GRAI

IFCO launches Dora, the reusable Plastic Pallet, leading the way to a more hygienic, cost-effective, and durable post-wood pallet future

Retrieved on: 
Tuesday, January 16, 2024

MUNICH, Jan. 16, 2024 /PRNewswire/ -- IFCO, the world's leading provider of Reusable Packaging Containers (RPCs), today announced the launch of Dora, a revolutionary reusable Plastic Pallet, across Europe.

Key Points: 
  • MUNICH, Jan. 16, 2024 /PRNewswire/ -- IFCO, the world's leading provider of Reusable Packaging Containers (RPCs), today announced the launch of Dora, a revolutionary reusable Plastic Pallet, across Europe.
  • The IFCO Plastic Pallet increases efficiency and safety in critical areas across transportation and handling.
  • And any damaged or broken IFCO Plastic Pallets are fully recycled within the IFCO pooling system.
  • To learn more about the latest fresh supply chain logistics solutions, please visit: https://www.ifco.com/
    To learn more about the new IFCO Plastic Pallet Dora, please visit: https://www.ifco.com/food-solutions/reusable-plastic-pallet/ .

John Deere announces its 2023 Startup Collaborators

Retrieved on: 
Monday, January 9, 2023

OLATHE, Kan., Jan. 9, 2023 /PRNewswire/ -- Deere & Company has released the names of eight companies chosen for its 2023 Startup Collaborator program.

Key Points: 
  • OLATHE, Kan., Jan. 9, 2023 /PRNewswire/ -- Deere & Company has released the names of eight companies chosen for its 2023 Startup Collaborator program.
  • The Startup Collaborator was launched in 2019 and helps John Deere enhance precision technology in its agriculture and construction equipment.
  • "This year's group shows the importance of connecting with the startup community across a broad range of applications and technologies," said Julian Sanchez, director of emerging technology at John Deere.
  • The eight companies participating in the 2023 Startup Collaborator include:
    Albedo, a startup company developing low-flying satellites that will collect visible and thermal imagery at ultra-high resolution.

GrAI Matter Labs & Tuito Join Forces to Develop a Novel Speech Enhancement & Source Separation Solution

Retrieved on: 
Wednesday, January 4, 2023

GrAI Matter Labs (GML), a pioneer of brain-inspired ultra-low latency and high precision computing, and Tuito, an artificial intelligence technology startup with significant expertise in voice interface and voice assistant solutions announced their collaboration to bring novel speech enhancement solutions in the market for applications in automotive, industrial, and enterprise audio.

Key Points: 
  • GrAI Matter Labs (GML), a pioneer of brain-inspired ultra-low latency and high precision computing, and Tuito, an artificial intelligence technology startup with significant expertise in voice interface and voice assistant solutions announced their collaboration to bring novel speech enhancement solutions in the market for applications in automotive, industrial, and enterprise audio.
  • This press release features multimedia.
  • View the full release here: https://www.businesswire.com/news/home/20230104005299/en/
    The partnership brings together the companies’ expertise in advanced source separation and speech enhancement that can be leveraged for highly challenging environments in industrial, medical and robotic domains.
  • “GML's Life-Ready AI will help users understand conversations in a natural and stress-free way like never before," said Christian Verbrugge, Senior Director Business Development at GrAI Matter Labs.

StreamUnlimited and GrAI Matter Labs Partner to Demonstrate World's First Real-Time Music/Media Source Separation AI Platform at IFA-2022

Retrieved on: 
Thursday, September 1, 2022

StreamUnlimited and GML will develop AI based reference platforms to deliver new and exciting experiences in speech, music and multi-media for portable speakers, soundbars, TVs and more.

Key Points: 
  • StreamUnlimited and GML will develop AI based reference platforms to deliver new and exciting experiences in speech, music and multi-media for portable speakers, soundbars, TVs and more.
  • "Our Life-Ready AI will leverage low latency and high-fidelity leadership in endpoint devices to revolutionize audio consumption devices across the edge," said Mahesh Makhijani, VP of Business Development at GrAI Matter Labs.
  • At GrAI Matter Labs we are in the business of Life-Ready AI.
  • StreamUnlimited works with a global cross-section of high-end audio, CEDIA-channel, premium and mainstream consumer electronics and smart home manufacturers.

More Than 2 Billion Shipments of Devices with Machine Learning will Bring On-Device Learning and Inference Directly to Consumers by 2027

Retrieved on: 
Wednesday, May 25, 2022

NEW YORK, May 25, 2022 /PRNewswire/ -- Artificial Intelligence (AI) is all around us, but the processes of inference and learning that form the backbone of AI typically take place in big servers, far removed from consumers. New models are changing all that, according to ABI Research, a global technology intelligence firm, as the more recent frameworks of Federated Learning, Distributed Learning, and Few-shot Learning can be deployed directly on consumers' devices that have lower compute and smaller power budget, bringing AI to end users.

Key Points: 
  • This might well prove to be an attractive proposition for many, as it does not involve uploading data onto a cloud server, making for more secure and private data.
  • The shift will take place in more powerful consumer devices, such as autonomous vehicles and robots, before making its way into the likes of smartphones, wearables, and smart home devices.
  • These findings are from ABI Research's Federated, Distributed and Few-Shot Learning: From Servers to Devices application analysis report.This report is part of the company's AI and Machine Learning research service, which includes research, data, and ABI Insights.
  • For more information about ABI Research's services, contact us at +1.516.624.2500 in the Americas, +44.203.326.0140 in Europe, +65.6592.0290 in Asia-Pacific, or visit www.abiresearch.com .

