Adrian Boguszewski
Employers on the program
- 2022–2024Intel4 talks
Appearances by year
- PyData
- MLCon (ML Conference)
Talks
| Date | Event | Conference | Role | Title | Links |
|---|---|---|---|---|---|
| Jul 11, 2024 | PyData Eindhoven 2024 | PyData | talk | Cloud? No Thanks! I’m Gonna Run GenAI on My AI PC | Video |
| Apr 22, 2024 | PyCon DE & PyData Berlin 2024 | PyData | sponsor | Cloud? No Thanks! I’m Gonna Run GenAI on My AI PC as Intel In this speech, we want to introduce an AI PC, a single machine that consists of a CPU, GPU, and NPU (Neural Processing Unit) and can run GenAI in seconds, not…Show lessIn this speech, we want to introduce an AI PC, a single machine that consists of a CPU, GPU, and NPU (Neural Processing Unit) and can run GenAI in seconds, not hours. | |
| Nov 30, 2023 | PyData Eindhoven 2023 | PyData | talk | Beyond the Continuum: The Importance of Quantization in Deep Learning as Intel In this talk, we will explore the different types of quantization techniques and discuss how they can be applied to deep learning models - everything in a…Show lessIn this talk, we will explore the different types of quantization techniques and discuss how they can be applied to deep learning models - everything in a Jupyter Notebook, which allows you to try it at home. | Video |
| Jun 27, 2022 | MLCON 2022 Munich | MLCon (ML Conference) | speaker | Optimize your network inference time as a data scientist, not as a web developer as Intel | |
| Apr 11, 2022 | PyCon DE & PyData Berlin 2022 | PyData | sponsor | Optimize your network inference time with OpenVINO as Intel Learn how to automatically convert the model using Model Optimizer and how to run the inference with OpenVINO Runtime to infer your model with low latency on…Show lessLearn how to automatically convert the model using Model Optimizer and how to run the inference with OpenVINO Runtime to infer your model with low latency on the CPU and iGPU you already have. The magic with only a few lines of code. | |
| Dec 12, 2019 | PyData Warsaw 2019 | PyData | talk | In the service of the history. AI in archivistics. A trillions of old photos are a valuable source of information about the past. Unfortunately most of them are not described sufficiently or at all. |
Frequent co-speakers
| Speaker | Shared events | Shared talks | Last together |
|---|---|---|---|
| Dmitriy Pastushenkov | 2 | 2 | 2024 |
| Alexander CS Hendorf | 2 | — | 2024 |
| Cheuk Ting Ho | 2 | — | 2024 |
| Dr. Juan Orduz | 2 | — | 2024 |
| Dr. Kristian Rother | 2 | — | 2024 |
| Ferdinand Schenck | 2 | — | 2024 |
| Florian Wilhelm | 2 | — | 2024 |
| Guillaume Lemaitre | 2 | — | 2024 |
| Jannis Lübbe | 2 | — | 2024 |
| Jeroen Overschie | 2 | — | 2024 |
| Joris Van den Bossche | 2 | — | 2024 |
| Jürgen Gmach | 2 | — | 2024 |
| Katharine Jarmul | 2 | — | 2024 |
| Laysa Uchoa | 2 | — | 2024 |
| Marco Gorelli | 2 | — | 2024 |
Speakers with the same name are merged into one entry, so this page may combine more than one person. Affiliations are shown as each conference listed them.