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The Weather Company Advances Global Weather Forecasting with First Operational Implementation of JEDI System

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Next-generation Weather Prediction Technology Will Lead to a Better Understanding of Forecast Uncertainty, Promising Up to 15% Improvement in Forecast Accuracy

ATLANTA, March 20, 2025 /PRNewswire/ — The Weather Company today announced it is now the first operational user of the Joint Effort for Data Assimilation Integration (JEDI), a groundbreaking weather forecasting framework developed by the Joint Center for Satellite Data Assimilation (JCSDA) and hosted by the University Corporation for Atmospheric Research (UCAR). This milestone implementation underscores The Weather Company’s commitment to pushing the boundaries of weather science and technology, especially with probabilistic forecasting to help improve decision making based on weather.

In an era where extreme weather events are increasingly impacting lives and economies, The Weather Company’s implementation of JEDI within its global high-resolution atmospheric forecasting system (GRAF) marks a significant step forward in weather prediction capabilities. Internal testing by The Weather Company indicates forecast accuracy improvements of up to 15% – a significant advancement in meteorological science – are possible as its team continues to unlock the full potential of JEDI with advanced weather observations.

Proprietary to The Weather Company, the existing GRAF model updates 6x more frequently and up to 3x the resolution compared to other leading global models.1 GRAF drives short-term forecasting for the day ahead, which is critical in planning for people and businesses.

In collaboration with JCSDA – a research center of excellence based on a multi-agency partnership among NOAA, NASA, and the U.S. Navy and Air Force, with key collaborators including the U.K. Met Office and the U.S. National Research Foundation National Center for Atmospheric Research (NSF NCAR) – this first commercial use of JEDI within GRAF demonstrates The Weather Company’s leadership in adopting cutting-edge technology to deliver meaningful weather insights to millions of consumers and businesses worldwide.

“As the first institution in the world to operationalize JEDI for weather forecasting, The Weather Company is not just implementing new technology – we’re revolutionizing how weather forecasting will be done in the future,” said Dr. Peter Neilley, SVP of science and forecasting operations for The Weather Company. “We continue our commitment to innovate in weather forecasting technology and collaborate with the scientific community to solve global problems such as the increasingly disruptive impacts of weather.”

JEDI provides the highest quality analysis available of the current state of the atmosphere, which is crucial in making future weather predictions. An open-community software seven years in the making, JEDI integrates vast amounts of eclectic and asynchronous observations – including radar, satellites, weather balloons, aircraft, weather stations and more – and turns them into a consistent format to be fed into forecast models like GRAF with unprecedented efficiency and accuracy.

“Weather doesn’t operate in silos, and neither should we,” said Dr. Thomas Auligné, director of the JCSDA. “This successful first implementation of JEDI demonstrates how cross-sector collaboration can help bridge the gap between government research and operational forecasting, ultimately driving breakthrough innovations that benefit society as a whole.”

As the first operational user of JEDI, The Weather Company will create benefits within its GRAF forecasts and insights shared with consumers and customers. For example:

Increased forecast accuracy: Improved data assimilation will enable material improvement in forecast accuracy and day-ahead skill for years to come, as the team continues to advance and upgrade the system.New cutting-edge weather observations: JEDI will enable The Weather Company to make better predictions by incorporating more types of weather observations into its GRAF system, such as specialized types of satellite observations, five-second updating data from aircraft, and mobile device pressure readings.Enhanced probabilistic forecasting: JEDI enables ensemble modeling, or multiple forecast runs, which delivers more accurate predictions of weather’s uncertainty. Seeing a range of potential outcomes can be crucial for critical decision making based on weather. An example of probabilistic forecasting can be seen in the newly released snowfall feature in The Weather Channel Premium app.

Behind the Technology: A New Era in Weather Forecasting
While recent attention has focused on single weather models, a high-performing prediction system requires much more than a single model. A true modeling system like GRAF has three basic components: (1) a data assimilation system that brings observational data into models; (2) a model core, which for GRAF is based on MPAS by NSF NCAR and tailored by The Weather Company team; and (3) a post-processing system that takes the model forecasts and turns them into useful products.

