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January 12, 2022

AI Exchange Guide to AI and ML Conferences for 2022

AI Exchange Guide to AI and ML Conferences for 2022

Here are the top events in AI and ML, organized into eight categories, from AI and computer vision to neural networks and robotics.

John P. Mello Jr.
John P. Mello Jr.
AI Exchange Guide to AI and ML Conferences for 2022

After the disruption of in-person events in 2021 because of the Covid-19 pandemic, conference organizers are hoping to get their operations back to normal in 2022, but most conferences are including an online component, too. A virtual component can broaden an event's audience and act as a hedge during uncertain times.

Still, there's no substitute for attending a conference in-person. The fields of artificial intelligence, machine learning, computer vision, and related domains are constantly developing. Conferences are a great way to keep pace with those developments—and also see what might be just around the corner. A conference also gives you an opportunity to network with peers and industry experts.

Scale Exchange gathered the top events in AI and ML in 2022. The forums are organized into eight categories—AI, computer vision, data science and management, industry, machine learning, natural language, neural networks, and robotics. Within each category, events are listed chronologically.

Whether you are looking to sharpen old skills or acquire new ones through workshops and tutorials, here are the top conferences of 2022.

Artificial Intelligence 

NVIDIA GTC

Twitter: @NVIDIAGTC

Web: https://www.nvidia.com/gtc/

Date: March 20-24, 2022

Location: McEnery Convention Center, San Jose, Calif. and online

Cost: Virtual conference, free; Deep Learning Institute (DLI) training, $149 (early bird discount available). Conference and training, $480 to $800; one-day conference and training, $270 to $400; exhibits and keynote, $75 to $175; DLI workshops, $200

 This is a global AI conference for learning how to shape the world with the power of AI, computer graphics, data science, and more. Sessions at the event can cover everything from the Metaverse to the Omniverse, from CUDA Python to the future of deep learning.

Who should attend: IT professionals, developers, engineers, inventors, researchers, thought leaders, and technology decision-makers

AI Summit Silicon Valley

Twitter: none

Web: https://sanfrancisco.theaisummit.com/

Date: September 28-29, 2022

Location: Santa Clara Convention Center, Santa Clara, Calif. 

Cost: (2021 pricing) all access pass, $2,699; vertical and tech passes, $2,499

This AI Summit, which includes access to IoT World Silicon Valley, offers attendees an opportunity to gain insights from more than 100 Fortune 500 decision makers, engage with AI developers from over 100 solution providers, and connect with industry peers to talk about a future powered by AI.   

Who Should Attend: IT and R&D professionals, developers

Computer Vision

International Conference on Image Analysis and Processing (ICIAP)

Twitter: @iciap2021

Web: https://www.iciap2021.org/

Date: May 23-27, 2022

Location: Lecce, Italy and online

Cost: €350 to €750, conference; €100-€400, workshops. Early bird, membership, and student discounts available for conference and workshops.

Originally scheduled for September 2021, the 21st ICIAP was moved to 2022 because of the worldwide pandemic. The focus of the conference is on both classic and recent trends in computer vision, pattern recognition, and image processing, and covers both theoretical and application aspects of the fields. Among the topics discussed at the conference are video analysis and understanding, pattern recognition and machine learning, deep learning, multiview geometry and 3D computer vision, and image analysis, detection and recognition.

Who Should Attend: students, experts, researchers, policy makers, and practitioners

IEEE/CVF International Conference on Computer Vision and Pattern Recognition (CVPR)

Twitter: @CVPR

Web: https://cvpr2022.thecvf.com/

Date: June 19-24, 2022

Location: New Orleans, La.

Cost: NA

First held in 1983, the CVPR embraces a broad number of topics in the field of pattern recognition and image processing. Among them are object recognition, image segmentation, motion estimation, 3D reconstruction, and deep learning. The conference is considered highly selective, with paper acceptance rate of less than 30 percent and oral presentation rate of less than five percent.  

