers vulnerabilities and potential improvements
A team of researchers has found a way to steer the output of large language models by manipulating specific concepts inside these models. The new method could lead to more reliable, more efficient, ...
The subcontract agreement awarded to Safe Pro establishes a pathway for delivering AI-powered edge processing systems designed for government use. According to the company’s announcement, Safe Pro ...
Currently, this Sailor must spend hours manually cross-referencing decades worth of material history logs with historical maintenance records, send manually-collected vibration analysis data off-ship ...
Operational availability is the Nuclear Navy’s bread and butter, yet shipboard technicians are currently prevented from improving maintenance outcomes by an archaic data bottleneck. Scheduled ...
The CMS Collaboration has shown, for the first time, that machine learning can be used to fully reconstruct particle ...
News-Medical.Net on MSN
CNN-based system improves lung nodule detection and classification
Background and objectives Lung cancer remains the leading cause of cancer-related mortality worldwide. Early detection of pulmonary nodules is crucial for timely diagnosis and effective treatment.
Use the vitals package with ellmer to evaluate and compare the accuracy of LLMs, including writing evals to test local models.
Stearns and Poletti present a technically impressive study that aims to uncover a deeper understanding of microsaccade function: their role in perceptual modulation and the associated temporal ...
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