Latest news with #MCAP
Associated Press
02-07-2025
- Automotive
- Associated Press
With MCAP, Manufacturers Get a Boost in CO2 Reduction Potential
In the latest blog, Cascale's Senior Director of the Decarbonization Program, Joyce Tsoi shares how the Manufacturer Climate Action Program (MCAP) is driving collective action at scale and underscores the urgent need to support manufacturers scale up their ambitions to decarbonize. She highlights Cascale's commitment to scaling MCAP globally — empowering manufacturers to accelerate their decarbonization journeys and take swift, impactful climate action. Read the full blog, titled: With MCAP, Manufacturers Get a Boost in CO2 Reduction Potential Visit 3BL Media to see more multimedia and stories from Cascale
Business Wire
12-06-2025
- Business
- Business Wire
Encord Launches Unified Platform to Accelerate Physical AI Development Across Robotics, Autonomous Vehicles, and Drones
SAN FRANCISCO--(BUSINESS WIRE)-- Encord, the data infrastructure company for multimodal AI, today announced the launch of its Physical AI suite. With support for 3D, LiDAR, and point cloud data, the platform streamlines the entire AI lifecycle for robotics, autonomous vehicles, and drone development teams, from raw sensor data management to model debugging. This enables development teams to accelerate the delivery of advanced autonomous capabilities with higher quality data. Developing AI for physical systems involves navigating complex data types and fragmented workflows. Encord's platform addresses these challenges by integrating critical capabilities into a single, cohesive environment. This enables development teams to accelerate the delivery of advanced autonomous capabilities with higher quality data and deeper insights, while improving operational efficiency and reducing costs. Key capabilities: Scalable and Secure Data Ingestion: Teams can securely synchronize data from their cloud buckets directly into Encord. The platform seamlessly ingests and intelligently manages high-volume, continuous raw sensor data streams, including LiDAR point clouds, camera imagery, and diverse telemetry, as well as commonly supported industry file formats (such as MCAP). Data Curation and Quality Control: The platform delivers automated tools for data quality checks and intelligent curation, helping teams identify critical edge cases and structure data for optimal model training. Teams can efficiently filter, batch, and select precise data segments for specific annotation and training needs. AI-Assisted Data Labeling: The platform supports AI-assisted labeling capabilities, including automated object tracking and single-shot labeling across scenes. It supports a wide array of annotation types and ensures high-precision labels across different sensor modalities and over time, even as annotation requirements evolve. AI Model Evaluation and Debugging: The platform provides tools to evaluate model predictions against ground truth, pinpointing failure modes and identifying the exact data that led to unexpected outcomes. This capability shortens iteration cycles, allowing teams to quickly diagnose issues, refine models, and improve AI accuracy for fail-safe applications. Workflow Management and Collaboration: Built for large-scale operations, the platform includes robust workflow management tools. Administrators can distribute tasks among annotators, track performance, assign QA reviews, and ensure compliance across projects. About Encord Encord is a multimodal data management platform for AI. With Encord, AI teams can manage, curate, and label images, videos, audio, documents, text, LiDAR and DICOM files using agentic and human-in-the-loop workflows. With built-in automation, real-time collaboration tools, and active learning integration, Encord enables faster iteration on multimodal perception models and more efficient dataset refinement.
Yahoo
12-06-2025
- Business
- Yahoo
Encord Launches Unified Platform to Accelerate Physical AI Development Across Robotics, Autonomous Vehicles, and Drones
SAN FRANCISCO, June 12, 2025--(BUSINESS WIRE)--Encord, the data infrastructure company for multimodal AI, today announced the launch of its Physical AI suite. With support for 3D, LiDAR, and point cloud data, the platform streamlines the entire AI lifecycle for robotics, autonomous vehicles, and drone development teams, from raw sensor data management to model debugging. Developing AI for physical systems involves navigating complex data types and fragmented workflows. Encord's platform addresses these challenges by integrating critical capabilities into a single, cohesive environment. This enables development teams to accelerate the delivery of advanced autonomous capabilities with higher quality data and deeper insights, while improving operational efficiency and reducing costs. Key capabilities: Scalable and Secure Data Ingestion: Teams can securely synchronize data from their cloud buckets directly into Encord. The platform seamlessly ingests and intelligently manages high-volume, continuous raw sensor data streams, including LiDAR point clouds, camera imagery, and diverse telemetry, as well as commonly supported industry file formats (such as MCAP). Data Curation and Quality Control: The platform delivers automated tools for data quality checks and intelligent curation, helping teams identify critical edge cases and structure data for optimal model training. Teams can efficiently filter, batch, and select precise data segments for specific annotation and training needs. AI-Assisted Data Labeling: The platform supports AI-assisted labeling capabilities, including automated object tracking and single-shot labeling across scenes. It supports a wide array of annotation types and ensures high-precision labels across different sensor modalities and over time, even as annotation requirements evolve. AI Model Evaluation and Debugging: The platform provides tools to evaluate model predictions against ground truth, pinpointing failure modes and identifying the exact data that led to unexpected outcomes. This capability shortens iteration cycles, allowing teams to quickly diagnose issues, refine models, and improve AI accuracy for fail-safe applications. Workflow Management and Collaboration: Built for large-scale operations, the platform includes robust workflow management tools. Administrators can distribute tasks among annotators, track performance, assign QA reviews, and ensure compliance across projects. About Encord Encord is a multimodal data management platform for AI. With Encord, AI teams can manage, curate, and label images, videos, audio, documents, text, LiDAR and DICOM files using agentic and human-in-the-loop workflows. With built-in automation, real-time collaboration tools, and active learning integration, Encord enables faster iteration on multimodal perception models and more efficient dataset refinement. View source version on Contacts ulrik@ Error in retrieving data Sign in to access your portfolio Error in retrieving data Error in retrieving data Error in retrieving data Error in retrieving data