Who Should Attend: researchers, developers, academics, students, practitioners

SIGGRAPH 2022

Twitter: @siggraph

Web: https://s2022.siggraph.org/

Date: August 8-11, 2022

Location: Vancouver, B.C., Canada, and online

Cost: (2021) full access, US$200 to $1,200 (early bird, membership, and student discounts available)

SIGGRAPH is one of the leading events for anyone working with computer graphics and interactive techniques. In addition to the conference, the event has one of the largest exhibition of products and services for the graphics and interactive community, as well as a job fair. Content is chosen by experts with an eye on the most remarkable industry advancements.

Who Should Attend: students, researchers, developers, CEOs, marketing and sales managers, film and video producers

International Conference on Pattern Recognition (ICPR)

Twitter: NA

Web: https://www.icpr2022.com/

Date: August 21-25, 2022

Location: Montreal, Quebec, Canada, and online

Cost: NA

ICPR 2022 is the flagship conference of IAPR, the International Association of Pattern Recognition. In addition to the conference, tutorials and workshops will also be held at the event. Professionals working in computer vision, image, sound, speech, pattern recognition, and machine intelligence can update their knowledge and sharpen their skills in all subspecialties of pattern recognition.

Who Should Attend: Professionals working in computer vision, image, sound, speech, pattern recognition, and machine intelligence

2022 IEEE International Conference on Image Processing (ICIP)

Twitter: @ieeeICIP

Web: https://2022.ieeeicip.org/

Date: October 16-19, 2022

Location: Bordeaux, France

Cost: NA 

The ICIP bills itself as world’s largest and most comprehensive technical conference focused on image and video processing and computer vision.

Sponsored by the IEEE Signal Processing Society, the conference will showcase world-class plenary speakers, tutorials, exhibits, special sessions, industry sessions, and women in engineering that creates a forum to foster innovation and entrepreneurship.

Who Should Attend: image and video processing engineers and scientists, students

European Conference on Computer Vision (ECCV)

Twitter: @eccvconf

Web: https://eccv2022.ecva.net/

Date: October 24-28, 2022

Location: Tel Aviv, Israel

Cost: NA

The ECCV is considered a top tier computer vision conference. As of this writing, the conference organizers haven't decided if their event will be physical, virtual, or a combination of the two. In 2020, the event garnered a record 5,150 submissions, double the number submitted in 2018. 

Who Should Attend: students, academics, and industry researchers

Data Science and Management

Open Data Science Conference East

Twitter: @odsc

Web: https://odsc.com/boston/?utm_source=social&utm_medium=linktree

Date: April 19-21, 2022

Location: Boston, Mass. and online

Cost: $799 to $4,663 (early bird and team discounts available)

ODSC East is a large conference drawing more than 5,000 attendees. Its comprehensive, community-focused approach features more than 250 experts, over 300 hours of content, 50 hands-on training sessions, more than 75 workshops, a boot camp, and dozens of opportunities for conference goers to network. It also includes an expo hall featuring leading AI and data science companies. A West Coast version of the conference is usually held at the end of the year.

Who Should Attend: members of the data science community

The Data Science Conference

Twitter: @_tdsc_

Web: https://www.thedatascienceconference.com/

Date: May 12-13, 2022

Location: Chicago, Ill.

Cost: $1,150 (multiple ticket discounts available, as well as $100 discount to anyone who has attended the conference in the past)

The organizers of this conference take pride in keeping it vendor-free, sponsor-free, and recruiter-free. "We have created a conference where the material presented and discussed is substantial and relevant to the data science practitioner," they write at their website. "Participants don't use the conference to do business, but interact as scientists; attendees are treated with decency, dignity, and respect. This is a conference, not an Expo." 

Who Should Attend: data and analytics professionals

SIGIR 2022

Twitter: @SIGIRConf

Web: https://sigir.org/sigir2022/

Date: July 11-15, 2022

Location: Madrid, Spain, and online

Cost: (2021) conference, $50 to $200 (early bird, membership, and student discounts available). Workshops and tutorials, $10 each.

SIGIR 2022 is the annual conference of the Association for Computing Machinery Special Interest Group in Information Retrieval. The conference consists of five days of full papers, short papers, resource papers, demonstrations, tutorials, workshops, doctoral consortium papers, and perspectives papers focused on research and development in the area of information retrieval, as well as an industry track and social events. For the first time in the history of the conference, it will be run in a hybrid mode, with speakers and attendees having the option to participate onsite or online. The number of onsite attendees will be limited to 500, while online registration will be unlimited.

