Recent Developments of RRTS in Gurugram (Nov 2025)

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Introduction

The Regional Rapid Transit System (RRTS) is a significant infrastructural development aimed at enhancing connectivity and reducing travel time within the National Capital Region (NCR) of India. With its focus on high-speed rail networks, the RRTS is poised to transform urban mobility in the region. Gurugram, a pivotal city within the NCR, is at the heart of these developments. Recent advancements in the RRTS projects in Gurugram underline the city's strategic importance in India's broader urban mobility agenda.

Overview of RRTS in Gurugram

The Delhi-Gurugram-SNB section of the Delhi-Alwar RRTS corridor is a crucial segment of the 164-km project under Phase I. This corridor, prioritized under the PM Gati Shakti Master Plan in 2023, aims to link Sarai Kale Khan in Delhi to Alwar, passing through key areas including Munirka, Aerocity, Gurugram, Rewari, and Sotanala. It will feature 22 stations, with 17 elevated and five underground, thereby offering a fast and reliable travel option while easing congestion and pollution in the NCR (The New Indian Express).

Recent Developments

Consultancy Tender and Project Management

In a significant move, the National Capital Region Transport Corporation (NCRTC) floated a tender to appoint a general consultant. This consultant will be responsible for project management, design reviews, quality assurance, and inter-agency coordination to ensure the timely execution of the Delhi-Gurugram-SNB corridor (The New Indian Express).

Extension to Bawal

Initially, the RRTS project was planned to terminate at Dharuhera. However, following objections from Haryana cabinet minister Rao Narbir Singh, the project has received in-principle approval for extension up to Bawal. Singh argued that Bawal's industrial base and expanding multi-modal logistics hub made it an essential stop for the RRTS line. This extension is expected to strengthen economic and transport linkages between Gurugram, Rewari, and Rajasthan's industrial clusters (Hindustan Times).

Urban Mobility Conference

At the 18th Urban Mobility India Conference held in Gurugram, Haryana's Chief Minister Nayab Singh Saini emphasized the expansion of metro networks in Gurugram, Faridabad, Bahadurgarh, and Sonipat. The focus is on prioritizing Regional Rapid Transit System (RRTS) and Namo Bharat corridors to strengthen regional connectivity. These high-speed rail networks aim to directly connect Delhi, Gurugram, Karnal, and Jewar Airport, creating a new economic corridor within the NCR (Hindustan Times).

Challenges and Roadblocks

Despite the progress, the RRTS project in Gurugram faces challenges. A notable issue is the alignment of the new Metro's Cyber City terminal plan, which has encountered roadblocks due to conflicting RRTS alignments in Gurgaon. These challenges highlight the complexities involved in integrating multiple urban mobility projects within a rapidly growing city (Times of India).

Future Directions

The ongoing developments in Gurugram's RRTS projects are part of a larger vision to expand urban mobility across India. Union Minister Manohar Lal has suggested that such systems should extend beyond the Delhi-NCR to other major metropolitan regions like Chennai, Mumbai, and Bengaluru. This expansion is crucial for reducing travel time between urban clusters and enhancing regional connectivity (Hindustan Times).

Conclusion

The developments in the RRTS projects within Gurugram represent a significant stride towards improving urban mobility and connectivity in the NCR. While challenges remain, the strategic planning and execution of these projects are likely to yield substantial benefits in terms of economic growth and environmental sustainability. As Gurugram continues to evolve as a key node in India's urban transit network, the successful implementation of the RRTS will serve as a model for other cities aiming to enhance their transit systems.

References

The New Indian Express. "NCRTC advances Delhi-Gurugram-SNB RRTS corridor, floats consultancy tender." 2025. https://www.newindianexpress.com/cities/delhi/2025/Oct/15/ncrtc-advances-delhi-gurugram-snb-rrts-corridor-floats-consultancy-tender

Hindustan Times. "Haryana clears extension of RRTS link from Dharuhera to Bawal." 2025. https://www.hindustantimes.com/cities/gurugram-news/haryana-clears-extension-of-rrts-link-from-dharuhera-to-bawal-101760207317373.html

