Hey there, futurists! Welcome back to Echoes of the Future  — the podcast where AI meets reality, and the future doesn’t knock — it just walks in and drops a Nobel-level mic.

Hi, My Name is Kalyan and I’m your host — an architect by day, digital dreamer by night — and today, we’re diving deep into an AI breakthrough that changed science as we know it:

Yes, we are talking today about Google DeepMind’s AlphaFold.

This isn’t just another AI story. This is the tale of how artificial intelligence decoded the building blocks of life — and opened the floodgates to a new era of medicine, biology, and innovation.

By the end of this episode, you’ll know:

• What AlphaFold actually does (well no PhD required),
• Why this is one of the greatest scientific achievements of our time,
• How AlphaFold is already transforming real-world problems,
• And what can we expect — with upcoming AlphaFold version — and how that could look like.

So what are we waiting for?
Let’s dive in…

References on Real world scenarios:

AlphaFold is transforming industries that touch every part of our lives:

• 💊 Faster Drug Discovery:
  In 2022, researchers used AlphaFold to design a small-molecule blocker for cancer-related protein CDK20 — in just 30 days.
  🔗 arxiv.org/abs/2201.09647
• 🌍 Tackling Neglected Diseases:
  The nonprofit DNDi used AlphaFold to find drug candidates for diseases like Chagas and leish-man-iasis 
  🔗 dndi.org
• 🦠 COVID-19 Pandemic Response:
  AlphaFold helped model SARS-CoV-2 proteins — speeding up insights, vaccine strategies, and therapeutic targets.
  🔗 sify.com
• ♻️ Environmental Innovation:
  Scientists used AlphaFold to design enzymes that break down plastics — helping us fight waste, one molecule at a time.
  🔗 nobelprize.org
• 🌐 Global Research Access:
  The AlphaFold DB is now being used by over 2 million scientists across 190 countries — catalyzing research at scale.
  🔗 deepmind.google

This isn’t AI in theory — this is AI in action. And I will post the link in the decription if anyone is interested to look further

Now let’s pause for applause. Because AlphaFold didn’t just get recognition — it made Nobel history.

In 2024, the Nobel Prize in Chemistry was awarded to:

• Demis Hassabis and John Jumper from DeepMind
• And David Baker from the University of Washington

The award celebrated their pioneering work on using AI to solve the protein folding problem — a scientific mystery once thought unsolvable.

For the first time ever, an AI-powered discovery won a Nobel Prize in the sciences.

A landmark moment.

A message to the world that AI isn’t just futuristic — it’s foundational.
🔗 nobelprize.org/chemistry/2024

🔗 References

1. Small molecule inhibitor via AlphaFold – https://arxiv.org/abs/2201.09647
2. DNDi on neglected diseases – https://dndi.org/news/2024/nobel-prize-chemistry-awarded-for-alphafold-an-ai-model-used-dndi-for-neglected-diseases
3. COVID-19 modeling – https://www.sify.com/ai-analytics/alphafold-3-by-deepmind-the-future-of-protein-folding-and-drug-discovery
4. Nobel Prize 2024 Press Release – https://www.nobelprize.org/prizes/chemistry/2024/press-release
5. DeepMind AlphaFold impact stories – https://deepmind.google/science/alphafold/impact-stories

Hey there, futurists! Welcome back to Echoes of the Future — the podcast where we listen to the signals of today and decode where the world is heading

Hi My name is Kalyan, and I’m your host  — An architect by day, digital dreamer by night, and today, your backstage pass to Google I/O 2025.

Because this year’s Google’s event? Is Packed. We’re talking AI copilots, glasses that feel like sci-fi, and creative tools that would make Spielberg do a double take.

Buckle up By the end of this episode, you’ll know:

• What Google’s biggest announcements mean for your life, work, and future,
• How to actually try these tools today, and which one to try, and how they felt when I tested them myself.
• And which ones are still in demo — but absolutely, worth keeping an eye on.

So what are we waiting for?

Lets Dive in.

Reference Link: https://io.google/2025/

Hey there, futurists! Welcome back to Echoes of the Future — the podcast where we listen to the signals of today and decode where the world is heading.

Hi, my name is Kalyan — and I am your host today. A fellow explorer of quantum leaps, digital dreams, and the occasional AI that makes your phone feel like it just got a PhD in everything.

