Over the past decades, computer scientists have introduced numerous artificial intelligence (AI) systems designed to emulate the organization and functioning of networks of neurons in the brain.
This sets unrealistic expectations for AI and leads to misuse. It also slows progress toward building new AI applications.
Our conferences face a growing crisis: an overwhelming flood of submissions, increased reviewing burdens, and diminished opportunities for meaningful engagement. With AI making paper generation easier ...
Bay Area organizations and programs dedicated to helping older adults feel more comfortable using technology offer classes in ...
At MWC26, industry leaders from Vodafone, Intel, Dell, and Samsung discuss the evolution towards AI-ready, cloud-native and ...
A new suite of tools and services address need for high-quality domain-specific datasets and human feedback pipelines ...
No amount of data crunching could have foretold the story of Zach Navejas ’14. His love for math propelled him to a Bachelor ...
Cerf’s February 2026 Communications Cerf’s Up column, “Does AI Now Represent a Paradigm Shift?” rightly characterizes modern ...
A poll worker with the Palm Beach County Supervisor of Elections Office accused of stealing an encrypted access key is facing ...
AXL, a Canadian venture studio transforming applied AI research into high-growth companies, has announced its inaugural cohort of Faculty Fellows, a group of nine distinguished researchers, all ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results