
Tag: algorithms
COVID-19 has apparently completed what AI ethicists started: Eliminating the public use of facial recognition technology. At least, that’s one possible conclusion that can be drawn from a new study from the National Institute of Standards and Technology, which found that even the best facial recognition algorithms struggled to identify people wearing masks. Read more…
A new AI programming language seeks to ease the process of writing inference algorithms and other predictive models without the hassle of grinding out complicated equations and code.
Among the goals of the probabilistic programming system dubbed “Gen” is making it easier for coding novices to write models and algorithms for broader AI applications such as computer vision and robotics. Read more…
The design of a neural network architecture remains a daunting problem, requiring human expertise and lots of computing resources. The soaring computational requirements of neural architecture search (NAS) algorithms used in developing neural network frameworks make it difficult to search architectures such as ImageNet. Read more…
The ability to reckon the value of what for many is their most valuable asset increased with the award this week of the Zillow Prize, a contest to tweak the accuracy of its Zestimate algorithm. Read more…
Researchers are churning out new algorithms initially designed to improve situational awareness in the sky while also helping pilots avoid dangerous weather and costly flight delays.
Knowing where you are on the clouds in relation to other aircraft is a fundamental flight safety requirement, and the stormy skies are not getting any less crowded. Read more…
A recent report emerging from the center of U.S. auto manufacturing rains on the AI parade with research results claiming autonomous vehicle algorithms fare poorly in bad weather.
The study by researchers at Michigan State University found that even light rain or drizzle can interfere with algorithms used in self-driving car cameras. Read more…
Collaborative filtering (CF)[1] based on the alternating least squares (ALS) technique[2] is another algorithm used to generate recommendations. It produces automatic predictions (filtering) about the interests of a user by collecting preferences from many other users (collaborating). Read more…
Amazon recently cancelled an AI-driven recruiting program after it was discovered that it led to bias in hiring recommendations. But does that mean that machine learning has no role in human resources? Read more…
If you have skimmed through the high tech job listings lately, you’ve surely noticed the demand for data scientists. Although there is no consensus on the exact job definition, many companies want data experts and are willing to pay a high price for the right candidates. Read more…
Like most Fortune 50 firms, General Electric relies on an abundance of computer systems to power its enterprise. And like most firms that size, synching up and aligning the data emitted by different systems is a major challenge. Read more…