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The annual AAAI/EAAI Outstanding Educator Award was created in 2016 to honor a person (or group of people) who has made major contributions to AI education that provide long-lasting benefits to the AI community. Past recipients: [11] Peter Norvig and Stuart Russell (2016) Sebastian Thrun (2017) Todd W. Neller (2018) Ashok Goel (2019) Marie ...
The AAAI Award for Artificial Intelligence for the Benefit of Humanity is an annual prize given by the Association for the Advancement of Artificial Intelligence to recognize the positive impacts of AI to meaningfully improve, protect, and enhance human life. The award is presented annually at the AAAI conference in February. [1]
Learn how to download and install or uninstall the Desktop Gold software and if your computer meets the system requirements.
The David E. Rumelhart Prize is an annual award for making a "significant contemporary contribution to the theoretical foundations of human cognition". The prize is $100,000. The Human-Competitive Award [1] is an annual challenge started in 2004 to reward results "competitive with the work of creative and inventive humans". The prize is $10,000.
Fellowship of the Association for the Advancement of Artificial Intelligence (abbreviated as AAAI Fellow or FAAAI) is an award granted to individuals that the Association for the Advancement of Artificial Intelligence (AAAI), judged to have made "significant, sustained contributions — usually over at least a ten-year period — to the field of artificial intelligence" (AI).
A software license is a legal instrument that governs the usage and distribution of computer software. [1] Often, such licenses are enforced by implementing in the software a product activation or digital rights management (DRM) mechanism, [2] seeking to prevent unauthorized use of the software by issuing a code sequence that must be entered into the application when prompted or stored in its ...
Bo Li (2022) for her contributions to uncovering the underlying connections among robustness, privacy, and generalization in AI, showing how different models are vulnerable to malicious attacks, and how to eliminate these vulnerabilities using mathematical tools that provide robustness guarantees for learning models and privacy protection. [7]