Hindustan Times. "Haryana to expand metro, RRTS under urban mobility push: CM Saini." 2025. https://www.hindustantimes.com/cities/gurugram-news/haryana-to-expand-metro-rrts-under-urban-mobility-push-cm-saini-101762644155979.html

Times of India. "New Metro’s Cyber City terminal plan hits roadblock over RRTS alignment in Gurgaon." 2025. https://timesofindia.indiatimes.com/city/gurgaon/new-metros-cyber-city-terminal-plan-hits-roadblock-over-rrts-alignment-in-gurgaon/articleshow/123954107.cms

Tags: Railways,Gurugram,

Recent Developments in Rail Network, Metro Rail, and RRTS in Gurugram

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Introduction

Gurugram, a rapidly growing city in the National Capital Region (NCR) of India, is witnessing significant advancements in its rail and metro infrastructure. These developments are part of a broader initiative to enhance urban mobility and regional connectivity, aligning with India's Vision 2047 to become a developed nation. This report delves into the recent advancements in Gurugram's rail network, metro rail, and the Regional Rapid Transit System (RRTS), examining their implications for urban growth and connectivity.

Expansion of Metro Networks

The Haryana government is actively expanding metro networks in Gurugram, Faridabad, Bahadurgarh, and Sonipat. This expansion is a critical component of the state's Urban Mobility Programme, which aims to drive sustainable and connected city growth. At the 18th Urban Mobility India (UMI) Conference and Exhibition 2025 in Gurugram, Chief Minister Nayab Singh Saini emphasized the importance of these initiatives in achieving India's Vision 2047 (Hindustan Times).

The plan to link the Gurugram Railway Station directly with the city's metro network has reached a significant milestone. A proposal for a 1.8 km metro spur from Sector 5 to the station has been finalized and is awaiting approval from the Gurugram Metro Rail Limited (GMRL) board, the Haryana government, and the Union Ministry of Housing and Urban Affairs (Swarajya). This extension, estimated at Rs 450 crore, is expected to significantly boost ridership by enhancing last-mile connectivity.

Regional Rapid Transit System (RRTS)

The RRTS is a high-speed rail network designed to strengthen regional connectivity within the NCR. The proposed corridors will directly connect Delhi, Gurugram, Karnal, and Jewar Airport, creating a new economic corridor (Hindustan Times). The Delhi-Gurugram-SNB section of the Delhi-Alwar RRTS is a key corridor under Phase I of the 164-km project. This section, prioritized under the PM Gati Shakti Master Plan, aims to ease congestion and pollution in the NCR while providing a fast and reliable travel option (New Indian Express).

Integration with Existing Infrastructure

The integration of new metro and RRTS lines with existing infrastructure is crucial for maximizing the benefits of these projects. The Delhi Metro Rail Corporation (DMRC), through its subsidiaries, will serve as the nodal arm for consultancy, construction, and management support to Mass Rapid Transit Systems nationwide (Babushahi). This collaboration aims to ensure seamless connectivity and coordination across different transport modes.

Economic and Social Implications

The expansion of Gurugram's rail network and metro infrastructure is expected to have significant economic and social implications. By improving connectivity and reducing travel time, these projects will enhance the city's attractiveness for businesses and residents alike. The creation of new economic corridors will likely spur investment and job creation, contributing to the region's overall economic growth.

Furthermore, the emphasis on sustainable and integrated transport solutions aligns with global trends towards reducing carbon emissions and promoting environmentally friendly urban development. The deployment of 10,000 electric buses under the PM e-Bus Sewa, including 100 e-buses for Gurugram, underscores the commitment to sustainable urban mobility (Babushahi).

Conclusion

The recent developments in Gurugram's rail network, metro rail, and RRTS represent a significant step towards achieving sustainable urban mobility and regional connectivity. These projects are poised to transform Gurugram into a more accessible, efficient, and attractive city, aligning with India's broader vision of becoming a developed nation by 2047. As these initiatives progress, they will play a critical role in shaping the future of urban transport in the NCR, offering a model for other cities to emulate.

References

Hindustan Times. "Haryana to expand metro, RRTS under urban mobility push: CM Saini." https://www.hindustantimes.com/cities/gurugram-news/haryana-to-expand-metro-rrts-under-urban-mobility-push-cm-saini-101762644155979.html.