Who Should Attend: members of ACM, students, information retrieval researchers 

48th International Conference on Very Large Data Bases

Twitter: @vldb2022

Web: https://vldb.org/2022/

Date: September 5-9, 2022

Location: Sydney, Australia

Cost: (2021) online, €200; student, €25. Conference and workshops, €860 to €1,100. Conference only, €750 to €1,000. Workshops, €200 to €300. Single day, €300 to €500. Early bird and student discounts available for conference and workshops. 

The VLDB 2021 conference features research talks, tutorials, demonstrations, and workshops. It covers issues in data management, database and information systems research, which the organizers say are the technological cornerstones of the emerging applications of the 21st century.

Who Should Attend: data management and database researchers, vendors, practitioners, application developers, and users

Industry

Data Science Salon: AI and Machine Learning in the Enterprise

Twitter: @DataSciSalon

Web: https://www.datascience.salon/miami/

Date: February 16, 2022

Location: Miami and online

Cost: $995 to $1,125; online, free 

Data Science Salon conferences are vertically focused. At the Miami event, attendees will learn how to apply state-of-the art AI and machine learning techniques in the enterprise. They can also improve their data skills by engaging in live presentations and panel discussions, as well as meet and connect with leading data scientists in a casual atmosphere. A sister event is being held in Austin, Texas, March 10.

Who Should Attend: data scientists, machine learning engineers, analysts, and other senior data specialists. 

Data Science Salon: Applying AI and Machine Learning to Media and Retail

Twitter: @DataSciSalon

Web: https://www.datascience.salon/nyc/

Date: April 27, 2022

Location: New York City and online

Cost: $495 to $1,125 (early bird and group discounts available); online, free

Data Science Salon conferences are vertically focused. At the New York City event, attendees will learn how to apply state-of-the art AI and machine learning techniques to media and retail. They can also Improve their data skills by engaging in live presentations and panel discussions, as well as meet and connect with leading data scientists in a casual atmosphere.

Who Should Attend: data scientists, machine learning engineers, analysts, and other senior data specialists. 

CogX Festival

Twitter: @CogX_Festival

Web: https://www.cogx.live/cogx-festival

Date: June 13-15, 2022

Location: London, U.K. and online

Cost: €495 to €4,995; online, €95

This festival and global summit has a lofty goal: How do we get the next 10 years right? It is one of the world's largest event devoted to the impact of artificial intelligence and other emerging technologies on society and business.  

Who Should Attend: CEOs, entrepreneurs, academics, artists, activists and policy makers 

AutoAI

Twitter: #autoaiusa

Web: https://www.auto-ai.com/

Date: June 20-22, 2022

Location: The Henry Hotel, Detroit, Mich., and online

Cost: $1,147.50 to $2,295 (multiple ticket discounts available)

Auto.AI USA is the leading technical event on deep learning for SAE level 4 and 5 automated vehicles. According to the conference organizers, they've created a range of bespoke packages managed through a dedicated concierge team, allowing attendees to maximize their time on site, meet the people they need to and create lasting value-adding business connections. 

Who Should Attend: machine learning, neural networks, perception and budget experts and decision makers; self-driving vehicle architects; AI, ML, sensor fusion, and computer vision leads; and AI scientists. 

Data Science Salon: Applying AI and Machine Learning to Media, Advertising, and Entertainment

Twitter: @DataSciSalon

Web: https://www.datascience.salon/la/

Date: August 17, 2022

Location: Los Angeles, Calif. and online

Cost: $495 to $1,125 (early bird and group discounts available); online, free

Data Science Salon conferences are vertically focused. At the L.A. event, attendees will learn how to apply state-of-the art AI and machine learning techniques to media, advertising, and entertainment. They can also Improve their data skills by engaging live presentations and panel discussions, as well as meet and connect with leading data scientists in a casual atmosphere.

Who Should Attend: data scientists, machine learning engineers, analysts, and other senior data specialists.