Hindustan Times
08-06-2025
- Science
- Hindustan Times
Data jam studies heat islands in Mumbai
MUMBAI: The next time you're sweating it on a hot and muggy day, take a look around. The aim of this exercise is to determine whether you are positioned in a 'heat island'. 'If you think the temperature on IMD's site does not reflect what you're experiencing, it could be because of your location and the impact of urban heat,' said a presenter at Mumbai 'Datajam on Urban Heat in Mumbai' at St Xavier's College on Saturday. The data jam was organised by Open City, an urban data portal, along with NGOs such as C40 Cities, World Resources Institute India and Maharashtra's State Climate Cell. For seven hours on Saturday, more than 30 people including students and professionals assembled to study the effects of urban heat and how to tackle it. According to the United States Environmental Protection Agency, urban heat islands form when some areas experience hotter temperatures than others within a city. The participants at the data jam worked with data sets and maps that reflected land surface temperatures, demographics, formal and informal settlements, the morphology of buildings and other related elements in each civic ward in Mumbai – with a view to identifying heat islands, reasons and solutions. The civic wards focused on most were the ones that topped the list in vulnerability assessment done for the Mumbai Climate Action Plan (MCAP). Slum areas formed the largest heat islands in Mumbai, owing to lack of ventilation and population density. But, the participants found, this phenomenon extended to some mid-rise buildings, which created a wind tunnel and trapped heat. Interestingly, in H East ward, 70% of the population is crammed into 10% of the land that forms the slum pockets in Bandra East. This 10% land traps high amounts of heat, where temperatures range from 43 to 48 degrees Celsius. Similarly, in the Bandra-Kurla Complex, which is spacious and ventilated, the glass buildings are the heat traps. Moreover, H East ward has little or no healthy vegetation. M-East ward (Govandi), which ranks low on socio-economic factors, was divided according to the morphology of buildings and type of settlements. Participants highlighted that the BARC residential area was the only ideal spot in the ward, with low-rises and low population density. 'While several slum rehabilitation buildings are planned in the area, the height, density and construction material should be considered in terms of thermal conductivity. The ideal would be mid-rise and mid-density,' said Varun Phadke, a second-year MTech student at IIT Bombay. Participants working on L ward (Kurla) suggested natural coolers and heat-resistant pavements as mitigation measures in the long term, more air-conditioned buses, and water filters at the bus stops. They also said that the Mithi River traps heat due to stagnant water and pollution, so cleaning it would act as a cooling agent. These suggestions will be further presented to the ward officers and the state climate cell. The Maharashtra state climate cell undertook the development of a heat-resilience framework, which aims to look at local wards on a granular level for heat mitigation.
Indian Express
06-06-2025
- Business
- Indian Express
BMC data shows Mumbai recorded reduction in emission levels
Mumbai has recorded a declining trend of carbon emissions between 2019 and 2024, shows the Brihanmumbai Municipal Corporation's data that was presented in the annual environment budget released on June 5. Carbon emission refers to the release of carbon into the atmosphere in the form of carbon dioxide. This process is often a result of human activities like burning fossil fuels, industrial processes and deforestation. Emissions are measured as per carbon dioxide equivalent (CO2e)–a unit of measurement used to compare the climate impact of different Green House Gases (GHG) by expressing them in terms of equivalent amounts of carbon dioxide (CO2). The trend was recorded to make a GHG inventory for Mumbai which includes an analysis of sectors and sources that emit carbon dioxide, methane and nitrous oxide. Civic officials said that such an inventory enables the city to build evidence-based mitigation actions and policies to monitor progress–aligned with global community standards. As part of the Mumbai Climate Action Plan (MCAP), the first GHG inventory was recorded in 2019. According to the GHG inventory, nearly 74% of the emissions are contributed by stationary energy sources–which includes buildings and entities that depend on fossil fuel, electricity or thermal energy, while 19.1% is contributed by the transportation sector and the balance 6% is emitted from waste resources. According to the data, Mumbai recorded a decline of Carbon Dioxide (CO2) emission levels by an approximate 2 million tonnes between 2019 and 2023. The civic body's data shows that in 2019, a baseline study of emissions showed 26.75 million tonnes of which stood at 24.6 million tonnes by 2023–which is a decline by 2.15 million tonnes. 'Between 2019 and 2021, Mumbai's emissions steadily fell reaching their lowest point in 2021, largely due to pandemic induced economic slowdowns, before rising again post 2021,' said the BMC's budget document. Besides this, the data also shows that there has been a decline in emission from solid waste –which the civic body has attributed to the centralised waste processing facility that was started in Kanjurmarg and the BMC's data also shows that the waste sector has shown an overall reduction of emission by 6.4% which equates 1.57 million tonnes of CO2e. 'Emissions from the waste sector have shown a slight decrease, especially due to reduced emissions from solid waste generated in the city, which may be attributed to improved centralised waste processing and monitoring,' the BMC's document read. 'There are reductions observed in the commercial, institutional buildings and facilities sector (by 26.6%) and residential buildings sector (by 11.36%),' the document further said. Meanwhile, in its budget, the civic body has put forward a target of reducing Mumbai's overall emission levels by 30% till 2030 and 44% by 2040. Furthermore, the BMC in its climate budget has set up long-term targets that are to be achieved by 2030. According to the document, the civic body has aimed to reduce air pollution by at least 30%, urban heat island effect by 40% and increase vegetation cover by 40%. Furthermore, in its climate budget, the BMC has also proposed decarbonising Mumbai by at least 50% by electrification of all the existing BEST buses and civic-owned vehicles.