Swarajya. "Gurugram Metro Spur To Railway Station Finalised, Rs 450 Crore Project Awaits State And Centre’s Nod." https://swarajyamag.com/news-brief/gurugram-metro-spur-to-railway-station-finalised-rs-450-crore-project-awaits-state-and-centres-nod.

New Indian Express. "NCRTC advances Delhi-Gurugram-SNB RRTS corridor, floats consultancy tender." https://www.newindianexpress.com/cities/delhi/2025/Oct/15/ncrtc-advances-delhi-gurugram-snb-rrts-corridor-floats-consultancy-tender.

Babushahi. "Manohar Lal opens 18th Urban Mobility India in Gurugram; RRTS-style systems planned for more cities." https://www.babushahi.com/view-news.php?id=213191.

Tags: Railways,

From Star Trek to Quantum Reality -- How Uncertainty Fuels Discovery

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Image generated using ChatGPT for illustration purpose

By Dr. David Awschalom

When I look out and see students in the audience, I can’t help but think back to my own student days.
And yes — I, too, was once a student.

But unlike many of you, I struggled a bit during my first semester in college. Not because of the coursework — but because I discovered something far more captivating: television.

Growing up, my parents kept a tight leash on screen time. But suddenly, I had freedom — and that’s when I stumbled upon reruns of the original Star Trek.

It was more than a show. It was a revelation.

Led by a courageous captain and a hyper-logical science officer, the Starship Enterprise wasn’t just exploring space — it was exploring possibility. Their tools — communicators, holograms, universal translators — looked like science fiction back then. Today, they’re everyday reality (well, except for teleporters… we’re working on it).

What fascinated me most wasn’t the technology. It was the mindset.
The embrace of uncertainty.

While our brains are wired to avoid the unknown — to fear ambiguity — the crew of the Enterprise ran toward it.
And somehow, that spoke to me deeply. I didn’t have the words for it back then, but I found uncertainty exciting. It represented potential.

Years later, I’d come to realize that uncertainty is not just the foundation of science — it’s the foundation of quantum physics.

---

1969: The Year the World Changed

The final episode of Star Trek aired in 1969 — a year that changed everything.

The Beatles gave their last concert on the rooftop of Apple Records.
The Boeing 747 took its first flight.
Hundreds of thousands gathered at Woodstock.
And Neil Armstrong and Buzz Aldrin walked on the Moon.

But another, quieter event that same year would reshape the world in ways no one could imagine.

A group of engineers, funded by ARPA, linked two computers — one in Los Angeles and one in Palo Alto. They typed “LO”… and the system crashed.

An hour later, they tried again.
This time, they succeeded: “LOGIN.”
The first word ever sent across what would become the internet.

That small, failed experiment changed everything.

Today, over 5 billion people are online. 25 billion devices are connected — more devices than humans on the planet. That one crash in 1969 became the first spark of a global transformation.

---

When Failure Leads to Revolution

The internet wasn’t the only technology dismissed early on.
When the laser was first proposed, leading scientists — even Nobel laureates — called it “impractical.”
The paper was rejected by major journals.

And yet today, lasers are everywhere: in surgery, grocery scanners, communications, and even space exploration.

Innovation thrives in uncertainty.
Failure is often the first step toward transformation.

---

The Quantum Leap: Exploring Inner Space

Today, we stand at another such frontier — not in outer space, but in inner space.
The world of atoms, electrons, and photons.

At the quantum scale, nature behaves in ways that defy intuition.

In our everyday digital world, information is binary — zero or one.
But in the quantum world, information exists as a superposition — an infinite combination of zero and one.

Think of it as moving from black-and-white to full color.
A world of probabilities and entanglements — where measuring one particle can instantly affect another, even miles apart.

It sounds like science fiction.
But for the first time in history, we can create, control, and engineer quantum behavior at the human scale.

---

From Steel to Quantum: Chicago’s Bold Bet

Here in Illinois, about 50 miles south of Chicago, scientists are building quantum computers atom by atom using focused lasers.

