
-
newsSiMa.ai Launches Modalix 50 TOPs MLSoC with Early Access Program for Multi-Modal and GenAI Edge Applications
AI models, Americas, Artificial Intelligence, Edge computing, Generative AI, Industrial, LLMs (Large Language Models), Machine learningSheryl Rivera
SAN JOSE — SiMa.ai, the leading provider of embedded edge machine learning system-on-chip (MLSoC) technology, has unveiled its highly anticipated Modalix 50 TOPs device and announced the launch of an Early Access Program for developers. Modalix is the first purpose-built platform to seamlessly integrate multi-modal applications, combining Transformers, LLMs, LMMs, and GenAI with traditional computer…
-
newsArm Powers NVIDIA DRIVE AGX Thor to Revolutionize AI in Autonomous Vehicles
AI assistants, AI models, Algorithms, Americas, Analytics, Artificial Intelligence, Automotive, Europe, Industrial, SupercomputerSheryl Rivera
AI, AI applications, AI capabilities, AI performance, ARM, Arm compute platform, Arm Neoverse, Arm technology, Armv9, Automated Driving, Automotive, automotive technology, autonomous driving, Blackwell architecture, CES 2025, cockpit features, convolutional neural networks, DRIVE AGX Thor, driver monitoring, functional safety, generative AI, Neoverse V3AE, NVIDIA, parking, passenger monitoring, power efficiency, semiconductor suppliers, Software-defined Vehicles, transformers, virtual platformsCAMBRIDGE — At CES each year, innovative technologies emerge that aim to address some of the most significant challenges across various industries. What many may not realize is that a substantial portion of these groundbreaking solutions is built on the Arm compute platform, and the automotive sector is no exception. As generative AI continues to…
-
newsSynopsys and SiMa.ai Join Forces to Drive AI-Powered Innovation in Automotive Edge Computing
AI assistants, AI models, Algorithms, Americas, Analytics, Artificial Intelligence, Automotive, Edge computing, Generative AI, Industrial, Machine learningSheryl Rivera
ADAS, AI for Work, AI-driven development, AI-powered innovation, automotive edge computing, Automotive Innovation, automotive-grade IP, CES 2025, chiplets, customizable SoCs, edge AI solutions, embedded edge AI, generative AI, hardware verification, hardware-software co-design, in-vehicle infotainment, Krishna Rangasayee, machine learning accelerator, MLSoC, multi-modal functions, next-generation vehicles, OTA updates, power efficiency, Ravi Subramanian, real-time AI, silicon-to-systems solutions, SiMa.ai, smarter mobility, Software-defined Vehicles, Synopsys, virtual prototyping, workload optimizationSUNNYVALE/ SAN JOSE — Synopsys, a leader in silicon-to-systems design solutions, and SiMa.ai, a pioneer in machine learning system-on-chip (MLSoC) solutions, have announced a strategic partnership to accelerate the development of AI-driven silicon and software for advanced driver assistance systems (ADAS) and in-vehicle infotainment (IVI). The collaboration aims to deliver cutting-edge tools that optimize hardware-software…
-
newsNVIDIA and SoftBank Forge Partnership to Lead Global AI Revolution and Transform Japan’s Telecom Sector
AI assistants, Algorithms, Americas, Analytics, Artificial Intelligence, Asia, Autonomous driving, Banks, Generative AI, Investment, LLMs (Large Language Models), Robotics, TelecomOleg Lazarov
AI Enterprise software, AI Inference, AI infrastructure, AI initiatives, AI supercomputer, AI-5G telecom network, AI-RAN, AITRAS, autonomous vehicles, Blackwell platform, DGX SuperPOD, digital transformation, field trial, Fujitsu, generative AI, Grace Blackwell platform, Japan, Kanagawa prefecture, large language models, mobile operations, multimodal retrieval, NVIDIA, NVIDIA Aerial CUDA-accelerated RAN, NVIDIA AI Aerial, NVIDIA AI Enterprise, NVIDIA Blackwell GPUs, NVIDIA DGX B200 systems, NVIDIA Grace CPUs, power efficiency, Quantum-2 InfiniBand, Red Hat, revenue streams, robotics control, SoftBank, Telecom, telecom infrastructureSANTA CLARA — NVIDIA has announced a strategic collaboration with SoftBank Corp. aimed at advancing Japan’s sovereign AI initiatives and solidifying the country’s leadership in global technology. The partnership is set to unlock significant AI revenue opportunities for telecommunications providers worldwide. At the NVIDIA AI Summit in Japan, CEO Jensen Huang revealed that SoftBank is…
-
newsJuniper Networks Invests in Recogni to Drive Scalable, Energy-Efficient GenAI Solutions for Complex AI Models
AI assistants, AI models, Algorithms, Americas, Analytics, Artificial Intelligence, Cloud, Data centers, Edge computing, Generative AI, IndustrialOleg Lazarov
AI Inference, AI inference accelerator, AI innovation, AI Models, AI operations, AI systems, AI-Native Networking, California, Celesta Capital, Cloud, cloud environments, cloud service providers, compute service providers, cost-effective AI systems, cost-effectiveness, data center, Data Centers, Edge, energy-efficient solutions, enterprises, Europe, generative AI, generative AI inference market, GreatPoint Ventures, hyperscalers, Juniper Networks, Juniper Networks AI-Native Networking Platform, Juniper’s venture funding, Marc Bolitho, networking, networking solutions, North America, Pareto mathematics, power efficiency, Rami Rahim, Recogni, Recogni’s AI accelerator, responsible scaling, scalability, Series C funding, total cost of ownership, venture fundingSUNNYVALE/ SAN JOSE — Juniper Networks, a leader in secure, AI-Native Networking, has announced its investment in Recogni, a pioneering company specializing in generative AI inference. As part of Recogni’s $102 million Series C funding round, co-led by Celesta Capital and GreatPoint Ventures, Juniper’s involvement will help accelerate the development of scalable, cost-effective, and energy-efficient solutions…
-
newsRecogni Secures $102 Million in Series C Funding to Advance AI Inference Solutions
Oleg Lazarov
AI acceleration technique, AI applications, AI Inference, AI inference solutions, BMW i Ventures, Celesta Capital, cost-effective AI computing, DNS Capital, efficient inference compute, generative AI, GreatPoint Ventures, low-power AI compute, Marc Bolitho, Mayfield, performance, Pledge Ventures, power efficiency, Recogni, Recogni Scorpio, Sriram Viswanathan, SW Mobility Fund, Tasaru Mobility InvestmentsSAN JOSE — Recogni, Inc., a pioneer in AI-based computing, has successfully closed a $102 million Series C funding round, co-led by Celesta Capital and GreatPoint Ventures. The investment, supported by existing investors Mayfield, DNS Capital, BMW i Ventures, and SW Mobility Fund, as well as new investors Pledge Ventures and Tasaru Mobility Investments, marks…
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