
-
analysesThe Robotics Reckoning: America’s Industrial Decline in the Face of China’s Ascendancy – SemiAnalysis
Americas, Asia, Automation, Automotive, Electronics & Machinery, Industrial, Metals and Minerals, Physical AI, RoboticsSheryl Rivera
ABB, Actuators, Agibot, AGVs, AI, ATI Industrial Automation, automation, Automotive Industry, autonomous guided vehicles, Basic Plan for Intelligent Robots, Bear Robotics, Belt and Road Initiative, birth rate crisis, Bosch, Boston Dynamics, BYD, CATL, Chile, China, CHIPS Act, CNC machines, cobots, collaborative robots, COVID-19, data scarcity, Destaco, DJI, DoD, DRC, Drones, Dylan Patel, economies of scale, Efort, electronics manufacturing, embodied AI, end-effectors, Estun, EU, FANUC, Festo, foundation models, gearboxes, general purpose robotics, Germany, Goldman Sachs, Google arm farm, GoPro, Guangdong, Harmonic Drive, Hero5, Hesai, high-mix low-volume production, humanoid robots, Hyundai, IEA, IGBT, Indonesia, industrial revolution, industrial robots, Industrie 4.0, Infineon, Inflation Reduction Act, Intel RealSense, iteration speed, Japan, Jeremie Eliahou Ontiveros, Jingci, JL MAG, Joe Ryu, joint encoders, Karma Drone, KUKA, labor economy, Leaderdrive, LG, LGES, LiDAR, lights-out factory, lithium-ion batteries, Lynas, Made in China 2025, manufacturing dominance, MCU, Microcontroller Unit, Midea Group, mobile manipulators, mobile robots, MOSFET, MP Materials, Nabtesco, NdFeB, Neodymium, next-gen robots, Niko Ciminelli, Ningbo Yungsheng, Northvolt, NVIDIA, NXP, oversupply strategy, Panasonic, permanent magnets, Peru, PLC, Programmable Logic Controller, quadrupeds, rare earths, Reyk Knuhtsen, Robert Ghilduta, robotics, robotics AGI, Rockwell, Samsung, Schmalz, Schunk, SemiAnalysis, servo motors, Shenzhen, Siasun, Sicomines Pact, Siemens, Silverado Policy Accelerator, South Korea, substantial transformation principle, supply chain, supply chain disruptions, Tesla Optimus, TXN, UBTech, United States, Unitree, Unitree G1, Universal Robots UR5e, US Department of Defense, Wang Xingxing, World Robot Conference 2024, Xi Jinping, Xiaomi, Yaskawa, Zimmer GroupIn a sweeping and incisive analysis titled “America Is Missing The New Labor Economy – Robotics Part 1“, published on March 11, 2025, by SemiAnalysis, authors Dylan Patel, Reyk Knuhtsen, Niko Ciminelli, Jeremie Eliahou Ontiveros, Joe Ryu, and Robert Ghilduta deliver a wake-up call to the United States and the broader Western world. The paper…
-
newsInfineon and Ekkono Collaborate to Drive Automotive Innovation with Embedded AI Solutions
Oleg Lazarov
MUNICH — The automotive industry faces the challenge of customizing vehicles to suit unique driving conditions, designs, and purposes. Addressing this challenge, Infineon Technologies AG introduces the AURIX™ microcontroller (MCU) family, offering advanced real-time computing capabilities for embedded AI in safety-critical automotive applications. Partnering with Infineon, Ekkono Solutions now presents a user-friendly software development kit…
-
newsNVIDIA’s DRIVE Thor Revolutionizes Next-Gen Transportation with Leading Industry Adoption
Americas, Artificial Intelligence, Automotive, Autonomous driving, Generative AI, Industrial, Transportation & LogisticsSheryl Rivera
acceleration computing, AI, Automotive Industry, autonomous driving, autonomous vehicles, Blackwell architecture, BYD, DRIVE Thor, electric vehicles, EV makers, future of transportation. Names: Xinzhou Wu, GAC AION, generative AI, GTC, Hyper, level 4 autonomy, Li Auto, mobility solutions, Nuro, NVIDIA, Plus, Waabi, WeRide, XPENG, ZEEKR, ZEEKR. Key words: revolutionizesSANTA CLARA — At the forefront of the next wave of transportation innovation, NVIDIA‘s DRIVE Thor™ centralized car computer has garnered significant attention, with major players in the automotive industry embracing its cutting-edge capabilities. Announced at the GPU Technology Conference (GTC), this revolutionary platform is set to redefine the landscape of autonomous vehicles and mobility…
-
newsVolkswagen Group Unveils Ambitious Plans to Revolutionize Mobility with AI-Powered Innovations
Oleg Lazarov
AI Lab, artificial intelligence, Audi, Automotive Industry, Carmen Schmidt, Carsten Helbing, charging strategies, connectivity, digital ecosystems, electric vehicles, infotainment, Michael Steiner, navigation applications, Oliver Blume, Porsche, Porsche AG, predictive maintenance, prototypes, speech recognition, Volkswagen, Volkswagen GroupWOLFSBURG — Volkswagen Group (ETR: VOW3), a global leader in automobile and commercial vehicle manufacturing, has announced its bold foray into the future of mobility through the integration of artificial intelligence (AI) into its digital products. In a press release today, the company revealed its strategic initiative aimed at harnessing AI to enhance infotainment, navigation…