They’re developing single-atom memories capable of storing billions of bits of data in a space smaller than a grain of sand.
Others are using quantum particles to detect disease within living cells — enabling early diagnostics far beyond what MRI can achieve.

And across the Midwest, we’re building entangled quantum networks, laying hundreds of miles of fiber to connect quantum computers and sensors — forming the backbone of a future quantum internet.

It’s happening faster than most can keep up.
As one researcher put it, “We’re driving 100 miles an hour in the fog — and building the road as we go.”

---

Quantum in Everyday Life

So how will this change your life?

Imagine airports like O’Hare.
Quantum algorithms could optimize the routing of thousands of planes and gates in real time — problems too complex for classical computers.

Quantum encryption could make our financial transactions unhackable.
Quantum sensors could safeguard pilots from GPS spoofing.
From transportation to healthcare to cybersecurity — quantum technology will touch every corner of our lives.

---

The Race for Quantum Leadership

This is a once-in-a-generation moment for Chicago — and for the world.

The U.S. passed the National Quantum Initiative Act, launching 10 national centers — four of which are based here in Illinois.
The state is investing hundreds of millions in labs and the Illinois Quantum & Microelectronics Park, transforming the old U.S. Steel site into a hub of the future.

From steel to quantum — thinking big to think small.

But this isn’t just a competition between labs or countries.
It’s about people.

Over the next decade, we’ll need more than 800,000 quantum engineers — and 70% of these roles will be filled by those with associate or undergraduate degrees.

Our community college system is our greatest asset in building this quantum workforce.
As one executive told me, “The last thing we need is more people like you.”
(He meant professors, by the way — not that I took it personally.)

---

The Final Frontier

Mark Twain once said, “History doesn’t repeat itself, but it often rhymes.”
Just like past revolutions — from the laser to the internet — global collaboration will be key.

We must attract brilliant minds, nurture them, and build together.

Because what’s happening now isn’t just the next step in science — it’s the beginning of a new era.

Quantum teleportation already allows us to transmit atomic information across miles — not people yet, but the principle is the same.

The world once imagined by Star Trek is no longer fiction.

And here in Chicago, we stand ready — engineers, dreamers, and explorers — to boldly go where no one has gone before.

---

Author’s Note:
Dr. David Awschalom is a professor of spintronics and quantum information at the University of Chicago and Director of the Chicago Quantum Exchange.

Tags: Technology,Video,

The Week AI Changed Science Forever -- Launch of AI Researcher and AI Data Scientist

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In one breathtaking week, three announcements signaled a new era for artificial intelligence — and for humanity itself.

Microsoft unveiled Kosmos, an autonomous AI scientist that works 12-hour research shifts and actually makes real scientific discoveries.
At the same time, Microsoft’s AI chief Mustafa Suleyman revealed plans for a Humanist Super Intelligence, designed not to replace humans, but to serve them.
Google quietly dropped DS Star, an autonomous data scientist that writes, tests, and fixes its own Python code.
And from across the globe, China’s Moonshot AI launched Kimi K2 Thinking, an open source reasoning model that can plan and think across hundreds of steps.

All of this — in just a few days.
Let’s unpack what it means.

---

🌌 Microsoft’s Kosmos: The AI That Actually Does Science

Meet Kosmos, the project shaking up research labs everywhere.

Backed by Microsoft Research, Kosmos is the first AI scientist that conducts research from start to finish — autonomously.
You give it a dataset and a goal (say, analyzing brain scans or studying new materials), and it goes into a 12-hour deep dive.

In that time, it:

• Reads 1,500+ research papers

• Writes ~40,000 lines of Python code

• Runs analyses and tests hypotheses

• Produces a full research report with citations and executable code

No human steering it midway — just pure autonomous science.

And the results? Stunning.
Kosmos has already made new discoveries in biology, neuroscience, and clean energy:

• It revealed how cooling protects the brain by triggering an energy-saving mode in neurons.

• It discovered that high humidity destroys perovskite solar cells during manufacturing — later confirmed by human scientists.

• It even found a shared wiring rule across species — from flies to humans — suggesting all brains might follow the same mathematical pattern.