Data Science Salon: Applying AI and Machine Learning to Finance and Health Care

Twitter: @DataSciSalon

Web: https://www.datascience.salon/miami-oct/

Date: October 19, 2022

Location: Miami, Fla. and online

Cost: $495 to $1,125 (early bird and group discounts available); online, free 

Data Science Salon conferences are vertically focused. At the Miami event, attendees will learn how to apply state-of-the art AI and machine learning techniques to finance and health care. They can also Improve their data skills by engaging live presentations and panel discussions, as well as meet and connect with leading data scientists in a casual atmosphere.

Who Should Attend: data scientists, machine learning engineers, analysts, and other senior data specialists.

Data Science Salon: Applying AI and Machine Learning to Finance and Technology

Twitter: @DataSciSalon

Web: https://www.datascience.salon/nyc-dec/

Date: December 17, 2022

Location: New York City and online

Cost: $495 to $1,125 (early bird and group discounts available); online, free

Data Science Salon conferences are vertically focused. At the New York City event, attendees will learn how to apply state-of-the art AI and machine learning techniques to finance and technology. They can also Improve their data skills by engaging live presentations and panel discussions, as well as meet and connect with leading data scientists in a casual atmosphere.

Who Should Attend: data scientists, machine learning engineers, analysts, and other senior data specialists.

Machine Learning

MLConf

Twitter: @MLconf

Web: https://mlconf.com/

Date: March 31, 2022

Location: New York City

Cost: $249-$2,500

Professionals across many industries and professions are drawn to MLconf to stay current on application of machine learning techniques and practices. Speakers at the event will share AI/ML algorithms, platforms, tools, tips and tricks, and lessons learned. A sister event will be held in San Francisco in November 2022.

Who Should Attend: Individuals with backgrounds in data science, engineering, software, computer vision, research, machine learning, technical leadership, co-founders of startups, professors, and students 

MLSys 2022

Twitter: @MLSysConf

Web: https://mlsys.org/

Date: April 11-14, 2022

Location: Santa Clara Convention Center, Santa Clara, Calif.

Cost: NA

The Conference on Machine Learning and Systems targets research at the intersection of machine learning and systems. The conference seeks to discover new connections in the fields, including identifying best practices and design principles for learning systems, as well as developing novel learning methods and theory tailored to practical machine learning workflows.

Who Should Attend: members of the machine language and systems community

39th International Conference on Machine Learning (ICML)

Twitter: @icmlconf

Web: https://icml.cc/

Date: July 17-22, 2022

Location: Baltimore, Md.

Cost: NA

The ICML is one of the leading international academic conference in machine learning. It's renowned for presenting and publishing cutting-edge research on all aspects of machine learning used in closely related areas like artificial intelligence, statistics, and data science, as well as important application areas such as machine vision, computational biology, speech recognition, and robotics.

Who Should Attend: students, academics, researchers, developers, machine learning professionals

8th International Online and Onsite Conference on Machine Learning, Optimization, and Data Science (LOD)

Twitter: None

Web: https://lod2022.icas.cc/

Date: September 19-22, 2022

Location: Certosa di Pontignano, Siena-Tuscany, Italy, and online

Cost: €580 to €630, onsite; €290 to €340, online. Early bird discounts available for onsite and online conferences.

LOD provides an international forum for the presentation of original interdisciplinary research results, as well as exchange and dissemination of innovative and practical development experiences. The conference includes invited talks, tutorials talks, specialized sessions, industrial tracks, demonstrations, and oral and poster presentations of refereed papers. 

Who Should Attend: members of the machine learning, optimization, and data science community

TransformX 2022

Twitter: @scale_AI

Web: https://scale.com/events/transformx

Date: October 19-21, 2022

Location: San Francisco, Calif.

Cost: NA

The theme of TransformX conferences is exploring the shift in AI and ML from research to reality. Through keynotes, fireside chats, expert panels, and networking opportunities the event addresses topics such as computer vision, natural language processing, MLOps, AI policy, enterprise AI, and breakthrough research.

Who Should Attend: leaders, visionaries, practitioners, researchers, and members of AI and ML community

Natural Language

60th Annual Meeting of the Association for Computational Linguistics (ACL)

Twitter: @aclmeeting

Web: https://www.2022.aclweb.org/

Date: May 22-27, 2022

Location: Dublin, Ireland, and online

Cost: NA

ACL is a leading conference in the field of computational linguistics, covering a broad spectrum of diverse research areas that are concerned with computational approaches to natural language. Conference includes presentations based on research papers, tutorials, and workshops.

