NIST

 

Registration open for NIST International Face Performance Conference 2018

NIST has announced its International Face Performance Conference (IFPC) 2018, where industry researchers and stakeholders will explore technical factors affecting…

 

Strativia receives $75M contract from NIST

Strativia has received a $75M contract award from the National Institute of Standards and Technology (NIST) to provide scientific, technical,…

 

Vetting security of mobile apps addressed in draft NIST special publication

Because of the level of the abundant risks due to vulnerabilities in multitudes of mobile communications apps, a 50-page draft…

 

NIST quantifies gene frequency to establish basis for DNA identification with next generation sequencing

The National Institute of Standards and Technology (NIST) has developed a statistical foundation for extending DNA matching beyond “DNA fingerprints”…

 

Herta finishes in top 3 at biometric technology rally hosted by Homeland Security and NIST

Herta has placed in the top three facial recognition vendors, with scores among the highest for efficiency, customer satisfaction, and…

 

Panasonic’s new facial recognition engine scores most accurate in NIST testing

The core engine of Panasonic Business’ new deep learning facial recognition platform Face Server, developed jointly with the National University…

 

IARPA challenge aims to improve face recognition

The Intelligence Advanced Research Projects Activity (IARPA) in partnership with the National Institute of Standards and Technology (NIST) is holding…

 

YITU takes top spot on NIST Facial Recognition Vendor Test leaderboard

YITU Technology has taken first place on the NIST facial recognition testing leaderboard for the second year in a row,…

 

Gemalto shines at DHS 2018 Biometric Technology Rally

Gemalto revealed today that its Live Face Identification System (LFIS) excelled at the 2018 Biometric Technology Rally which sponsored by…

 

Researchers find combination of human experts and algorithms most accurate for facial recognition

A team of scientists from NIST and three universities has found that trained experts in facial recognition make more accurate…

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