Newton School 🚀

Helping your Data Science & AI dreams take off! 🚀

[Newton School 🚀 @NewtonSchoolHQ]

Ahead of #UnionBudget2026, @PTI_News highlighted our co-founder @nishantXchandra views on why execution-led funding modern labs, shared compute infra, and internship-linked incentives matters as enrolment grows faster than employability

[Press Trust of India @PTI_News]

VIDEO | Union Budget 2026: Education sector seeks targeted funding for modern labs, shared compute infra, internship-linked incentives in Budget.

Ahead of the Union Budget for financial year 2026–27, the education sector is calling for a shift from policy announcements to execution, with targeted funding for modern laboratories, shared compute infrastructure and internship-linked incentives to improve graduate employability.

Nishant Chandra, co-founder of Newton School, said these measures are critical as higher education enrolment expands rapidly but job readiness among graduates remains uneven.

“India’s higher education enrollment has crossed 4.3 crores and gross enrollment ratio is at 28.4 per cent, but employability across graduates still sits only at 50 to 55 per cent,” Chandra said, adding that this gap becomes more serious as India moves towards a target enrolment ratio of 50 per cent.

#UnionBudget

(Full video available on PTI Videos - https://t.co/bIyFWTfmBd)

[Newton School 🚀 @NewtonSchoolHQ]

Imagine uncovering lost works, reconstructing forgotten languages, and piecing together untold histories. AI is not just about the future, it’s rewriting the past.

[Newton School 🚀 @NewtonSchoolHQ]

AI is revolutionising our understanding of ancient texts! From Herculaneum's charred scrolls to India's Sanskrit manuscripts, here's how technology is unlocking humanity's past.

[Newton School 🚀 @NewtonSchoolHQ]

Challenges persist: India’s linguistic diversity and under-resourced scripts require tailored AI models. But progress is ongoing!

[Newton School 🚀 @NewtonSchoolHQ]

Does generative AI cause this shift?

Yes. AI’s ability to analyse user behaviour and predict content preferences has made manual tagging (like hashtags) less relevant.

Generative AI is reshaping how platforms deliver personalised content.

[Newton School 🚀 @NewtonSchoolHQ]

Elon Musk has confirmed that hashtags are no longer prioritized in X's algorithm. He labelled them unnecessary and even unattractive.

[Newton School 🚀 @NewtonSchoolHQ]

What does this mean for other social media platforms?

Platforms like Instagram and TikTok already rely less on hashtags, favouring algorithmic personalisation.

Twitter’s move may push others further away from hashtag dependency.

[Newton School 🚀 @NewtonSchoolHQ]

Curious about the future implications?

@sundarpichai weighs in on this breakthrough. Check out his take: https://t.co/6Gvtr9Vw8R

#gemini #googlegemini #TrendingNow #Gemini20

[Sundar Pichai @sundarpichai]

We’re kicking off the start of our Gemini 2.0 era with Gemini 2.0 Flash, which outperforms 1.5 Pro on key benchmarks at 2X speed (see chart below). I’m especially excited to see the fast progress on coding, with more to come. 

Developers can try an experimental version in AI Studio and Vertex AI today. It is also available to try in @GeminiApp on the web today, mobile coming soon.

[Newton School 🚀 @NewtonSchoolHQ]

🚨 Google’s Gemini 2.0 Flash sets a new gold standard in AI performance!

With groundbreaking results in SWE-bench Verified, it now leads the pack in generating accurate, production-level solutions.

Here's the breakdown and why it matters. 🧵
#gemini #googlegemini #trending

[Newton School 🚀 @NewtonSchoolHQ]

Google is clearly leading the charge toward AI models capable of tackling complex coding tasks autonomously.

This step isn’t just incremental—it’s transformational for software engineering.

#gemini #googlegemini #TrendingNow #Gemini20