More Than 2 Billion Shipments of Devices with Machine Learning will Bring On-Device Learning and Inference Directly to Consumers by 2027

Retrieved on: 
Wednesday, May 25, 2022

NEW YORK, May 25, 2022 /PRNewswire/ -- Artificial Intelligence (AI) is all around us, but the processes of inference and learning that form the backbone of AI typically take place in big servers, far removed from consumers. New models are changing all that, according to ABI Research, a global technology intelligence firm, as the more recent frameworks of Federated Learning, Distributed Learning, and Few-shot Learning can be deployed directly on consumers' devices that have lower compute and smaller power budget, bringing AI to end users.

Key Points: 
  • This might well prove to be an attractive proposition for many, as it does not involve uploading data onto a cloud server, making for more secure and private data.
  • The shift will take place in more powerful consumer devices, such as autonomous vehicles and robots, before making its way into the likes of smartphones, wearables, and smart home devices.
  • These findings are from ABI Research's Federated, Distributed and Few-Shot Learning: From Servers to Devices application analysis report.This report is part of the company's AI and Machine Learning research service, which includes research, data, and ABI Insights.
  • For more information about ABI Research's services, contact us at +1.516.624.2500 in the Americas, +44.203.326.0140 in Europe, +65.6592.0290 in Asia-Pacific, or visit www.abiresearch.com .

GrAI Matter Labs Unveils Life-Ready AI with GrAI VIP at GLOBAL INDUSTRIE

Retrieved on: 
Monday, May 16, 2022

GrAI Matter Labs, a pioneer of brain-inspired ultra-low latency computing, announced today that it will be unveiling GrAI VIP, a full-stack AI system-on-chip platform, to partners and customers at GLOBAL INDUSTRIE, May 17th-20th, 2022.

Key Points: 
  • GrAI Matter Labs, a pioneer of brain-inspired ultra-low latency computing, announced today that it will be unveiling GrAI VIP, a full-stack AI system-on-chip platform, to partners and customers at GLOBAL INDUSTRIE, May 17th-20th, 2022.
  • (Photo: Business Wire)
    At GLOBAL INDUSTRIE, GML will demonstrate a live event-based, brain-inspired computing solution for purpose-built, efficient inference in a real-world application of robotics using the Life-Ready GrAI VIP chip.
  • GrAI VIP is an industry-first near-sensor AI solution with 16-bit floating-point capability that achieves best-in-class performance with a low-power envelope.
  • GrAI VIP is ready to deliver Life-Ready AI to industrial automation applications and revolutionize systems such as pick & place robots, cobots, and warehouse robots, as being demonstrated at the show, said Ingolf Held, CEO of GrAI Matter Labs.

Tilak Healthcare Raises €7m to Deploy Its Remote Vision Monitoring Platform

Retrieved on: 
Thursday, October 28, 2021

Tilak Healthcare also plans to launch OdySight Care, a remote vision monitoring solution for healthcare companies to meet the need for regular monitoring during clinical trials, and for health insurance groups for use in preventative health.

Key Points: 
  • Tilak Healthcare also plans to launch OdySight Care, a remote vision monitoring solution for healthcare companies to meet the need for regular monitoring during clinical trials, and for health insurance groups for use in preventative health.
  • At Tilak Healthcare, we believe that digital and video game technologies can contribute to solving some of the problems faced by healthcare systems around the world.
  • Tilak Healthcare has succeeded in reconciling clinical rigour and digital expertise, making OdySight one of the only clinically approved digital solutions for home vision monitoring.
  • Since our initial involvement, Tilak Healthcare has demonstrated the clinical effectiveness of OdySight in monitoring chronic diseases, particularly in the area of sight.

GrAI Matter Labs Named as CES 2022 Innovation Awards Honoree

Retrieved on: 
Wednesday, October 20, 2021

GrAI Matter Labs (GML), a pioneer in brain-inspired ultra-low latency computing solutions, today announced that it has been named a CES 2022 Innovation Awards Honoree for the Life-Ready GrAI VIP (Vision Inference Processor) product.

Key Points: 
  • GrAI Matter Labs (GML), a pioneer in brain-inspired ultra-low latency computing solutions, today announced that it has been named a CES 2022 Innovation Awards Honoree for the Life-Ready GrAI VIP (Vision Inference Processor) product.
  • View the full release here: https://www.businesswire.com/news/home/20211020005354/en/
    This years CES Innovation Awards program received a record high number of over 1,800 submissions.
  • The CES 2022 Innovation Awards honorees, including product descriptions and photos, can be found at CES.tech/innovation .
  • Many honorees will showcase their winning products in the Innovation Awards Showcase at CES 2022.

GML and FRAMOS Join Forces to Develop Life-Ready AI for 3D Industrial Vision

Retrieved on: 
Monday, October 4, 2021

GrAI Matter Labs (GML), a pioneer of brain-inspired ultra-low latency computing solutions, and FRAMOS, a leading global imaging provider, will unite at VISION 2021 to create Life-Ready AI for Industrial Vision Platforms.

Key Points: 
  • GrAI Matter Labs (GML), a pioneer of brain-inspired ultra-low latency computing solutions, and FRAMOS, a leading global imaging provider, will unite at VISION 2021 to create Life-Ready AI for Industrial Vision Platforms.
  • This project is based on FRAMOSs D435e Industrial Depth Camera and GML's GrAI VIP (Vision Inference Processor) and was formed to advance vision application development in robotics, automation, IoT-connected manufacturing, and more.
  • GML and FRAMOS will showcase the integration of the Life-Ready AI platform and D435e Industrial Depth Camera at the Vision 2021 in Stuttgart, Germany, taking place over three days starting October 5th.
  • Ferdinand Reitze, FRAMOS Product Manager 3D, is delighted about the integration, saying: GML successfully reduced the footprint of AI inference at the edge, while achieving best results, speed and low latency.