Who Should Attend: students, researchers, members of ACL and computational linguistics community 

Conference on Empirical Methods in Natural Language Processing (EMNLP)

Twitter: @emnlpmeeting

Web: (2021) https://2021.emnlp.org/

Date: (2021) November 7-11, 2021

Location: (2021) Barceló Bávaro Convention Centre, Punta Cana, Dominican Republic, and online

Cost: (2021) $75 to $725 (early bird and student discounts available)  

This research conference is a forum for long and short papers on substantial, original, and unpublished research in empirical methods for natural language processing. Some of the presentations at the conference are based on papers accepted by the Transactions of the ACL (TACL) and Computational Linguistics (CL) journals.

Who Should Attend: students, researchers, members of natural language processing community

Neural Networks

Re•Work Deep Learning Summit

Twitter: @reworkdl

Web: https://www.re-work.co/events/deep-learning-summit-2022

Date: February 17-18, 2022

Location: San Francisco, Calif. and online

Cost: $795 to $2,095, onsite; $249, online.

This conference attracts some of the leading innovators working with the latest advances in deep learning algorithms and methods, as well as industry experts in speech and pattern recognition, neural networks, image analysis, and NLP. The mix of academic and business types gives attendees an opportunity to meet AI pioneers and explore real-world case studies that illustrate the business value of AI.   

Who Should Attend: researchers, academics, students, managers, C-level executives

International Conference on Learning Representations (ICLR)

Twitter: @iclr_conf

Web: https://iclr.cc/

Date: April 25-29, 2022

Location: online

Cost: free

The ICLR gathers professionals dedicated to the advancement of representation learning, more commonly known as deep learning. The conference has a reputation for presenting and publishing cutting-edge research on all aspects of deep learning used in the fields of artificial intelligence, statistics, and data science, as well as important application areas such as machine vision, computational biology, speech recognition, text understanding, gaming, and robotics.

Who Should Attend: academic and industrial researchers, entrepreneurs, engineers, students

NeurIPS

Twitter: @NeurIPSConf

Web: (2021) https://nips.cc/Conferences/2021

Date: November 26-December 4, 2022

Location: New Orleans, La.

Cost: (2021) $25, students; $75, academics; $100, all others 

NeurIPS is run by the non-profit Neural Information Processing Systems Foundation whose purpose is to foster the exchange of research advances in artificial intelligence and machine learning, principally by hosting an annual interdisciplinary academic conference. The conference includes invited talks, demonstrations, symposia, and oral and poster presentations of refereed papers. Along with the conference is a professional exposition focusing on machine learning in practice, a series of tutorials, and topical workshops.  

Who Should Attend: students, academics, researchers

Robotics

ACM/IEEE International Conference on Human-Robot Interaction

Twitter: @HRI_Conference

Web: https://humanrobotinteraction.org/2022/

Date: March 7-10, 2022

Location: Online

Cost: Publication fees—$250, full paper; $125, short contribution or late breaking report; $80, video and demo submissions. Conference, $55 to $245. Workshops, $15-$125. Early bird, membership, and student discounts available for conference and workshops.

At this conference, researchers from around the world present their best work about the latest theories, technology, data, demonstrations and videos furthering the state-of-the-art in human-robot interaction. The event was originally scheduled for Sapporo, Japan, but changed to all virtual by the organizers.

Who Should Attend: students, researchers, members of the HRI community

International Conference on Robotics and Automation (ICRA)

Twitter: @ieee_ras_icra

Web: https://icra2022.org/

Date: May 23-27, 2022

Location: Philadelphia, Pa.

Cost: NA

The ICRA is the flagship conference of the IEEE Robotics and Automation Society, It brings together the world's top researchers and most important companies to share ideas and advances in the field of robotics and automation. Many important developments in robotics and automation have historically been first presented and the organizers expect that to be the case at the 2022 event, which has the theme "The Future of Work."

Who Should Attend: researchers, scholars, scientists, students, members of R&A community

For the most part, most of the information in the listings is current. In some cases, data was either unavailable or historical data was used to give you an idea of the price of attending an event in the past. Where historical data is used for an event, check at the conference's website to see if updated information is available.

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