That’s not all. Kosmos identified a heart-protecting protein (SOD2), a diabetes-resisting DNA variant, and mapped the exact moment neurons collapse in Alzheimer’s disease.

How Kosmos Works

Kosmos runs on a swarm of AI agents, each with a specific role — paper reading, data analysis, coding, and hypothesis testing — all linked by a shared World Model, a collective memory that tracks context and progress.

Think of it as a brain made of sub-brains, coordinating long, multi-step scientific investigations.

In independent reviews, 80% of Kosmos’ findings were scientifically accurate — a staggering rate for a fully autonomous system.
One 12-hour Kosmos run produced the equivalent of six months of human research output.

Still, Kosmos isn’t perfect. It struggles with messy datasets and can’t yet process files larger than 5GB. And it can’t change course mid-run — once it starts, it commits.
But the biggest challenge? Judgment. Teaching an AI to know which discoveries matter.

Even so, this marks a historic moment: AI is now conducting real, verifiable research.

---

🤝 Microsoft’s Humanist Super Intelligence

While Kosmos pushes the boundaries of AI research, Microsoft’s Mustafa Suleyman is charting a different path — toward Humanist Super Intelligence (HSI).

This isn’t about building an AGI that replaces humans.
It’s about creating a super-intelligent system that serves them.

Suleyman describes it as a bounded, values-driven AI, designed to stay contextual, controllable, and subordinate.
A kind of deeply integrated AI companion — one that helps people learn, create, and think more clearly, while remaining ethically constrained.

Microsoft’s approach contrasts sharply with OpenAI and Anthropic’s open-ended AGI ambitions.
In Suleyman’s words: “Humans matter more than AI.”

With Microsoft now legally able to develop AGI independently using OpenAI’s IP, this philosophical divide could soon define the next great AI rivalry.

---

🧠 Moonshot AI’s Kimi K2: The Reasoning Machine

Meanwhile, in China, Moonshot AI is taking open source reasoning to a new level.

Their new model, Kimi K2 Thinking, doesn’t just generate text — it thinks, plans, and executes code across hundreds of reasoning steps without human help.

It scored:

• 40.9% on Humanity’s Last Exam (expert-level interdisciplinary benchmark)

• 60.2% on BrowseComp (research and browsing tasks) — double the human average

• 71.3% on SWE Bench Verified (software engineering benchmark)

That’s not just incremental progress — it’s a leap.

In one demo, K2 solved a PhD-level hyperbolic geometry problem, performing 23 nested reasoning loops, running code, and verifying results until it derived the correct formula.

In another, it identified an actor from a vague description — parsing 20+ web sources, combining biographical clues, and assembling the answer.

This ability to reason across long horizons — chaining 300+ tool calls — represents a new frontier in AI.
Moonshot’s bet is that open source reasoning can rival (or even surpass) proprietary Western models.

---

🧩 Google’s DS Star: The Autonomous Data Scientist

Then there’s Google.

Their new system, DS Star, might quietly revolutionize enterprise analytics.
If Kosmos is an AI researcher, DS Star is an AI data scientist that turns messy real-world data into clean Python insights — all by itself.

Most AI tools require clean SQL databases. DS Star? It thrives in chaos:
CSVs, JSON logs, random spreadsheets, unstructured reports — bring it on.

You can ask it a question like:

“Which products performed best in Q3 based on sales and reviews?”

And DS Star will:

1. Find the relevant files

2. Write and test the Python code

3. Debug its own errors

4. Return the correct analysis

It uses a six-agent loop — one reads data, another plans, another codes, a verifier checks, a router fixes issues, and a finalizer packages the output.

If the code fails, it repairs itself automatically by studying the logs.

Powered by Gemini 2.5 Pro, DS Star outperforms every other data reasoning system on major benchmarks — including a 30-point leap on Dabstep, a benchmark for real-world data analysis.

Even more impressive, it’s model-agnostic — meaning the same architecture could work with GPT-5 or Claude 4.5.

In essence, AI no longer just assists the analyst — it is the analyst.

---

⚙️ The New AI Frontier: Long-Horizon Thinking

The thread connecting Kosmos, K2, and DS Star is clear:
AI systems are evolving from reactive assistants into autonomous thinkers.

