Neural network

Nowcasting consumer price inflation using high-frequency scanner data: evidence from Germany

Retrieved on: 
Dienstag, April 23, 2024
Consensus, Online, Cream, Honey, Tax, Glass, MAPI, Consensus Economics, Journal of Economic Perspectives, Milk, Shower, Low-alcohol beer, Autoregressive–moving-average model, Infant, C3, Islam, Wine, Core inflation, Research Papers in Economics, National accounts, Kálmán, Barcode, Journal of International Economics, Communication, Royal Statistical Society, COVID19, Kohl (cosmetics), Natural disaster, Business, Observation, Paper, VAT, European Economic Review, Diebold Nixdorf, Blancmange, Calendar, Sunflower oil, Annual Review of Economics, Hand, C4, DESTATIS, NBER, Tinning, Razor, Forecasting, Gasoline, Coffee, European Economic Association, Cat, Journal of Monetary Economics, Journal of Applied Econometrics, Medeiros, Architecture, Oxford University Press, Producer, GfK, Quarterly Journal of Economics, Margarine, NCBS, Starch, Political economy, Consistency, COVID-19, Consensus decision-making, Website, MIDAS, Behavior, Deutsche Bundesbank, PPI, World Bank, Collection, Medical classification, Orange, Eurozone, Butter, FMCG, Noise, Travel, Clothing, History, Inflation, Liver, International economics, Journal of Political Economy, BSI, OLS, Statistics, Consumer, PDF, University of Chicago, Classification, ECB, Fats, Policy, Multi, WOB, Outline, C6, Mincing, Canadian International Council, Social science, Perfume, University of California, Berkeley, Journal of Forecasting, Federal Reserve Bank, JEL, L1, Journal, Research, Candle, Food, TPD, Credit, Spice, LPG, Janssen, Marmalade, Superior, Literature, Chocolate, Beef, Kiel University, European Central Bank, Natural gas, HICP, Monetary economics, Yogurt, Section 5, ILO, Bermingham, Price, GTIN, Cheese, Macroeconomics, Growth, Beck, XJ, Government, De Beer, Supermarket, Ice cream, Naturally, C53, Corn flakes, BIS, Biscuit, LASSO, Petroleum, A.2, Poultry, Accuracy and precision, Application, White, Lettuce, Risk, ESCB, University of Siegen, OECD, Chapter One, Lipstick, Sack, XT, BIC, Garlic, Consumption, Sokol, Meat, VAR, Database, Section 3, Rusk, American Economic Journal, Royal, Curd, Overalls, Lamb, Great Lockdown, Fruit, Economy, COICOP, International Journal of Forecasting, Aftershave, Section 2, Nonparametric statistics, Attention, Conference, CPI, Heat, Public economics, Common sunflower, Nowcasting, American Economic Review, Computational Statistics (journal), GFK, COVID-19 pandemic, Exercise, Shock, Running, UNECE, Edible, Gambling, Banco, Rigid transformation, European Commission, Frozen, C.2, PRISMA, Official statistics, Concept, Drink, Transaction data, Somatosensory system, Punctuality, Altbier, Food prices, Response, GDP, Index, E31, Cabinet of Germany, Holiday, Machine learning, Series, Green, Whisky, Vegetable, Cola, Journal of Econometrics, Sadik Harchaoui, University, Aggregate, World Bank Group, B.1, Use, Book, Economic statistics, Civil service commission, 1L, Apple, Bread, Filter, Central bank, Brandeis University, Economic Modelling, Bank, Barkan, Roulade, Dairy product, Neural network, Reproduction, IMF, Section, ID, Data, D4L, Cryptocurrency
Key Points: 

    Sekur Private Data Ltd. Adds US Tech Disruptor and Innovator to Board of Advisors

    Retrieved on: 
    Donnerstag, März 21, 2024
    Microsoft, Intel, Special forces, Machine learning, Federal Supreme Court, University, Growth, Data science, Aswath Damodaran, Partnership, Information commissioner, Data mining, Risk, Knowledge, Internet, FRA, Neural network, Predictive analytics, Business intelligence, Behavior informatics, IP, Privacy, Swiss Federal Constitution, Artificial intelligence, Cryptocurrency

    He adds unparalleled expertise and strategic vision to Sekur's disruptive approach to new and unique privacy and cybersecurity solutions.

