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Publication search results
found 36 matches
- 2019
- S. Agrawal, Anush Sankaran, Anirban Laha, Saneem A. Chemmengath, Disha Shrivastava, Karthik Sankaranarayanan:
What is deemed computationally creative? IBM J. Res. Dev. 63(1): 3:1-3:12 (2019) - Alon Amid, Kiseok Kwon, Amir Gholami, Bichen Wu, Krste Asanovic, Kurt Keutzer:
Co-design of deep neural nets and neural net accelerators for embedded vision applications. IBM J. Res. Dev. 63(6): 6:1-6:14 (2019) - Matthew Arnold, Rachel K. E. Bellamy, Michael Hind, Stephanie Houde, Sameep Mehta, Aleksandra Mojsilovic, Ravi Nair, Karthikeyan Natesan Ramamurthy, Alexandra Olteanu, David Piorkowski, Darrell Reimer, John T. Richards, Jason Tsay, Kush R. Varshney:
FactSheets: Increasing trust in AI services through supplier's declarations of conformity. IBM J. Res. Dev. 63(4/5): 6:1-6:13 (2019) - Venkat S. K. Balagurusamy, Cyril Cabral, Srikumar Coomaraswamy, Emmanuel Delamarche, Donna N. Dillenberger, Gero Dittmann, Daniel Friedman, Onur Gökçe, Nigel Hinds, Jens Jelitto, Andreas Kind, Ashwin Dhinesh Kumar, Frank Libsch, Joseph W. Ligman, Seiji Munetoh, Chandra Narayanaswami, Abhilash Narendra, Arun Paidimarri, Miguel Ángel Prada-Delgado, James T. Rayfield, Chitra K. Subramanian, Roman Vaculín:
Crypto anchors. IBM J. Res. Dev. 63(2/3): 4:1-4:12 (2019) - Avinash Balakrishnan, Djallel Bouneffouf, Nicholas Mattei, Francesca Rossi:
Using multi-armed bandits to learn ethical priorities for online AI systems. IBM J. Res. Dev. 63(4/5): 1:1-1:13 (2019) - Rachel K. E. Bellamy, Kuntal Dey, Michael Hind, Samuel C. Hoffman, Stephanie Houde, Kalapriya Kannan, Pranay Lohia, Jacquelyn Martino, Sameep Mehta, Aleksandra Mojsilovic, Seema Nagar, Karthikeyan Natesan Ramamurthy, John T. Richards, Diptikalyan Saha, Prasanna Sattigeri, Moninder Singh, Kush R. Varshney, Yunfeng Zhang:
AI Fairness 360: An extensible toolkit for detecting and mitigating algorithmic bias. IBM J. Res. Dev. 63(4/5): 4:1-4:15 (2019) - Fabrice Benhamouda, Shai Halevi, Tzipora Halevi:
Supporting private data on Hyperledger Fabric with secure multiparty computation. IBM J. Res. Dev. 63(2/3): 3:1-3:8 (2019) - Hung-Yang Chang, Pritish Narayanan, Scott C. Lewis, Nathan C. P. Farinha, Kohji Hosokawa, Charles Mackin, Hsinyu Tsai, Stefano Ambrogio, An Chen, Geoffrey W. Burr:
AI hardware acceleration with analog memory: Microarchitectures for low energy at high speed. IBM J. Res. Dev. 63(6): 8:1-8:14 (2019) - Minsik Cho, Ulrich Finkler, Mauricio J. Serrano, David S. Kung, Hillery C. Hunter:
BlueConnect: Decomposing all-reduce for deep learning on heterogeneous network hierarchy. IBM J. Res. Dev. 63(6): 1:1-1:11 (2019) - Daphne L. Coates, Andrew Martin:
An instrument to evaluate the maturity of bias governance capability in artificial intelligence projects. IBM J. Res. Dev. 63(4/5): 7:1-7:15 (2019) - Francisco Curbera, Daniel M. Dias, Vahan Simonyan Simonyan, Woong A. Yoon, Alex Casella:
Blockchain: An enabler for healthcare and life sciences transformation. IBM J. Res. Dev. 63(2/3): 8:1-8:9 (2019) - Donna Dillenberger, Petr Novotný, Q. Zhang, Praveen Jayachandran, H. Gupta, Sandeep Hans, Dinesh C. Verma, Shreya Chakraborty, J. J. Thomas, M. M. Walli, Roman Vaculín, Kanthi K. Sarpatwar:
Blockchain analytics and artificial intelligence. IBM J. Res. Dev. 63(2/3): 5:1-5:14 (2019) - Evangelos Eleftheriou, Manuel Le Gallo, S. R. Nandakumar, Christophe Piveteau, Irem Boybat, Vinay Joshi, Riduan Khaddam-Aljameh, Martino Dazzi, Iason Giannopoulos, Geethan Karunaratne, Benedikt Kersting, Milos Stanisavljevic, Vara Prasad Jonnalagadda, Nikolas Ioannou, Kornilios Kourtis, Pier Andrea Francese, Abu Sebastian:
