IEEE Intelligent Systems

🎉Congratulations 🎉our own Prof. Atlas, for being named as one of IEEE "AI's 10 to Watch" 2022! It is so well deserved. Keep "holding the torch high" for us, Atlas! computer.org/publications/t… @utexasece @ieeeintelligent @IEEEComputerSoc

Atlas Wang of @utexasece and @VITAGroupUT has been named one of @ComputerSociety "AI's 10 to Watch" computer.org/publications/t…

@soujanyaporia so proud of you ! 🫶Well deserved! computer.org/publications/t…

Congratulations to @tangjiliang for being named as one of IEEE "AI's 10 to Watch" in 2022!

Huge congratulations to our PI Prof. Bo Li, for being named as one of IEEE "AI's 10 to Watch" 2022! computer.org/publications/t…… @IllinoisCS @ieeeintelligent @IEEEComputerSoc

They were selected by a selection committee from a large pool of strong individuals who had obtained their Ph.D. up to 10 years prior. The selection was based solely on scientific quality, reputation, impact, and expert endorsements. computer.org/csdl/magazine/…

Big congrats to 2022 #IEEE #AI10toWatch awardees Bo Li, Tongliang Liu, Liqiang Nie, Soujanya Poria, Deqing Sun, Yizhou Sun, Jiliang Tang, Atlas Wang, Yin Hongzhi, and Liang Zheng.

Interested in exploring knowledge-based entity prediction to improve machine perception in autonomous systems? Check out the article “Knowledge-Based Entity Prediction for Improved Machine Perception in Autonomous Systems” at lnkd.in/gHZzhF-d

It provides a more secure mechanism without delays in encryption and decryption. Check out the full article at lnkd.in/gf_auwfk. 2/2 #cryptography

Cryptography plays an important role in ensuring the security of autonomous systems. The article “CryptoCliqIn: Graph-Theoretic Cryptography Using Clique Injection” introduces a graph-theoretic encryption method using clique injection. 1/2 #cryptography

#CFP #SpecialIssue on "AI for Critical Infrastructure Resilience", organized by guest editors Carlos Enrique Montenegro Marin, Alfred Daniel, and Guangjie Han, calls for your submissions. Submissions Due: 15 July 2023 Webpage: computer.org/digital-librar… #AI @ComputerSociety

Check out the #AIFocus article "Expert–Machine Collaborative Decision Making: We Need Healthy Competition" computer.org/csdl/magazine/… for an in-depth discussion of the shortcomings of current interactive ML and the use of expert-machine collaboration approaches to address them.

Interested in human-centered hybrid cyber physical social systems (CPSS)? Check out the #AIExpert column article "Parallel Population and Parallel Human—A Cyber-Physical Social Approach" computer.org/csdl/magazine/… contributed by Peijun Ye and @FeiYueWang2. #cps #cpss #cyber

What is AutoAI? and what are the differences between AutoML and AutoAI? Check out the #EditorsPerspective column article "Beyond AutoML: Mindful and Actionable AI and AutoAI With Mind and Action" lnkd.in/gWeHiPiZ for a comprehensive discussion. #AutoML #AutoAI #AI

The Issue highlights six feature articles. There are also three column and one department articles highlighting the difference between autoAI vs autoML, cyber physical social systems (CPSS), expert–machine collaboration, and intelligent mobile spaces vs. metaverses, respectively.

Interested in autoML, or autonomous systems? What are the differences between them? Check out the Sept-Oct 2022 Issue of IEEE Intelligent Systems with a theme on "AutoAI: Autonomous AI" at computer.org/csdl/magazine/… 1/2 #autonomoussystems #ai #cyber #autoai #automl #metaverse

Insights on various issues of deployment in production are elaborated, including establishing trust with business users and stakeholders, respecting constraints in model deployment, and appreciating the costs and return on investment in deploying data science models in production

Why many successful ML models end up not being deployed in real applications? Check out the #AIInsight column article "The Secrets of Data Science Deployments" lnkd.in/gePPyHCq, contributed by our column editor @usamaf. #DataScience #deployment #AI #MachineLearning

Predictive maintenance is one of the techniques with high impact in Industry 4.0. Check out the #AIFocus column article "Data-Driven Predictive Maintenance" computer.org/csdl/magazine/… for data-driven solutions to this problem.

The work introduces a theoretical framework of scenarios engineering from six dimensions: Intelligence and Index (I&I), Calibration and Certification (C&C), and Validation and Verification (V&V). #truthworthyAI #ai

Check out the recently published #AIExpert column article on #trustworthyAI, "From Features Engineering to Scenarios Engineering for Trustworthy AI: I&I, C&C, and V&V" computer.org/csdl/magazine/…, contributed by the column editor @FeiYueWang2 and co-authors