    Key Points: 
    • He adds unparalleled expertise and strategic vision to Sekur's disruptive approach to new and unique privacy and cybersecurity solutions.
    • Michael Giuliano is an American entrepreneur and scholar that has independently designed, developed, patented, and commercialized products in excess of $2B USD.
    • He has a mastery level in the areas of Data Science, Artificial Intelligence, Machine Learning, Neural Networks, Quantitative Analytics, Predictive Analytics, Business Intelligence, Organizational Change.
    • He is an active board member for top echelon leadership organizations including Special Forces, Cyber, Tactical, and Corporations.

    AI2, The Allen Institute for AI, Today Releases the OLMo: A State-of-the-Art, Truly Open-Source LLM and Framework

    Retrieved on: 
    Donnerstag, Februar 1, 2024
    Science, Software, Other Science, Research, Hardware, Artificial Intelligence, Data Management, Technology, Carbon, Allen Institute, Neural network, Family, Language, AI, Harvard University, Natural language processing, AMD, Solar System, Mosaic, Engineering, Artifact, API, Computer science, Fashion show, Drug discovery, LUMI, CSC, Intelligence, Databricks, NLP, Meta, Artificial intelligence, University, Nature, AI2, Medical device

    Releasing the OLMo framework will provide the industry with an opportunity to understand what is going on inside AI models.

    Key Points: 
    • Releasing the OLMo framework will provide the industry with an opportunity to understand what is going on inside AI models.
    • Today, The Allen Institute for AI (AI2) has released OLMo 7B, a truly open-source, state-of-the-art large language model released alongside the pre-training data and training code, something no open models of this scale offer today.
    • This empowers researchers and developers to use the best and open models to advance the science of language models collectively.
    • “We’re excited to be collaborating with the Allen Institute for AI on the release of their OLMo open-source model and framework.

    Advanced Space's Resilient CAPSTONE Mission for NASA is Operating at the Moon for 445 Days: Continues to Transform Exploration with Cutting Edge Technology

    Retrieved on: 
    Donnerstag, Februar 1, 2024
    Navigation, CAPS, DSO, Congestion, Neural network, Little, CSAC, Orbit, Jet Propulsion Laboratory, NRHO, SDR, Ames Research Center, Kennedy Space Center, Artemis 1, Automation, System, Morehead State University, DSN, Spacecraft, Silicon, LRO, NASA Deep Space Network, NASA Launch Services Program, Software, Workload, NASA, PNT, Communications satellite

    WESTMINSTER, Colo., Feb. 1, 2024 /PRNewswire/ -- Advanced Space, a leading space tech solutions company, is pleased to announce that CAPSTONE™ – the Cislunar Autonomous Positioning System Technology Operations and Navigation Experiment – continues to be "The Little Satellite That Could" as it flies near the Moon over 440 days. The spacecraft is conducting operations in Near Rectilinear Halo Orbit (NRHO); achieving record-long mission operational "up times;" conducting experiments that demonstrate its usefulness for position, navigation, and timing (PNT); and for testing software at the Moon.

    Key Points: 
    • CAPSTONE™ continues to be “The Little Satellite That Could” as it flies near the Moon for 445 days.
    • The 112 days were interrupted by a system reset caused by a ground station being unavailable as scheduled.
    • On the positive side, this brief reset meant that the spacecraft operated as designed when it didn't hear from us.
    • Currently, CAPSTONE is using the NASA DSN ground architecture, but other ground segments could be demonstrated.