-
newsContinental Positions for Growth in Autonomous Mobility with Dr. Ismail Dagli at the Helm
Sheryl Rivera
Advanced driver assistance systems, Ambarella, appointment, Aurora, Automotive Industry, Autonomous Mobility, Continental, Frank Petznick, Growth Opportunities, innovation, Ismail Dagli, Leadership Transition, Market Position, Partner-Focused Strategy, Philipp von Hirschheydt, Radar Sensors, Research and Development, Strategic Partnerships, Technology ExpertiseFRANKFURT AM MAIN — Continental (ETR: CON), the renowned German automotive parts manufacturing company, has announced a strategic leadership transition within its Autonomous Mobility business area. Effective October 1, Dr. Ismail Dagli (48) will take the reins, succeeding Frank Petznick, who, by his own request, will bid farewell to the company at the end of…
-
news21st Technical Congress in Berlin: AI Crucial for Connected and Automated Driving
Sheryl Rivera
21st Technical Congress in Berlin, AI, Alexander Kraus, artificial intelligence, Automated Driving, automation, Automotive, Automotive Industry, connected driving, continuous servicing, data-based methods, digitization, digitization path, Dr. Andree Hohm, Dr. Joachim Damasky, driverless mobility, electric powertrains, German Association of the Automotive Industry, Germany, Industrial, Industry 4.0, innovative solutions, Logistic, mobility, production ecosystems, Prof. Peter Gutzmer, safety, Science, smart mobility, technology, Thorsten Freund, Transportation, Ulrich Schrickel, VDABERLIN – The 21st Technical Congress in Berlin, organized by the German Association of the Automotive Industry (VDA), has brought together industry and political leaders to delve into the pivotal role of artificial intelligence (AI) in shaping the future of mobility and production. In discussions spanning connected and automated driving, world trade, and the impact of…
-
newsCRITICAL TechWorks: Uniting CRITICAL Software and BMW Group in AI-Driven Automotive Innovation
Sheryl Rivera
AI, AI Technologies, artificial intelligence, Automotive Industry, Automotive Innovation, Automotive Software Engineering, Car Sharing Services, Corporate Processes, Critical Software, Critical TechWorks, Customer Ecosystems, data analytics, Digitalization, Disruptive Innovations, Expertise, Gonçalo Quadros, In-car Systems, Joint Venture, Portugal, Smart Factories, Technological Excellence, technology, The BMW Group, Vehicle ConnectivityCOIMBRA – CRITICAL Software and the BMW Group have announced a strategic collaboration to establish a new joint venture named Critical TechWorks. This partnership aims to leverage the combined expertise of both companies in automotive software engineering, with a focus on enhancing in-car systems and driving digitalization across corporate processes. Gonçalo Quadros, CEO of CRITICAL…
-
newsVolkswagen Partners with NVIDIA to Introduce AI-Powered Co-Pilot Capabilities in Future Vehicles
Algorithms, Americas, Analytics, Artificial Intelligence, Automation, Automotive, Autonomous driving, Deep learning, Europe, IndustrialSheryl Rivera
SANTA CLARA — At CES 2018, NVIDIA, a trailblazer in AI computing, joined forces with Volkswagen to unveil a groundbreaking collaboration aimed at integrating artificial intelligence (AI) into Volkswagen’s future vehicle lineup, marking a significant leap forward in automotive innovation. NVIDIA’s CEO Jensen Huang, alongside Volkswagen CEO Herbert Diess, shared their vision for how AI…
What is RadicalShift AI?

RadicalShift.ai represents the paradigm shift the artificial intelligence (AI) brings upon all of us, from the way we live and work to the way we do business. To help cope with these fundamental changes across life, industries and the world in general, we are obsessively observing (30+ markets across multiple continents) and covering the AI industry while building a scalable open platform aimed at people, businesses and industry stakeholders to contribute across (benefit from) the entire spectrum of the AI industry from news, views, insights to knowledge, deployments, entities, people, products, tools, jobs, investors, pitch decks, and beyond, helping build what would potentially be a resourceful, insightful, knowledgeable and analytical source for AI related news, information and resources, ultimately becoming the AI industry graph/repository.