While media attention often highlights AI-based weather model cores, there is a growing body of evidence that the most important element in an accurate modeling system is the data assimilation. It serves as the foundation for all forecasting by providing more accurate initial conditions for weather predictions. Even newer AI models – such as the first-of-its-kind kilometer-scale model The Weather Company is developing with NVIDIA – will still benefit from physics-based models and technologies like GRAF and JEDI. And combining GRAF forecasts with artificial intelligence will also improve short-term precipitation forecasts, such as rain alerts down to the scale of a thunderstorm, to help people and businesses plan for what’s ahead.

As the world’s most accurate weather forecaster,2 The Weather Company’s comprehensive approach combines advanced data assimilation through JEDI, the MPAS-based GRAF modeling system, and AI-powered blending of approximately 100 forecast models – including both physics-based and AI-based models. Expert meteorologist oversight then helps deliver unparalleled accuracy for location-specific forecasts, particularly crucial for high-impact local weather events affecting communities and businesses worldwide.

This advancement will further enhance The Weather Company’s ability to provide the most accurate, actionable weather insights across its consumer and enterprise solutions. For more information about The Weather Company’s efforts and its impact on weather forecasting, visit weathercompany.com.

About The Weather Company
The Weather Company helps people and businesses around the world make more informed decisions and take action in the face of weather. With its deep industry expertise and highly accurate, high-volume weather data combined with advanced technology and AI, The Weather Company provides insights and solutions that harness the power of weather in a scalable, privacy-forward way. The world’s most accurate forecaster, the company serves hundreds of enterprise customers across media, advertising, aviation and more, and is trusted by hundreds of millions of monthly active users via digital properties from The Weather Channel (weather.com) and Weather Underground (wunderground.com). For more, visit weathercompany.com.

About JCSDA
The Joint Center for Satellite Data Assimilation (JCSDA, jcsda.org) is a collaborative research center hosted by the University Corporation for Atmospheric Research (UCAR). It brings together key U.S. operational agencies — including NOAA, NASA, the U.S. Air Force, and the U.S. Navy —— and collaborators — including the Met Office and NSF-NCAR —to advance the use of satellite data in weather, ocean, and environmental forecasting. At the heart of JCSDA’s efforts is the Joint Effort for Data assimilation Integration (JEDI), an open-source software initiative that accelerates the transition of research into the next generation of operational forecasting systems. By fostering interagency cooperation, harnessing state-of-the-art computational infrastructure, and engaging a broad scientific and user community, JCSDA ensures that satellite observations are fully leveraged to enhance environmental prediction capabilities..

About UCAR
The University Corporation for Atmospheric Research is a nonprofit consortium of more than 130 North American colleges and universities focused on research and training in Earth system science. It manages the U.S. National Science Foundation National Center for Atmospheric Research on behalf of NSF.

1GRAF model updates its global forecasts every hour, unlike other conventional global models that typically update every six hours. Current global weather models forecast down to 9-13 kilometers (5.6-8.0 miles), while GRAF forecasts down to 4 kilometers (2.4 miles).

2 ForecastWatch, Global and Regional Weather Forecast Accuracy Overview, 2017-2022, https://forecastwatch.com/AccuracyOverview2017-2022, commissioned by The Weather Company.

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SOURCE The Weather Company

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ModelBest and OpenBMB Open-Source MiniCPM-OCR Series, Delivering High-Performance Document Parsing and AI-Powered Quality Control

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BEIJING, Oct. 31, 2026 /PRNewswire/ — ModelBest and OpenBMB jointly announced the release and open-source availability of the MiniCPM-OCR series, a family of models for efficient document parsing and parsing-quality assessment. The launch includes two models: MiniCPM-OCR 1.0 (1.3B) and MiniCPM-OCR Jev (2B).

As the first OCR-focused model in the MiniCPM family, MiniCPM-OCR 1.0 brings top-tier parsing accuracy to a compact 1.3-billion-parameter architecture optimized for edge deployment, pushing forward the balance between efficiency and performance for open-source OCR models. Built for real-world conditions, it accurately parses scanned, photographed, curved, tilted and screen-captured documents without cumbersome image pre-correction, lowering the barrier to large-scale document digitization.

The model handles dense bilingual Chinese-English content, complex mathematical formulas, and multi-level or borderless tables, consistently performing at a leading level across a broad range of mainstream industry evaluations. Beyond full-page reconstruction, it supports key information extraction (KIE), pulling specified fields from invoices, IDs and financial statements according to business instructions.