    Mobile AI Market to grow by USD 39.91 billion between 2023 to 2028, Globally at 26.78% CAGR - Technavio

    Retrieved on: 
    Montag, Januar 29, 2024
    Cloud, Speech, Virtual reality, Learning, Neural network, Machine learning, Edge computing, Challenge, Magnetic resonance, Facial recognition, Artificial intelligence, NLP, Gesture recognition, Intelligence, Human–computer interaction, WhatsApp, Computer, Voice recognition, Robotics, AI, Cloud computing, Algorithm, Communication, Growth, HMI, Chatbot, App Store (iOS/iPadOS), Original equipment manufacturer, YOY, USD, UX, Software, Computer vision, Apple, VR, Smartphone, Augmented reality, Snapchat, Natural language, Natural language processing

    NEW YORK, Jan. 29, 2024 /PRNewswire/ -- The mobile AI market is estimated to grow by USD 39.91 billion from 2023 to 2028, according to Technavio.

    Key Points: 
    • NEW YORK, Jan. 29, 2024 /PRNewswire/ -- The mobile AI market is estimated to grow by USD 39.91 billion from 2023 to 2028, according to Technavio.
    • The market is estimated to grow at a CAGR of 26.78% with a YOY growth rate of 26.33% during the forecast period.
    • By geography, the mobile AI market is segmented into North America, Europe, APAC, South America, and the Middle East and Africa.
    • The Aerospace Artificial Intelligence (AI) Market is projected to increase by USD 4,694.7 million at a CAGR of 43.6% between 2023 and 2028.

    Builder.ai’s Natasha: Now Everywhere, Your Constant Companion in Software Development

    Retrieved on: 
    Dienstag, Dezember 12, 2023
    Knowledge, Workflow, AI, Human, Neural network, Intelligence, Digital transformation, Human voice, Business, Software, Sales

    Delivering support for your business from start to finish of the digital journey, guiding you through the entire process of app ideation, design and development.

    Key Points: 
    • Delivering support for your business from start to finish of the digital journey, guiding you through the entire process of app ideation, design and development.
    • But today marks a new journey for Builder.ai and Natasha, as she now goes beyond helping with just building a solution, now she’s your constant companion as you scale your ideas.
    • "She's grown, learned, and now stands ready to be an even more integral part of our software development assembly line."
    • Meet Natasha at www.builder.ai/natasha and see how she slowly starts to evolve into a contextual companion across the journey and beyond.

    High Performance Computing for Automotive

    Retrieved on: 
    Donnerstag, Dezember 7, 2023
    Embedded, GPU, Classification, Electric car, Computer, Acquisition, Policy, Personal computer, Acceleration, Socs, PCB, Traction, Semiconductor, 2600-series (CTA), Element, Algorithm, Artificial intelligence, Intel, Central processing unit, TSMC, RAM, Graphics processing unit, CPU, Mobileye, NVIDIA, SOC, DL, 2D, Neural network, SAE, HPC, AMD, Deep learning, Autonomy, Torque, ICS, 3D, 2000s, ADAS, Sensor, Fin field-effect transistor, Silicon, Noise, Environment, Renesas Electronics, Samsung, Transport, Instrumentation, Video game, Nvidia

    However, sensors alone are next to useless without high performance computing processing their data and constructing a 3D rendering of the environment to inform the vehicle's programmed driving policy.

    Key Points: 
    • However, sensors alone are next to useless without high performance computing processing their data and constructing a 3D rendering of the environment to inform the vehicle's programmed driving policy.
    • High performance computing (HPC) takes the real-time data outputs from the array of sensors and performs several important processes.
    • As such, automotive HPC developers need to think about how they can optimize existing technologies to get the most performance.
    • With increasing demand for high performance computing in vehicles and a necessity for continual performance growth, there will be a rapid evolution in the technology that goes into automotive computers.

    High Performance Computing for Automotive

    Retrieved on: 
    Donnerstag, Dezember 7, 2023
    Embedded, GPU, Classification, Electric car, Computer, Acquisition, Policy, Personal computer, Acceleration, Socs, PCB, Traction, Semiconductor, 2600-series (CTA), Element, Algorithm, Artificial intelligence, Intel, Central processing unit, TSMC, RAM, Graphics processing unit, CPU, Mobileye, NVIDIA, SOC, DL, 2D, Neural network, SAE, HPC, AMD, Deep learning, Autonomy, Torque, ICS, 3D, 2000s, ADAS, Sensor, Fin field-effect transistor, Silicon, Noise, Environment, Renesas Electronics, Samsung, Transport, Instrumentation, Video game, Nvidia

    However, sensors alone are next to useless without high performance computing processing their data and constructing a 3D rendering of the environment to inform the vehicle's programmed driving policy.

