🎉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! https://t.co/mV2FuA2Tec
@utexasece@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. https://t.co/23dHuMgTsS
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 https://t.co/vibyjzto95
It provides a more secure mechanism without delays in encryption and decryption. Check out the full article at https://t.co/LJVMzL7DMh. 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: https://t.co/LbdBDagtpN
#AI@ComputerSociety
Check out the #AIFocus article "Expert–Machine Collaborative Decision Making: We Need Healthy Competition" https://t.co/pAyZEar67Z 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" https://t.co/ueh7tM9VBO 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" https://t.co/PORZ01FKrA 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 https://t.co/YtL4OVdx58 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" https://t.co/AzgKP0gLpd, 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" https://t.co/muKtM0iIbk 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" https://t.co/tpTBa2VfIV, contributed by the column editor @FeiYueWang2 and co-authors