And in today’s episode?
This isn’t just an update. It’s a Power move— the kind that makes you wonder if the future didn’t knock, it just walked in.

We’re diving into Google Gemini 2.0 — a shape-shifting, multitasking, language-powered AI system already living in your search results, your emails, your phone… and maybe even your video calls.

By the end of this episode, you’ll understand:

• What makes Gemini 2.0 different from its previous model
• What it can actually do in the real world
• How it is already integrated into your favorite apps
• And the wild new feature where it can literally "watch" your screen

Well, Grab your earbuds — and lets decode the future.

So what are we waiting for?
Let’s dive in.

Hey there, futurists — welcome back to Echoes of the Future.
The podcast where we listen to the signals of today… and decode where the world is heading.

Hi My name is Kalyan — and I am our host, A fellow explorer of AI, modern tech, quantum computing, and sometimes, the kind of experiments that make even science fiction say “slow down.”.

So let me ask you this:
What if I told you that a dish of lab-grown brain cells — yes, real neurons — not only stayed alive… but actually learned to play Pong?

Sounds weird?
Well, it is. But it’s also very real.

In today’s episode, we’re diving into the story of DishBrain, the brainchild of researchers at Cortical Labs, who connected living neurons to a video game and watched those cells learn — biologically.

We’ll also explore what happened next: a commercial product called CL1, the world’s first biological computer.

So what are we waiting for?

Let’s dive in.

Reference: 

Published Article: https://www.cell.com/neuron/fulltext/S0896-6273(22)00806-6?_returnURL=https%3A%2F%2Flinkinghub.elsevier.com%2Fretrieve%2Fpii%2FS0896627322008066%3Fshowall%3Dtrue

Cortical Labs: https://corticallabs.com/cl1.html

Hey there, futurists! Welcome back to Echoes of the Future — the podcast where we listen to the signals of today and decode where the world is heading.

Hi My name is Kalyan — I am your host and fellow explorer of AI, Modern Technology, infrastructure, and future ready innovations.

Today’s episode is about something you may not see — but it’s quietly running underneath almost every major application and website you use: containers, Docker, Kubernetes, Microservices and the magic of orchestration. 
Basically, the Avengers of backend infrastructure. Except with fewer capes and more YAML.

If you’ve ever thought, “Why does Netflix never crash during a binge session?” or “How does Instagram handle millions of photo uploads every minute?” — buckle up. We’re peeling back the curtain on how modern software is built and scaled.

So what are we waiting for?

Let’s dive in.

Hey there, futurists! Welcome back to Echoes of the Future — the podcast where we listen to the signals of today and decode where the world is heading.

My name is Kalyan and I am your host and fellow explorer of AI, modern technology, and future-ready innovation.

Today’s episode is about LLaMA 4 — Meta’s newest AI model that doesn’t just read — it sees, it speaks multiple languages, and best of all, it’s open for researchers to use.

Sounds impressive? It is.

By the end of this episode, you’ll understand how LLaMA 4 works, why it’s special, and how it might change the future of AI assistants — the ones you’ll chat with, build with, and maybe even trust your projects to.

So, what are we waiting for?

Let’s dive in.

Reference: https://ai.meta.com/blog/llama-4-multimodal-intelligence/

LLAMACON: https://www.llama.com/events/llamacon/2025/

Welcome back to Echoes of the Future — the podcast where we listen to the signals of today and decode where the world is heading.

My name is Kalyan — and I am your host and fellow explorer of AI, ML, tech, innovation, and quantum computing.

Today’s episode is about a type of light that behaves like Jell-O, and how it might play a surprising role in building the next generation of quantum computers.

Sounds wild? Yes It is.

But by the end of this episode, you’ll be able to explain “supersolid light” to your pet, your boss, or a 5-year-old kid — and you’ll see why scientists are seriously excited about it.

So what are we waiting?

Let’s dive in.

Hey there, futurists! Welcome back to Echoes of the Future — the podcast where we listen to the signals of today and decode where the world is heading.

I’m Kalyan — your host, and a fellow explorer in all things AI, tech, and transformation.

A quick thank you to my family, friends, and early listeners — your support means the world and fuels this journey into the future.

Today’s episode is sparked by a fantastic listener question:

“What’s the best way to learn AI from scratch — and what other skills go hand in hand with it?”