M | T | W | T | F | S | S |
---|---|---|---|---|---|---|
1 | 2 | 3 | 4 | |||
5 | 6 | 7 | 8 | 9 | 10 | 11 |
12 | 13 | 14 | 15 | 16 | 17 | 18 |
19 | 20 | 21 | 22 | 23 | 24 | 25 |
26 | 27 | 28 | 29 | 30 | 31 |
Latest Entries










🏭 INDUSTRIES / MARKETS:
- Accelerated computing
- Agent AI
- Agriculture
- AI accelerators
- AI assistants
- AI Inference
- AI models
- Algorithms
- Americas
- Analytics
- Apparel, Fashion & Beauty
- Art & Culture
- Artificial Intelligence
- Asia
- Augmented reality
- Automation
- Automotive
- Autonomous driving
- Aviation & Aerospace
- Banks
- Big Data
- Chatbots
- Chemicals
- Cloud
- Computer vision
- Construction
- Cybersecurity
- Data
- Data centers
- Datasets
- Deep learning
- Defence
- Digital twins
- Economy
- Edge AI
- Edge computing
- Education
- Electronics & Machinery
- Energy, Gas & Oil
- Entertainment
- Environment
- Europe
- Financial
- Food & Beverage
- Frameworks
- Gaming
- Generative AI
- Generative pre-trained transformers (GPT)
- Government
- Graph neural network (GNN)
- Graphics Processing Unit (GPU)
- Healthcare
- Industrial
- Infrastructure & Utilities
- Insurance
- International Trade
- Internet & Online
- Investment
- IoT
- LAMs (Large Action Models)
- Language model training
- Law
- LLMs (Large Language Models)
- Machine intelligence
- Machine learning
- Management
- Market
- Marketing
- Media
- Metals and Minerals
- Natural language processing (NLP)
- Neural networks
- Non Profit
- Open Source LLMs
- Pharma & Biotech
- Physical AI
- Politics
- Predictive analytics
- Probabilistic Modeling
- Prompt engineering
- Quantum Computing
- Real Estate
- Region
- Reinforcement learning
- Responsible AI
- Retail
- Retrieval-augmented generation (RAG)
- Robotics
- Science
- Security & Safety
- Semiconductors
- SLMs (Small Language Models)
- Society
- Speech recognition and generation
- Sports
- Startups
- Supercomputer
- Technology
- Telecom
- Text-to-image
- Text-to-video
- Transportation & Logistics
- Travel
- Virtual reality
🏷️ TAGS
5G Accenture acquisition AGI AI AI adoption AI agents AI applications AI deployment AI development AI Ecosystem AI infrastructure AI innovation AI Models AI research AI solutions AI technology AI tools AMD analytics API artificial intelligence augmented reality automation Automotive autonomous vehicles AWS Big Data ChatGPT Cloud cloud computing collaboration computer vision conversational AI cybersecurity data analysis data analytics Databricks Data Science deep learning Deutsche Telekom developers Digitalization digital transformation Drug Discovery Education energy efficiency Ericsson Europe Facebook Facebook AI generative AI Germany Google Google Cloud Google DeepMind Healthcare high-performance computing HPC Hugging Face IBM innovation Intel IoT Jensen Huang large language model large language models Llama LLMs logistics machine learning Manufacturing Meta Microsoft natural language processing neural networks NVIDIA open-source OpenAI operational efficiency Partnership privacy productivity PyTorch quantum computing reinforcement learning research responsible AI robotics safety Sam Altman SAP scalability security Siemens Software Development startups sustainability technology transparency
📂 ARCHIVE
- March 2025
- February 2025
- January 2025
- December 2024
- November 2024
- October 2024
- September 2024
- August 2024
- July 2024
- June 2024
- May 2024
- April 2024
- March 2024
- February 2024
- January 2024
- December 2023
- November 2023
- October 2023
- September 2023
- August 2023
- July 2023
- June 2023
- May 2023
- April 2023
- March 2023
- February 2023
- January 2023
- December 2022
- November 2022
- October 2022
- September 2022
- August 2022
- July 2022
- June 2022
- May 2022
- April 2022
- March 2022
- February 2022
- January 2022
- December 2021
- November 2021
- October 2021
- September 2021
- August 2021
- July 2021
- May 2021
- April 2021
- March 2021
- February 2021
- January 2021
- December 2020
- November 2020
- October 2020
- September 2020
- August 2020
- July 2020
- June 2020
- May 2020
- April 2020
- March 2020
- February 2020
- January 2020
- December 2019
- November 2019
- October 2019
- September 2019
- August 2019
- July 2019
- June 2019
- April 2019
- March 2019
- February 2019
- January 2019
- December 2018
- November 2018
- October 2018
- September 2018
- August 2018
- July 2018
- June 2018
- May 2018
- April 2018
- March 2018
- February 2018
- January 2018
- November 2017
- October 2017
- September 2017
- July 2017
- June 2017
- May 2017
- April 2017