MathWorks
Also listed as 2 other names
MATHWORKS · Mathworks
Circuit mix
Where MathWorks shows up, by circuit. Each event counts once: 2 if it sponsored, 1 if it only had speakers. Hover a segment for the conference.
- Research34%7 events
- Enterprise, analyst & AI expos24%5 events
- AI engineering & MLOps22%5 events
- Modern data stack & practitioner15%3 events
- Cloud providers5%2 events
The year around now
Conferences where MathWorks sponsored or had speakers in the past 12 months, and the announced events it is already listed for. One row per conference, January to December; hover a mark for the event and the company's role.
Presence by conference and year
Each cell is one conference in one year. Fill shows the company sponsored, shaded by its best tier that year; a dot means it had speakers there. Hover for details; click to open the event.
- Title
- Platinum
- Gold
- Silver
- Bronze
- Other / unlabeled tier
- Had speakers
Activity by year
Three measures on one year axis; each panel has its own scale.
Conferences present at
Distinct conferences each year, split by whether the company sponsored or only had speakers there.
- Sponsored
- Speakers only
Distinct speakers
People from this company on a program that year, each counted once.
Sponsorships by tier
Sponsorship rows per year (one per event and listing), stacked by normalized tier.
- Platinum
- Gold
- Silver
- Other / unlabeled
Where they've grown or pulled back
DownSponsored 1 conference in 2026, down from 3 in 2023.
Counted per conference. 2026 is the latest year whose conferences have mostly happened. Tiers use the best tier each year; swatches show the path, oldest first. A conference counts as pulled out only when a later event published a complete sponsor list, since most events don’t say whether their list is complete.
Pulled out 1
Not sponsored since 2024 or earlier, though a later event published a complete sponsor list without them.
- AICon 全球人工智能开发与应用大会 (AICon Global AI Development and Application Conference)last sponsored 2021; the conference ran again in 2024–26
Steady 4
Sponsored in most years of its span at the same tier.
- Big Data & AI Parisevery year 2019–20, Silver
- NeurIPS (Conference on Neural Information Processing Systems)7 of 8 years 2019–26, mostly Gold
- The AI Summitevery year 2022–23, Silver
- Women in Data Science (WiDS) Conference3 of 5 years 2020–24, tier not listed
Once or on and off 2
No clear direction, or a gap we can’t confirm because later sponsor lists are incomplete.
- Big Data LDNonce, 2019, Silver
- ODSC (Open Data Science Conference)2 of 4 years, 2019–22
Lookalikes
Companies with the most similar conference footprint: they sponsor and speak at the same conferences. Bars are cosine similarity, from 0 (nothing shared) to 1 (identical).
- Innodata0.76
- Alegion0.70
- DataForce Solutions GmbH0.69
- Mila - Quebec AI Institute0.66
- OpenText0.65
- Clarifai0.65
- Lightning AI0.63
- Cohere0.63
8 Cluster: NeurIPS · ICML circuit →
Often sponsors alongside
Companies that sponsored the same events, by number of shared events (out of 19 this company sponsored).
| Company | Shared events | Share |
|---|---|---|
| IBM | 15 | 79% |
| 14 | 74% | |
| Microsoft | 14 | 74% |
| Two Sigma | 9 | 47% |
| Meta | 8 | 42% |
| Apple | 7 | 37% |
| Citadel | 7 | 37% |
| The D. E. Shaw Group | 7 | 37% |
| G-Research | 7 | 37% |
| Netflix | 7 | 37% |
| PDT Partners | 7 | 37% |
| Point72 / Cubist Systematic Strategies | 7 | 37% |
| Qualcomm | 7 | 37% |
| Salesforce | 7 | 37% |
| Snowflake | 7 | 37% |
Neighborhood: companies with nearby conference footprints
MathWorks (ringed) and the 30 companies closest to it on the company map. Close together means they sponsor and speak at many of the same conferences. Distances are only meaningful locally; the axes have no meaning. Dot size: conferences present at. Color: cluster.
Sponsorships 19
| Event | Date | Place | Tier as listed | Normalized tier |
|---|---|---|---|---|
| NeurIPS 2026 (Sydney) | Dec 6–12, 2026 | Sydney, Australia | Gold | Gold |
| NeurIPS 2025 (San Diego) | Dec 2–7, 2025 | San Diego, United States | Gold | Gold |
| NeurIPS 2024 | Dec 10–15, 2024 | Vancouver, Canada | Platinum | Platinum |
| WiDS Stanford Conference 2024 | Mar 8, 2024 | Stanford, United States | — | Unlabeled |
| NeurIPS 2023 | Dec 10–16, 2023 | New Orleans, United States | Platinum | Platinum |
| The AI Summit London 2023 | Jun 14–15, 2023 | London, United Kingdom | Silver Sponsors | Silver |
| WiDS Stanford Conference 2023 | Mar 8, 2023 | Stanford, United States | — | Unlabeled |
| NeurIPS 2022 | Nov 28, 2022 – Dec 9, 2022 | New Orleans, United States | Platinum | Platinum |
| The AI Summit London 2022 | Jun 15–16, 2022 | London, United Kingdom | Silver Sponsors | Silver |
| ODSC East 2022 | Apr 19–21, 2022 | Boston, United States | Gold Partners | Gold |
| AICon北京2021 | Nov 25–26, 2021 | Beijing, China | 高级赞助商 | Other |
| NeurIPS 2020 | Dec 6–12, 2020 | — | Gold | Gold |
| Big Data & AI Paris 2020 | Sep 14–15, 2020 | Paris, France | Silver Sponsors | Silver |
| WiDS Stanford Conference 2020 | Mar 2, 2020 | Stanford, United States | — | Unlabeled |
| NeurIPS 2019 | Dec 8–14, 2019 | Vancouver, Canada | Gold | Gold |
| Big Data LDN 2019 | Nov 13–14, 2019 | London, United Kingdom | Silver Sponsors | Silver |
| ODSC West 2019 | Oct 29, 2019 – Nov 1, 2019 | Burlingame, United States | Gold Partners | Gold |
| ODSC East 2019 | Apr 30, 2019 – May 3, 2019 | Boston, United States | Gold Partners | Gold |
| Big Data Paris 2019 | Mar 11–12, 2019 | Paris, France | Silver Sponsors | Silver |
Speakers 4
| Speaker | Event | Role | Talk | Links |
|---|---|---|---|---|
| Hossein Jooya | AWS re:Invent 2025 | chalk talk | Quantum Computing: Accelerating Pharma Innovation | — |
| Ashvant Ram Selvam | PyTorch Conference 2025 | speaker | Bridging the Gap: Embedded Deployment of PyTorch Deep Learning Models in Complex Engineered Systems | — |
| Sarah Mohamed | PyTorch Conference 2025 | speaker | Bridging the Gap: Embedded Deployment of PyTorch Deep Learning Models in Complex Engineered Systems | — |
| Hossein Jooya | AWS re:Invent 2024 | chalk talk | Quantum computing empowering classical workflows in technical computing | — |