IS 5320 – Hrishabh Kulkarni

Hrishabh Kulkarni – IS 5320

Tag: AI Trends 2026

  • DeepSeek and Open Source AI

    DeepSeek and Open Source AI – Why Free AI Models Are Taking Over

    Introduction

    For a long time, the most powerful AI models in the world were locked behind expensive subscriptions and controlled by a handful of big tech companies. DeepSeek, a Chinese AI startup, changed everything by releasing a powerful AI model for free that anyone in the world can use and modify.

    What Is Open Source AI?

    Open source AI means that the code, architecture, and weights of an AI model are made publicly available for anyone to download, use, and build upon. This is the opposite of closed models like OpenAI’s ChatGPT or Google’s Gemini, where access is controlled and users must pay to use the technology through an API.

    DeepSeek’s Big Moment

    DeepSeek’s initial release in January 2025 sent shockwaves through the technology industry, wiping $593 billion from NVIDIA’s market value in a single day. The model proved that a smaller, more efficient AI system could match the performance of expensive models built by companies spending billions of dollars on computing hardware.

    Why It Matters for Developers

    For startups and independent developers, DeepSeek’s open source approach means they can run high-quality AI locally on their own servers without paying for expensive API access. Industries like healthcare and finance, where data privacy is critical, benefit especially because sensitive information never has to leave their own secure systems.

    The Broader Impact on AI

    DeepSeek’s success has proven that AI progress does not depend only on massive computing power and billion-dollar budgets. It has accelerated the open-source AI movement and pushed companies like Meta with its Llama models to also release competitive free alternatives, increasing healthy competition across the entire AI industry.

    What’s Next for Open Source AI

    Reuters reports that 2026 will see a new wave of low-cost, high-performance Chinese AI models following DeepSeek’s footsteps, further intensifying competition with American AI companies. This shift in the AI landscape means more people around the world will have access to powerful AI tools regardless of their budget or location.

    Useful Links:

    Article and Image References:

    Georgia State University. (2025, February 4). How DeepSeek is changing the AI landscape. GSU News. https://news.gsu.edu/2025/02/04/how-deepseek-is-changing-the-a-i-landscape/

    Reuters. (2026, February 12). A year on from DeepSeek shock, get set for flurry of low-cost Chinese AI models. Reuters. https://www.reuters.com/world/china/year-deepseek-shock-get-set-flurry-low-cost-chinese-ai-models-2026-02-12/

    https://www.freepik.com/free-photo/double-exposure-caucasian-man-virtual-reality-vr-headset-is-presumably-gamer-hacker-cracking-code-into-secure-network-server-with-lines-code_10139138.htm#fromView=search&page=1&position=6&uuid=ac7ebbf7-8baa-49f4-aa6a-d2eae5eb97cd&query=open+source+technologyartificial+intelligence+code

  • Physical AI

    Physical AI When Artificial Intelligence Meets the Real World

    Introduction

    Artificial intelligence has mostly lived inside computers and phones, helping us write emails or answer questions. Physical AI is a new and exciting development where AI moves beyond screens and actually interacts with the real world through robots, vehicles, and machines.

    What Is Physical AI?

    Physical AI refers to artificial intelligence systems that can perceive, understand, reason about, and act within the physical world in real time. Unlike traditional robots that simply follow pre-programmed instructions, Physical AI systems learn from their environment and adapt their behavior based on what they see and sense.

    How It Works

    These systems combine computer vision, natural language processing, and motor control into a single intelligent framework called a vision-language-action model. Specialized processors built into the robots allow them to make quick decisions on their own without needing to connect to the cloud for every action.

    Real-World Applications

    Physical AI is already being tested in warehouses, manufacturing plants, and logistics centers where robots autonomously sort, carry, and organize items. At CES 2026, NVIDIA announced that robotics is approaching its “ChatGPT moment,” releasing open frameworks and models specifically designed to make physical AI robots easier to build and deploy.

    Why It Matters in 2026

    Companies like NVIDIA, Arm, and Qualcomm are heavily investing in physical AI, signaling that this technology is moving from lab experiments to real-world deployment at scale. Deloitte predicts that over the next two years, physical AI will expand far beyond traditional industries into healthcare, consumer products, and public infrastructure.

    What Comes Next

    The next big milestone will be humanoid robots powered by agentic AI brains that can plan complex tasks, recover from mistakes, and operate in unpredictable environments. This convergence of physical AI and agentic AI is expected to redefine automation across nearly every industry over the coming decade.

    Useful Links:

    Article And Image References:

    Deloitte. (2026, February 8). AI goes physical: Navigating the convergence of AI and robotics. Deloitte Insights. https://www.deloitte.com/us/en/insights/topics/technology-management/tech-trends/2026/physical-ai-humanoid-robots.html

    Schmelzer, R. (2026, January 10). Physical AI made waves at CES 2026. What is it? Forbes. https://www.forbes.com/sites/ronschmelzer/2026/01/10/
    physical-ai-made-waves-at-ces-2026-what-is-it/

    https://unsplash.com/photos/a-modern-black-robot-with-blue-accents-and-orange-accents-36P9drFnbRs