They plan, code, reason, verify, and self-correct — traits once thought uniquely human.

The next frontier won’t be about larger models.
It’ll be about how long and coherently an AI can think before it loses focus — what researchers now call test-time scaling.

That’s the new battleground for AI supremacy.

---

🚀 The Takeaway

In just one week, we’ve seen:

• Microsoft prove that AI can do real science

• Google show that AI can analyze messy data autonomously

• China demonstrate that open-source reasoning can rival the world’s best

This isn’t hype anymore — it’s happening.
AI isn’t just assisting human intelligence; it’s beginning to extend it.

We’re entering the era where AI doesn’t just help the process — it is the process.

Wild times, indeed.

---

What do you think — should AI be trusted to conduct science independently?
Drop your thoughts in the comments below.

If you enjoyed this deep dive, share it — and follow for more explorations at the edge of AI and human creativity.

Addendum

What is Microsoft Kosmos?

Microsoft Kosmos (Knowledge-based Operating System for Modeling Scientific knowledge) refers to a series of multimodal large language models (MLLMs) developed by Microsoft Research and, in a related but distinct effort, an AI system developed by Edison Scientific designed for scientific research. 

Microsoft Research Kosmos Series

These models are designed to understand and process information from multiple modalities, including language, images, and potentially audio, enabling capabilities beyond traditional text-only models. 

Kosmos-1: The foundational model, introduced by Microsoft Research, can perceive images and language, perform in-context learning, reason, and generate content. It handles tasks like visual question answering (VQA), image captioning, and Optical Character Recognition (OCR)-free text processing.

Kosmos-2: Building on Kosmos-1, this model introduced the ability of multimodal grounding and referring. It can link specific text spans (like noun phrases) in a caption directly to corresponding regions (using bounding boxes) within an image, essentially creating "invisible hyperlinks" between text and pixels. This allows for more precise human-AI interaction and visual responses.

Kosmos-2.5: This version is a "multimodal literate model" specifically designed for machine reading and understanding of text-intensive images such as academic papers, receipts, and web pages. It excels at generating spatially-aware text blocks (with coordinates) and structured text in markdown format, performing on par with larger models like GPT-4o on document understanding benchmarks. 

Edison Scientific Kosmos AI System

A separate, recent development, this system is described as an "AI scientist" designed for deep scientific research workloads, not general chat. 
It operates using "structured world models" and runs hundreds of smaller AI agents in sync.
It can ingest thousands of papers and data sets to perform complex analyses, generate hypotheses, and produce traceable reports with citations and code references with high accuracy. 

Source: Gemini

Tags: Technology,Artificial Intelligence,Video,

YouTube Academy For Machine Learning

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What is Machine Learning?

1. Machine Learning Crash Course: Intro & What's New
   Google for Developers
2. What is ML?
   Google Open Online Education
   Interview Questions
3. Intro to Machine Learning (ML Zero to Hero - Part 1)
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4. Machine Learning Foundations: Ep #1 - What is ML?
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What is On-device Machine Learning?

1. Introduction to ML on Android with MediaPipe
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Supervised Machine Learning

1. Supervised Machine Learning
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Types of Machine Learning

1. Machine Learning FOR BEGINNERS - Supervised, Unsupervised and Reinforcement Learning
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2. What is Machine Learning?
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Generalization

1. Machine Learning Crash Course: Generalization
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Linear Regression

1. Unit 5: Exploring bivariate numerical data
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Supervised Learning

1. Hello World - Machine Learning Recipes #1
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Logistic Regression

1. Machine Learning Crash Course: Logistic Regression
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2. Lec-5: Logistic Regression with Simplest & Easiest Example | Machine Learning
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3. Logistic Regression Explained in Hindi
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4. Tutorial 35- Logistic Regression Indepth Intuition- Part 1| Data Science
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1. Support Vector Machines: All you need to know!
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2. Support Vector Machines (SVM) - the basics | simply explained
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3. The Kernel Trick in Support Vector Machine (SVM)
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1. Machine Learning Crash Course: Gradient Descent
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Neural Networks

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3. Gradient descent, how neural networks learn | Deep Learning Chapter 2
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4. Gradient Descent Explained
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6. Understanding Neural Networks and AI
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Machine Learning Courses

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Dos and Donts when having mouth ulcers (canker sores)

Index of Medicines

✅ DO’s

1. Maintain good oral hygiene

   • Brush gently with a soft-bristled toothbrush.

