CERN Accelerating science

Other Talks

Darreres entrades:
2023-09-02
16:40
Inference of ML models on Intel GPU with SYCL and Intel OneAPI using SOFIE / Panagou, Ioanna Maria (speaker)
TMVA provides a fast interference system that takes an ONNX model as input and produces compilation-ready standalone C++ scripts as output which can be compiled and executed on CPU architectures. The idea of this project is to extend this capability to generate from the TMVA SOFIE model representation code that can be run also on Intel GPU using both SYCL and Intel OneAPI libraries. [...]
2023 - 0:08:14. CERN openlab Summer Student Programme 2023; CERN openlab Summer Student Lightning Talks (2/2) External links: Talk details; Event details In : CERN openlab Summer Student Lightning Talks (2/2)

Registre complet - Registres semblants
2023-08-29
16:52
Closing remarks / Marquina, Miguel (speaker) (CERN)
2023 - 0:04:28. CERN openlab Summer Student Programme 2023; CERN openlab Summer Student Lightning Talks (2/2) External links: Talk details; Event details In : CERN openlab Summer Student Lightning Talks (2/2)

Registre complet - Registres semblants
2023-08-29
16:52
Welcome / Marquina, Miguel (speaker) (CERN)
2023 - 0:03:05. CERN openlab Summer Student Programme 2023; CERN openlab Summer Student Lightning Talks (2/2) External links: Talk details; Event details In : CERN openlab Summer Student Lightning Talks (2/2)

Registre complet - Registres semblants
2023-08-29
15:05
Quantum-Powered Time Series Forecasting in Finance: Replication, Reliability, and Architectural Exploration / Spiro, Andrew Charles (speaker)
Machine learning has enabled computers to learn from data and improve their performance on tasks, revolutionizing various industries by automating processes, uncovering insights, and enhancing decision-making. NISQ (Noisy Intermediate-Scale Quantum) refers to the current stage of quantum computing, characterized by quantum devices with a moderate number of qubits and significant noise. In the NISQ era, parametrized quantum circuits (PQC) are employed in machine learning as flexible quantum algorithms that can be executed on current noisy quantum devices. [...]
2023 - 0:10:55. CERN openlab Summer Student Programme 2023; CERN openlab Summer Student Lightning Talks (2/2) External links: Talk details; Event details In : CERN openlab Summer Student Lightning Talks (2/2)

Registre complet - Registres semblants
2023-08-29
15:05
Shelter tents mapping by machine learning and satellite imagery / Cheng, Hsiu-Chi (speaker)
In order to provide urgent and life-saving resources to forcibly displaced people, spontaneous measurement of the number is essential. Instead of directly measuring this number, a popular approach is to estimate the number of shelter tents by satellite imagery. [...]
2023 - 0:09:02. CERN openlab Summer Student Programme 2023; CERN openlab Summer Student Lightning Talks (2/2) External links: Talk details; Event details In : CERN openlab Summer Student Lightning Talks (2/2)

Registre complet - Registres semblants
2023-08-28
16:03
AI Methods for Digital Twins for Scientific Applications / Machacek, Roman (speaker)
2023 - 0:10:24. CERN openlab Summer Student Programme 2023; CERN openlab Summer Student Lightning Talks (1/2) External links: Talk details; Event details In : CERN openlab Summer Student Lightning Talks (1/2)

Registre complet - Registres semblants
2023-08-25
10:32
FPGA-Accelerated Neural Network Inference for Ultra-Low-Latency Recalibration and Classification of Physics Objects at 40 MHz within CMS / Choudhury, Diptarko (speaker) (National Institute of Science Education and Research)
In the realm of data processing and physics analysis at the Large Hadron Collider (LHC), there exists a notable advantage of deep learning-based algorithms over traditional physics-based counterparts. This study explores cutting-edge methodologies for the low latency neural network inference on Field Programmable Gate Array (FPGA) devices. [...]
2023 - 0:07:26. CERN openlab Summer Student Programme 2023; CERN openlab Summer Student Lightning Talks (2/2) External links: Talk details; Event details In : CERN openlab Summer Student Lightning Talks (2/2)

Registre complet - Registres semblants
2023-08-25
10:27
ML for Fast Simulation / Memon, Zeeshan (speaker)
High-energy physics (HEP) experiments rely on Monte Carlo (MC) simulation to test hypotheses and understand data distributions. To meet the demand for fast and large-scale simulated samples, novel Fast Simulation techniques have emerged, including neural network models. [...]
2023 - 0:07:17. CERN openlab Summer Student Programme 2023; CERN openlab Summer Student Lightning Talks (2/2) External links: Talk details; Event details In : CERN openlab Summer Student Lightning Talks (2/2)

Registre complet - Registres semblants
2023-08-25
10:27
Evaluating the integration of distributed tracing signals into the CERN Monitoring Infrastructure / Nešić, Maša (speaker)
In order to have system monitoring, we need telemetry – data about the system’s behavior, emitted from the system itself. Telemetry data comes in three forms – logs, metrics and traces. [...]
2023 - 0:06:27. CERN openlab Summer Student Programme 2023; CERN openlab Summer Student Lightning Talks (2/2) External links: Talk details; Event details In : CERN openlab Summer Student Lightning Talks (2/2)

Registre complet - Registres semblants
2023-08-25
10:27
Exploring Cybersecurity Frontiers: Challenges regarding 2FA, Incident Response, and Web Scanning / Licu, Mihai (speaker)
In my CERN openlab 2023 summer tenure, I undertook three cybersecurity projects. Firstly, I addressed the challenge of integrating two-factor authentication (2FA) standards—FIDO2 and OTP—across CERN systems. [...]
2023 - 0:05:56. CERN openlab Summer Student Programme 2023; CERN openlab Summer Student Lightning Talks (2/2) External links: Talk details; Event details In : CERN openlab Summer Student Lightning Talks (2/2)

Registre complet - Registres semblants