Industrial AI blog

• Making space for the data economy - A machine learning solution for data compression

29 March 2024

• Can LLMs reason logically? If not, how can we teach them?

22 March 2024

• Vibration analysis for equipment degradation assessment and preventive maintenance

26 October 2023

• Your supplier’s supplier is not your supplier – Graph learning for transparency in deep-tier supply networks

19 September 2023

• Can AI save the financial industry from documents with different shapes and sizes? -- A self-supervised model for extracting information from different formats

1 June 2023

• Can the economy be as predictable as the weather? -- Forecasting GDP growth with machine learning

12 April 2023

• Using machine learning to improve end-of-life care for advanced cancer patients

24 March 2023

• Geotagged visual localisation for accurate urban autonomous driving

23 January 2023

• Uncovering the mystery of ensemble learning through the information theoretical lens

30 September 2022

• An integrated approach to optimising inter-warehouse transportation for more efficient supply chains

29 August 2022

• How can we help reduce plastic waste? Facilitating the use of recycled plastics using in-mold sensors to optimize the injection molding process

29 June 2022

• Application of deep learning methods for more efficient water demand forecasting

8 June 2022

• Bayesian optimization algorithm with agent-based supply chain simulator for multi-echelon inventory management

25 April 2022

• Operation planning method using convolutional neural network for combined heat and power system

15 April 2022

• An effective solid waste collection management system utilizing smartphone sensors

13 April 2022

• Action-limited, multimodal deep Q learning for AGV fleet route planning

18 March 2022

• Embracing the power of linguistics to transform legal and RegTech

22 February 2022

• Deep learning model for 3D profiling of HAR features using high-voltage CD-SEM

16 February 2022

• Making supply chains resilient — A combinatorial auctions approach to capacity sharing in collaborative supply chains

4 February 2022

• Using unsupervised activity pattern encoding to recognize human working activities

26 January 2022

• Improving fault detection and isolation (FDI) in industrial networks using GCNN

21 January 2022

• Automatic meeting minutes generation using state-of-the-art natural language processing

15 December 2021

• Reducing customer waiting time by tour division and dynamic route optimization

25 November 2021

• Using digital twin for cost-efficient wind turbines

19 November 2021

• Drive Horizon: An artificial intelligent approach to predict vehicle speed for efficient powertrain control

11 November 2021

• Smart apparel that evaluates workers' physical workload

28 October 2021

• Real-time surface inspection system using convolutional neural networks

22 October 2021

• Applying deep learning to sensor data to support workers in manufacturing

17 September 2021

• A novel co-simulation framework for integrated distribution system modelling and AI technologies

10 September 2021

• Using human-in-the-loop simulation to build AI for safer autonomous driving

27 August 2021

• FALCON^® - An intelligent solution for connected mobility

25 August 2021

• Industrial safety gear monitoring using deep learning

20 July 2021

• Predicting the future with connected car data

7 July 2021

• Smart operation recommender system digitalizing OT knowledge to improve productivity

29 June 2021

• Digital twin for load monitoring of wind turbine blade

22 June 2021

• Generalizable person re-identification for practical automated video surveillance systems

26 May 2021

• Influence estimation for generative adversarial networks

10 May 2021

• Explaining black box decisions by Shapley cohort refinement

23 April 2021

• What if my autonomous car drives like me?

30 March 2021

• Is maintenance worth the money? A data-driven answer

19 February 2021

• Face recognition under occluded factory conditions

5 February 2021

• Cyber risk assessment of networked assets using probabilistic model checking

21 January 2021

• Risk-based dynamic pricing leveraging failure prediction

25 December 2020

• Wisdom of the ensemble: Improving consistency of deep learning models

18 December 2020

• Generative adversarial networks for prognostics failure prediction

11 December 2020

• Efficient vehicle detection using RGB-D data

30 November 2020

• Deployment conscious automatic surface crack detection

6 November 2020

• Failure prediction for multiple connected devices

29 October 2020

• Binary optimization by Momentum Annealing

9 October 2020

• Realizing AI marketplace for real-time sensing system

23 September 2020

• Concurrent optimization of production scheduling and facility layout planning

10 September 2020

• Activity recognition using wearable sensors for low-cost deployment

27 August 2020

• Accelerate the creation of IT x OT solutions using Common Analytics Framework

21 August 2020

• IoT-enabled AI technologies for self-driving connected cars

22 July 2020

• Accelerating material properties determination with simulation-based machine learning

13 July 2020

• Information extraction for highly specialized and critical domains

3 July 2020

• PDH : Probabilistic deep hashing for faster image retrieval

17 June 2020

• Reducing memory of neural networks for IoT/edge devices

9 June 2020

• Analyzing attack path in a network topology to secure IT infrastructure from cyber attacks

11 May 2020

• Robust subsurface modeling for high-precision oil and gas exploration

8 May 2020

• Relevance of historic data for modeling and estimation

24 March 2020

• Data-driven perception and planning methodologies for autonomous vehicles

16 March 2020

• Knowledge base construction to improve voice-enabled AI in industrial settings

17 February 2020

• “AI for Powering Good” – A joint workshop by Hitachi & Mila

30 January 2020

• Multi-Talker Speech Recognition and Understanding

12 December 2019

• Integrating machine learning, optimization and simulation to increase equipment utilization: Use case study on open pit mines

26 November 2019

• Dispatching with Reinforcement Learning: Minimizing Cost for Manufacturing Production Scheduling

24 October 2019

• A New Functional Neural Network with Application to "Remaining Useful Life" Estimation

3 October 2019

• Digital data extraction from industrial monitors using video analytics

25 September 2019

• From Playing "Go" to Automating Water Plants: The Application of Reinforcement Learning

17 September 2019

• Real-time holonic scheduling: Making warehouse picking more efficient

28 August 2019

• Zero-shot Pose-classification based on Wearable Sensors

8 August 2019

• How Can We Detect Anomalous Sounds More Efficiently?

29 July 2019

• Equipment Health Indicator Learning using Deep Reinforcement Learning

29 July 2019

• Welcome to Hitachi’s Industrial AI Blog!

29 July 2019