   • Use mild, non-alcoholic mouthwash or saltwater rinses (½ tsp salt in a glass of warm water, rinse 2–3 times daily).

2. Stay hydrated

   • Drink plenty of water to keep your mouth moist and help healing.

3. Eat soft, bland foods

   • Choose yogurt, soups, boiled vegetables, rice, mashed potatoes, or oatmeal.

   • Let hot food cool down before eating.

4. Use topical gels or mouth rinses

   • Over-the-counter options like benzocaine (Orajel), lidocaine, or chlorhexidine mouthwash can help numb pain and prevent infection.

5. Try home remedies

   • Honey: Dab a little on the ulcer—it’s soothing and antimicrobial.

   • Aloe vera gel: Promotes healing and reduces discomfort.

   • Coconut oil: Can reduce pain and prevent infection.

6. Manage stress

   • Stress can trigger or worsen ulcers. Try relaxation techniques like deep breathing, yoga, or short walks.

7. Identify triggers

   • Note any foods, toothpaste ingredients (like sodium lauryl sulfate), or medications that might be linked to your ulcers.

---

❌ DON’Ts

1. Avoid spicy, acidic, or salty foods

   • Foods like pickles, citrus fruits, tomatoes, chips, or chili can sting and delay healing.

2. Don’t consume very hot beverages

   • Allow tea, coffee, or soup to cool before drinking.

3. Avoid hard or crunchy foods

   • Crackers, toast, nuts, or chips can scrape or irritate the ulcer.

4. Don’t touch or poke the ulcer

   • It can worsen the pain, introduce bacteria, and slow healing.

5. Avoid alcohol and tobacco

   • Both irritate the mouth lining and delay recovery.

6. Don’t skip meals

   • Even if it’s painful, eat soft foods to maintain nutrition.

7. Don’t ignore persistent ulcers

   • If ulcers last more than 2 weeks, are unusually large, or keep recurring, see a dentist or doctor.

   • Persistent ulcers may indicate nutritional deficiencies (like vitamin B12, folate, or iron) or other underlying issues.

Advice from ChatGPT 5 Tags: Medicine,

Model Alert... Alibaba-backed Moonshot releases its second AI update in four months as China's AI race heats up (Nov 2025)

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• Beijing-based startup Moonshot released a new AI model Thursday just four months after its prior update.
• Major U.S. companies such as Airbnb have begun to publicly tout how some Chinese AI models as viable — and often cheaper — alternatives to OpenAI’s.
• The new Kimi AI model cost $4.6 million to train, according to a source familiar with the matter.

Chinese startup Moonshot on Thursday released its latest generative artificial intelligence model which claims to beat OpenAI’s ChatGPT in “agentic” capabilities — or understanding what a user wants without explicit step-by-step instructions.

The model, called “Kimi K2 Thinking,” builds on the K2 model released in July by Beijing-based Moonshot, which is backed by Alibaba.

The update comes as Nvidia CEO Jensen Huang this week again urged the U.S. to press ahead in a race against Chinese-developed AI. Some major U.S. companies such as Airbnb have begun to publicly tout how some Chinese AI models are as viable — and often cheaper — alternatives to OpenAI’s.

Despite U.S. restrictions on Chinese businesses’ access to high-end chips, companies such as DeepSeek have released AI models that are open sourced and with user fees a fraction of ChatGPT’s.

DeepSeek also claimed it spent $5.6 million for its V3 model — in contrast to the billions spent by OpenAI.

The Kimi K2 Thinking model cost $4.6 million to train, according to a source familiar with the matter.

It can automatically select 200 to 300 tools to complete tasks on its own, reducing the need for human intervention according to Moonshot. CNBC was unable to independently verify the DeepSeek or Kimi figures.
DeepSeek last month released a new AI model that claims to improve performance by using visual clues to expand the context of information it is processing at once.

Tags: Technology,Artificial Intelligence,Large Language Models,