Deep learning acceleration based on in-memory computing. IBM J. Res. Dev. 63(6): 7:1-7:16 (2019) - Elliot J. Fuller, Yiyang Li, Christopher H. Bennett, Scott T. Keene, Armantas Melianas, Sapan Agarwal, Matthew J. Marinella, Alberto Salleo, A. Alec Talin:
Redox transistors for neuromorphic computing. IBM J. Res. Dev. 63(6): 9:1-9:9 (2019) - Pablo Gervás, Eugenio Concepción, Carlos León, Gonzalo Méndez, Pablo Delatorre:
The long path to narrative generation. IBM J. Res. Dev. 63(1): 8:1-8:10 (2019) - Saugata Ghose, Amirali Boroumand, Jeremie S. Kim, Juan Gómez-Luna, Onur Mutlu:
Processing-in-memory: A workload-driven perspective. IBM J. Res. Dev. 63(6): 3:1-3:19 (2019) - Subramanian S. Iyer, SivaChandra Jangam, Boris Vaisband:
Silicon interconnect fabric: A versatile heterogeneous integration platform for AI systems. IBM J. Res. Dev. 63(6): 5:1-5:16 (2019) - Shubham Jain, Aayush Ankit, Indranil Chakraborty, Tayfun Gokmen, Malte J. Rasch, Wilfried Haensch, Kaushik Roy, Anand Raghunathan:
Neural network accelerator design with resistive crossbars: Opportunities and challenges. IBM J. Res. Dev. 63(6): 10:1-10:13 (2019) - Pegah Karimi, Mary Lou Maher, Kazjon Grace, Nicholas Davis:
A computational model for visual conceptual blends. IBM J. Res. Dev. 63(1): 5:1-5:10 (2019) - Elham Khabiri, Ying Li, Pietro Mazzoleni, Dharmesh Vadgama:
Cognitive color palette creation using client message and color psychology. IBM J. Res. Dev. 63(1): 4:1-4:10 (2019) - Yacov Manevich, Artem Barger, Yoav Tock:
Endorsement in Hyperledger Fabric via service discovery. IBM J. Res. Dev. 63(2/3): 2:1-2:9 (2019) - Pedro Martins, Hugo Gonçalo Oliveira, João Gonçalves, António Cruz, Amílcar Cardoso, Martin Znidarsic, Nada Lavrac, Simo Linkola, Hannu Toivonen, Raquel Hervás, Gonzalo Méndez, Pablo Gervás:
Computational creativity infrastructure for online software composition: A conceptual blending use case. IBM J. Res. Dev. 63(1): 9:1-9:17 (2019) - Saibal Mukhopadhyay, Yun Long, Burhan Ahmad Mudassar, C. S. Nair, Bartlet H. DeProspo, Hakki Mert Torun, M. Kathaperumal, V. Smet, Duckhwan Kim, Sudhakar Yalamanchili, Madhavan Swaminathan:
Heterogeneous integration for artificial intelligence: Challenges and opportunities. IBM J. Res. Dev. 63(6): 4:1 (2019) - Chandra Narayanaswami, Raj Nooyi, Srinivasa Raghavan Govindaswamy, R. Viswanathan:
Blockchain anchored supply chain automation. IBM J. Res. Dev. 63(2/3): 7:1-7:11 (2019) - Ritesh Noothigattu, Djallel Bouneffouf, Nicholas Mattei, Rachita Chandra, Piyush Madan, Kush R. Varshney, Murray Campbell, Moninder Singh, Francesca Rossi:
Teaching AI agents ethical values using reinforcement learning and policy orchestration. IBM J. Res. Dev. 63(4/5): 2:1-2:9 (2019) - Anupama Ray, P. Agarwal, Chandresh Kumar Maurya, Gargi Dasgupta:
Creative tagline generation framework for product advertisement. IBM J. Res. Dev. 63(1): 6:1-6:10 (2019) - Maria Y. Rodriguez, Diane DePanfilis, Paul Lanier:
Bridging the gap: Social work insights for ethical algorithmic decision-making in human services. IBM J. Res. Dev. 63(4/5): 8:1-8:8 (2019) - Prasanna Sattigeri, Samuel C. Hoffman, Vijil Chenthamarakshan, Kush R. Varshney:
Fairness GAN: Generating datasets with fairness properties using a generative adversarial network. IBM J. Res. Dev. 63(4/5): 3:1-3:9 (2019) - Katharina Simbeck:
HR analytics and ethics. IBM J. Res. Dev. 63(4/5): 9:1-9:12 (2019) - Biplav Srivastava, Francesca Rossi:
Rating AI systems for bias to promote trustable applications. IBM J. Res. Dev. 63(4/5): 5:1-5:9 (2019)
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