Warning: Objects in driverless car sensors may be closer than they appear
Researchers at Duke University have demonstrated the first attack strategy that can fool industry-standard autonomous vehicle sensors into believing nearby objects are closer (or further) than they appear without being detected.
Meaningful standards for auditing high-stakes artificial intelligence
When hiring, many organizations use artificial intelligence tools to scan resumes and predict job-relevant skills. Colleges and universities use AI to automatically score essays, process transcripts and review extracurricular activities to predetermine who is likely to be a "good student.
Study highlights the potential of neuromorphic architectures to perform random walk computations
Over the past decade or so, many researchers worldwide have been trying to develop brain-inspired computer systems, also known as neuromorphic computing tools. The majority of these systems are currently used to run deep learning algorithms and other artificial intelligence (AI) tools.
You're doing it wrong: You need to compare apples to oranges
Ben-Gurion University of the Negev researchers argue in a new paper that previous tests of virtual reality versus social robots for cognitive training compare apples to apples when they really need to be comparing apples to oranges.
Ukraine harnesses Clearview AI to uncover assailants and identify the fallen
Ukraine is using Clearview AI’s facial recognition software to uncover Russian assailants and identify Ukrainians who’ve sadly lost their lives in the conflict.
Can AI transform small businesses and grow prosperity across North America?
"We have to enable AI-powered small businesses to serve their customers better with access to data-driven decisions and industry innovation."
Ukraine reportedly adopts Clearview AI to track Russian invaders
The facial recognition technology has not been made available to Russia.
How we handle language in the metaverse could set the tone for its future
We may need synthetic data to remove language bias in the metaverse so that everyone has a voice -- not just those who shout the loudest.
How decision intelligence could put AI at the center of every business
Decision intelligence can help CTOs and technical teams run data projects that deliver quantifiable results for their businesses.
How an ER simulation helps medical and engineering students see new points of view
Courses designed to foster peer-to-peer learning in virtual spaces can yield research insights across disciplines.
The problem with manual optimization and what to do instead
Despite its inefficiencies, manual optimization is still the process of choice for so many marketers. Why is that?
Executives discuss top challenges in deploying AI — and how to solve them
Deploying AI in the enterprise isn't easy -- surveys show that many AI projects fail. But there are solutions to common setbacks.
Data and AI are keys to digital transformation – how can you ensure their integrity?
In 2022, data and AI have set the stage for the digital revolution. How can orgs ensure that responsibility and ethics are at their core?
Tecton and Redis partner to improve real-time ML services
Tecton and Redis hope to help orgs with more demanding ML use cases, such as real-time pricing or search ranking and recommendations.
Enot.ai debuts solution to optimize deep neural networks
Latvia headquartered AI startup Enot.ai has launched a solution to help AI developers optimize their deep neural networks.
A Forrester analyst's impressions from Mobile World Congress 2022
Overall, MWC22 struck a constructive tone. Overall, the mood was one of getting things done with what is possible and available today.
How Gap leverages data and AI for retail success
At Venturebeat's Data Summit, Heather Mickman, the interim CIO of Gap, shared the company's data journey and how it is leveraging AI for retail success.
Deep learning: A framework for image analysis in life sciences
Scientists are constantly seeking imaging systems that are faster, more powerful and capable of supporting longer observation times. This is especially true in life sciences, where objects of interest are rarely visible to the naked eye. As technological progress allows us to study life on ever smaller scales of time and space, often at less than nanoscale, researchers are also turning to increasingly powerful artificial intelligence programs to sort through and analyze these vast datasets.