Powered by DSpark decoding acceleration, MiniCPM-OCR 1.0 significantly increases end-to-end throughput while lowering per-page latency. For enterprises processing millions of pages—such as financial contract archives, academic libraries and government records—this means processing far more documents with the same hardware and time budget, at a substantially lower computing cost.

To address the long-standing need for page-by-page manual review, ModelBest and OpenBMB also introduced MiniCPM-OCR Jev, the first OCR result decision model that acts as an “AI quality inspector.” Rather than performing OCR itself, Jev compares the source image with OCR output and rapidly assigns confidence scores to text, LaTeX formulas and tables, detecting missing characters, errors and formatting misalignments. Despite its compact 2B-parameter size, Jev delivers judgment accuracy typically associated with far larger models.

Jev supports cross-model deployment and can be integrated into existing OCR workflows without replacing the underlying OCR engine. It can automatically identify reliable results for direct processing, flag potentially inaccurate outputs for human review and select the best result from multiple OCR systems. This enables enterprises to move from full manual inspection toward risk-based, automated quality control.

The MiniCPM-OCR series is available on GitHub, Hugging Face and ModelScope, and supports vLLM, SGLang, llama.cpp and Ollama, along with SDKs, APIs, Agent Skill plugins and open-source fine-tuning code. Day-0 hardware adaptation covers AMD, Arm, Houmo AI, Intel and NVIDIA. Through the FlagOS software stack, it also has Day-0 support for AI and edge chips from CIX Technology, Huawei Ascend, Hygon, Iluvatar CoreX, Kunlunxin, MetaX, Moore Threads, Sunrise, T-Head, TsingMicro, NVIDIA and Apple Mac (Arm).

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SOURCE ModelBest

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Wulcea Elevates Consumer Trust in Heated Apparel Through Multi-National Safety Certifications and Rigorous Technical Testing

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NEW YORK, Oct. 31, 2026 /PRNewswire/ — As smart heated clothing gains broader adoption, consumers are paying closer attention to the safety and reliability of the technology behind these products. Wulcea, a brand specializing in graphene-powered heated apparel, combines its flexible GrapheneNano™ heating technology with documented safety compliance and durability testing for its heating components and battery systems.

“Trust in smart heated apparel goes beyond warmth—it comes down to confidence in battery safety and heating element reliability,” said John C, Founder of Wulcea. “Our goal is to give users peace of mind through certified technical standards.”

Advanced Graphene Heating Elements Supported by Global Standards

At the core of Wulcea’s thermal architecture is its GrapheneNano™ heating technology. Engineered to eliminate garment stiffness, Wulcea integrates flexible graphene elements that deliver balanced warmth across key upper-body zones while preserving natural garment drape and full freedom of movement.

Wulcea supports its heating components with applicable compliance documentation for major markets. These include CE and FCC compliance documentation addressing relevant electrical and electromagnetic compatibility requirements, as well as PSE compliance for applicable products in Japan. RoHS compliance further addresses restrictions on specified hazardous substances in applicable electrical and electronic components.

Multi-Certified Battery System for Dependable Power

To power its heating elements, Wulcea pairs its heated apparel with rechargeable battery systems designed for convenient everyday use. Featuring a compact design and housed in dedicated interior pockets, the batteries provide portable power while maintaining a streamlined garment profile and comfortable fit.

Wulcea backs its battery options with comprehensive third-party accreditations. UL certification demonstrates that the battery system has been evaluated against recognized power bank safety requirements, covering key areas such as overcharge protection, short-circuit protection, and thermal safety. The battery systems are also supported by applicable CE and FCC compliance documentation, addressing relevant regulatory requirements for electrical and electromagnetic compatibility.

For daily handling and travel, RoHS compliance validates that the battery system meets stringent global standards for material safety. The battery models have also undergone applicable UN 38.3 testing, supporting compliance with international requirements for lithium battery transportation.

Real-World Durability and Practical Usability

Component compliance forms Wulcea’s foundation, but reliability is defined by real-world performance. Built for high-flex endurance, Wulcea’s flexible graphene heating elements are tested through 10,000 active flexing cycles to maintain steady thermal output through repeated bending and everyday body movement.

Everyday convenience is equally essential. Built for hassle-free care, Wulcea’s heating elements withstand 100 machine-wash cycles under standard care guidelines, maintaining internal conductivity and structural stability under repeated laundering.