First of all — what a brilliant question.

If you're listening and thinking, “Yeah, AI seems cool, but I don’t know where to start…” — this episode is for you.

Let’s be honest — learning AI can feel like walking into a sci-fi library with no map. So today, I’m giving you the map… and maybe a flashlight… and a few snacks to keep you going.

Let’s dive in.

Highlights:

So… how do you go from “What is AI?” to “I built a chatbot”?

Step 1: Learn Python.

This is the language of AI. Beginner-friendly, powerful, and widely used. You don’t need to master it — just get comfortable with data types, loops, functions, and basic libraries.

Step 2: Learn the math — but don’t fear it.

A little algebra, probability, and linear algebra go a long way. Start with understanding vectors, matrices, and how models make predictions.

Step 3: Dive into Machine Learning.

Use libraries like scikit-learn, explore datasets from Kaggle, and train basic models — like predicting housing prices or classifying emails as spam.

Step 4: Play, don’t just study.

Use tools like:

• Google Colab – free notebooks in the cloud

• Teachable Machine – no-code model training from Google

• Hugging Face Spaces – ready-made AI demos you can tweak

AI is something you learn by doing. Not by memorizing formulas — but by experimenting.

Here are some parallel topics based on your interests:

1. Prompt Engineering – Learn how to “talk” to AI models like ChatGPT, Claude, Gemini, LLaMA, Mistral, Command R, Grok, Phi, and others.

2. AI for Creatives – Explore tools like DALL·E, RunwayML, ElevenLabs for art, video, or voice.

3. Data Visualization – Make your insights beautiful using Matplotlib, Seaborn, or Plotly.

4. Ethics in AI – If you care about fairness, justice, and human impact.

If you’re already in tech — say, a DevSecOps engineer, developer, or data engineer — you’re not starting from scratch.

For DevSecOps Engineers:

• Learn ML Ops with tools like MLflow, Kubeflow, and SageMaker Pipelines

• Get into model security — think adversarial attacks, model drift

• Explore RAG systems and vector search management

For Software Developers and Engineers:

• Focus on Python, scikit-learn, TensorFlow, and PyTorch

• Use FastAPI to deploy models

• Integrate AI into your apps using OpenAI APIs, LangChain, or Hugging Face

For Data Engineers:

• Move from ETL to feature engineering

• Use tools like Apache Airflow, Tecton, and Beam

• Try AutoML with BigQuery ML, SageMaker Autopilot, or Azure ML

Echoes of the Future – Episode 1: “AI Hype or History in the Making?”

Welcome to the very first episode of Echoes of the Future, where we explore the whispers of tomorrow through the technology of today.

I’m Kalyan — your host. I’m a technology enthusiast, AI evangelist. With close to 2 decades of experiences in the IT industry across diverse domains—from software development to cloud, data, AI and ML —I’ve seen tech evolve from dial-up days to deep learning models. I'm here not just to share my knowledge, but to grow with you. This podcast is a space to learn, question, and explore the future—together.

And we’re kicking things off with one of the most thrilling, controversial, and rapidly evolving topics of our time: Artificial Intelligence.

You’ve seen the headlines. Maybe you’ve even used a chatbot that sounded suspiciously smarter than your coworker. But today, we’re not just looking at what AI is doing — we’re asking: Is this just another overhyped tech wave, or are we standing at the edge of a true digital revolution?

Hey there, futurists! Welcome to Echoes of the Future — the podcast where tech meets humanity, AI meets curiosity, and machine learning meets... well, people like us just trying to keep up!

Hi My name I’m Kalyan — and I am your host, a lifelong techie, cloud wrangler, and AI enthusiast with over 2 decades of experience in the world of IT. I’ve built software, scaled cloud infrastructure, wrangled machine learning models, and helped teams ride the wave of digital transformation — and now I’m here to share what I’ve learned, what I’m still figuring out, and what’s coming next.

This podcast isn’t just about bytes and buzzwords. It’s about you and me, asking the big questions:
Where’s this all going? How do we keep up? And what does it mean to be future-ready?

Each week, we break down big ideas — from Current innovation to AI, Machine Learning to and the little things that are quietly reshaping our lives.

So hit follow or subscribe, grab your curiosity, and let’s explore this wild, wonderful digital frontier together.

You’ve just tuned into your front-row seat to what’s next.

Thank you!