    Key Points: 
    • However, sensors alone are next to useless without high performance computing processing their data and constructing a 3D rendering of the environment to inform the vehicle's programmed driving policy.
    • High performance computing (HPC) takes the real-time data outputs from the array of sensors and performs several important processes.
    • As such, automotive HPC developers need to think about how they can optimize existing technologies to get the most performance.
    • With increasing demand for high performance computing in vehicles and a necessity for continual performance growth, there will be a rapid evolution in the technology that goes into automotive computers.

    Hyper.Train™, Hyper Intelligence Inc.'s Flagship Product, Emerges from Stealth to Deliver 30% Reduction in Costs for LLM and Generative AI Organizations

    Retrieved on: 
    Freitag, November 10, 2023
    Cloud, GPU, LLM, Generative, Safety, Organization, GAIS, Synthetic media, Neuron, Intel, Graphics processing unit, NVIDIA, Neural network, AMD, Growth, Entanglement, AI, Government, GAI, 3D printing, Cryptocurrency

    NEW YORK, Nov. 10, 2023 /PRNewswire/ -- Hyper Intelligence, Inc. announces the launch of its flagship software product, Hyper.Train™, a proprietary, quantum-inspired algorithm that drastically enhances how Large Language Models (LLMs) operate on AI infrastructure.  Hyper.Train™ optimizes and removes redundancy within LLMs using three patented methods resulting in a reduction of the total cost of ownership for AI compute by at least 30% or more.  

    Key Points: 
    • Hyper.Train™ optimizes and removes redundancy within LLMs using three patented methods resulting in a reduction of the total cost of ownership for AI compute by at least 30% or more.
    • "We believe that LLMs and GAIs can solve pressing global challenges," said Jason Turner, Chairman, Hyper Intelligence and CEO of Entanglement .
    • Inefficiencies in LLM and Generative AI (GAI) cost the largest service providers and companies hundreds of millions to billions of dollars per year.
    • Hyper.Train™ solves this challenge by utilizing quantum-inspired algorithms and proprietary techniques to reduce costs by 30% while improving compute capacity thereby allowing AI and LLM organizations to run larger, more efficient training models.

    Media Alert: BrainChip Highlights Akida 2.0 Innovations at tinyML Asia Technical Forum in Korea

    Retrieved on: 
    Donnerstag, Oktober 26, 2023
    Networks, Hardware, Nanotechnology, Technology, Artificial Intelligence, Internet of things, ASX, Smart Agriculture Competition, Intelligence, OTCQX, Temporal, ADR, Human, Neural network, Health, Machine learning, BrainChip, ML, Ten Out of Tenn, Vital signs, Memory, Mobile phone, Video game, Akida

    BrainChip Holdings Ltd (ASX: BRN, OTCQX: BRCHF, ADR: BCHPY), the world’s first commercial producer of ultra-low power, fully digital, event-based, neuromorphic AI IP, will highlight innovative features of the Akida™ 2.0 architecture platform to attendees of the tinyML Asia Technical Forum November 16th in Seoul, Korea.

    Key Points: 
    • BrainChip Holdings Ltd (ASX: BRN, OTCQX: BRCHF, ADR: BCHPY), the world’s first commercial producer of ultra-low power, fully digital, event-based, neuromorphic AI IP, will highlight innovative features of the Akida™ 2.0 architecture platform to attendees of the tinyML Asia Technical Forum November 16th in Seoul, Korea.
    • It is the technology powering many of today’s advanced applications from image recognition to voice interfaces to self-driving vehicles and beyond.
    • At the forum, Sean Hehir, BrainChip CEO, will showcase new Akida features, including Temporal Event-based Neural Networks (TENNs), Visual Transformers and on-device learning.
    • Those interested in a private meeting with BrainChip can contact [email protected] to schedule an appointment.