Integrated NTC temperature sensors provide thermal monitoring and are designed to stop heating if temperatures exceed 131°F (55°C). Combined with runtime of up to 10 hours on the low setting and a discreet interior control button, these features support practical everyday use in cold-weather conditions.

Aligning Technical Standards with Everyday Warmth

By combining graphene-based heating technology with documented battery safety compliance and durability testing, Wulcea continues to focus on the technical foundations of dependable heated apparel. This approach reflects the brand’s emphasis on bringing together safety considerations, practical functionality, and everyday comfort for cold-weather use.

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NIDS Co., Ltd. Confirms CES 2027 Participation, Pursues Expansion of Global Supply Chain for Environmental Sensors

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Company introduced optical and gas sensors at SEDEX and is strengthening its composite sensor business for robotics, home appliances, automotive, and smart building applications

SEOUL, South Korea, Oct. 31, 2026 /PRNewswire/ — Environmental sensor manufacturer NIDS Co., Ltd. has confirmed its participation in CES 2027 and is moving to expand its global business-to-business (B2B) supply chain. Building on its experience supplying sensors to domestic and international home appliance and automotive companies, the company aims to secure overseas customers and extend its applications into smart building HVAC and robotics.

NIDS recently participated in the Korea Semiconductor Industry Association’s Sensor Pavilion at SEDEX 2026, held at COEX in Seoul, where it introduced its next-generation sensor modules. The company said the exhibition allowed it to raise awareness of its technology among domestic home appliance and electronic component industry professionals and to lay the groundwork for collaboration in the sensor field.

The company will use CES 2027 as its next stage. NIDS plans to firm up discussions on sensor module supply with global home appliance makers, HVAC specialists, and robotics companies. It aims to extend the industry contacts gained at the domestic exhibition overseas and to convert product introductions into actual supply opportunities.

Founded in 2000, NIDS develops and manufactures environmental sensors and air quality management solutions. According to the company, it has supplied more than 10 million sensors cumulatively to domestic and international companies, including Dyson, Samsung Electronics, and Hyundai Motor. Drawing on this supply track record, the company intends to showcase its precision sensing technology and mass-production capabilities to overseas customers.

Its main products include particulate matter sensors, optical gas sensors based on non-dispersive infrared (NDIR) technology, composite environmental sensors, and electronic nose sensor modules. The particulate matter sensors measure PM1.0, PM2.5, and PM10, while the gas sensor lineup targets carbon dioxide (CO₂), carbon monoxide (CO), and other gases. The electronic nose is used for detecting everyday odors, gas leaks, and fires. The company said it designs the core components required for air quality measurement in-house and has a system in place to mass-produce 5 million units annually.

The area where NIDS will expand development and supply going forward is next-generation composite sensor modules. The company has been pursuing a sensor business that responds to industry-specific demand in home appliances, automotive, and smart building HVAC, and is now concentrating its capabilities on markets such as robotics, industrial safety, and odor detection based on this technology. Building on its experience supplying individual components, NIDS plans to continue developing and supplying, on a B2B basis, modules that handle multiple types of environmental data.

The company will also highlight its sensor product lineup and its newly developed ultra-compact MEMS sensor technology at the exhibition. NIDS plans to introduce its optical and gas sensor lineup along with examples of their application in actual air quality management systems. By explaining both the measurement functions of its components and its experience operating sensors for finished-product services, the company aims to broaden the scope of partnership discussions.

NIDS explained that, because it owns its precision sensors, it can control sensor sensitivity and tune algorithms to suit the system in which they are applied. Drawing on this technical operating experience, the company plans to pursue partnerships with customers and to promote its business capabilities extending from sensor components to air quality and odor management and industrial safety management.

NIDS will also leverage its existing branch network in its overseas market development. Through its overseas bases in the United States, Japan, and China, the company plans to widen its touchpoints with buyers and seek new supply opportunities in conjunction with its CES participation. Its goal is to generate export results by combining exhibition participation with its local networks.

The company intends to keep expanding the global supply of sensor components as a core pillar of its business. Building on the supply experience accumulated in home appliances and automotive, it will broaden its partners to robotics, HVAC, and smart buildings, and respond to industry-specific air quality measurement demand through the development of next-generation modules.

“We plan to continue expanding the development and B2B supply of next-generation composite sensor modules needed across a range of industries, including home appliances, automotive, and smart building HVAC,” NIDS said.

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SOURCE NIDS Co., Ltd.

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