S_its_nishanth

Engineer @ISRO.

[BANDLA GANESH. @ganeshbandla]

నీకెందుకురా ప్రతి దాంట్లో వేలుపెట్టడం? అసలు నువ్వెవడివి? తమిళోడివా, తెలుగోడివా, కన్నడోడివా? నీ ఊరు ఏది, నీ కథ ఏంటి? ప్రతి ఊర్లో, ప్రతి ఇష్యూలో దూరి జడ్జిమెంట్‌లు ఇవ్వడానికి నువ్వేమైనా కలెక్టర్‌వా లేక దేశ ప్రధాని వా? ఎక్కడ చూసినా నువ్వే, ఏ విషయం వచ్చినా నువ్వే. నీ బతుక్కి పని లేకపోతే చూసుకో, కానీ అందరి విషయాల్లో దూరి హీరోలా ఫీలవ్వకు. ముందు నీ అడ్రస్ నువ్వు తెలుసుకో, తర్వాత ప్రపంచాన్ని మార్చే ప్రయత్నం చేయ్!”

[Dmitrii Kovanikov @ChShersh]

Strong men create C++
C++ creates good times
Good times create weak men
Weak men create Python
Python creates hard times
Hard times create strong men

[Ronald van Loon @Ronald_vanLoon]

Tri-Mode Freedom: A Modular 3-in-1 Electric Scooter, Walker and Smart Cargo #Robot for Elderly Mobility
by @tweetciiiim

#EmergingTech #Automation #Automotive #Transport

[Dr Jitendra Singh @DrJitendraSingh]

A backpack-sized jet engine — proudly developed in India 🇮🇳

A scientist from @CSIRNALOFFICIAL unveils the NJ100, an indigenous small turbojet engine generating 100 kgf thrust for #UAVs, drone interceptors, and compact cruise-missile class platforms.

A strong step forward for #AtmanirbharBharat, strengthening India’s capabilities in advanced #Aerospace propulsion and unmanned technologies.

[Rajdeep Sardesai @sardesairajdeep]

Sunday humour ahead of the final:

Axar Patel (nicknamed Bapu), is truly the father of the nation.

- He caught Salt.
- He helped bring down the Union "Jacks".
- He defeated the English non violently.
- It's largely due to him that the English are leaving the country.
- He was thrown out of the team (train) while playing (working in) South Africa, and returned with a vengeance to liberate india. 😀😛

[Brian Roemmele @BrianRoemmele]

BOOM! MAJOR AI SPEEDUP!

Hot Rod AI 100 times faster inference 100,000 times less power!

—

Reviving Analog Circuits: A Leap Toward Ultra-Efficient AI with In-Memory Attention

I got my start in analog electronics when I was a kid and always thought analog computers would make a comeback. Analog computing of the 1960s neural networks used voltage-based circuits rather than binary clocks.

Analog is Faster Than Digital

Large language models at their core lies the transformer architecture, where self-attention mechanisms sift through vast sequences of data to predict the next word or token.

On conventional GPUs, shuttling data between memory caches and processing units devours time and energy, bottlenecking the entire system. They require a clock cycle to precisely move bits in and out of memory and registers and this is >90% of the time and energy overhead.

But now a groundbreaking study proposes a custom in-memory computing setup that could slash these inefficiencies, potentially reshaping how we deploy generative AI.

The innovation centers on "gain cells"—emerging charge-based analog memories that double as both storage and computation engines.

Unlike digital GPUs, which laboriously load token projections from cache into SRAM for each generation step, this architecture keeps data where the math happens: right ON THE CHIP! With a clock speed near the THE SPEED OF LIGHT because it is never on/off like in digital binary.

By leveraging parallel analog dot-product operations, the design computes self-attention natively, sidestepping the data movement that plagues GPU hardware.

To bridge the gap between ideal digital models and the noisy realities of analog circuits, the researchers devised a clever initialization algorithm.

This method adapts pre-trained LLMs, such as GPT-2, without the need for full retraining, ensuring seamless performance parity despite non-idealities like voltage drifts or precision limits.

The results are nothing short of staggering!

Simulations show the system slashing attention latency to 100 times faster inference for token generation—while curbing energy use by a jaw-dropping five orders of magnitude, or 100,000 times less power-hungry than GPU baselines. For context, this could mean running a full LLM on a device no larger than a a card deck, without any thermal throttling or grid-straining demands of today's data centers.

The approach targets the attention block specifically, the transformer’s energy hog, but slso broader integration with other in-memory techniques to turbocharge the entire model pipeline.

Analog tech isn't pie-in-the-sky quantum wizardry; it's grounded in ancient mature electronics theory, with gain cells already prototyped in labs.

The only engineering issue, and it is simple: tolerances for noise, scaling arrays of cells, and fabricating at microchip densities. Existing CMOS processes tweaks for analog fidelity. From there, Full ecosystem integration, including software stacks for model adaptation, could happen in a year, disrupting GPU dominance sooner than skeptics predict.

Risks are low but hybrid digital-analog interfaces could introduce unforeseen bugs. However this can be rapidly iterated and addressed.

This isn't just hardware tinkering; it's a philosophical pivot back to AI's analog origins, where computation flows continuously rather than ticking in discrete cycles.

This in-memory attention could democratize AI power, making low power, lightning-fast AI not a luxury, but an inevitability to even the smallest devices.

Most have no idea how big this is: It is the biggest shift in AI since the invention of LLMs.

The world will struggle to find true experienced analog engineers, most are gone.

In my garage I will have a test Analog CMOS Gain Cells using off the self parts in the next few days, if Radio Shack was still around I would have have done today. I suspect I can scale to a proto AI model in a few weeks.

PAPER:

https://t.co/MrM8BmLiFO

[S_its_nishanth @NishanthIts]

@IndianTechGuide “XYZ-IIT” .
Taught by top IIT professors.
Package _ to _ .
AI/ML
……..
Biggest scam nowdays.

[Trendulkar @Trendulkar]

India is growing at just 7.4%. Maybe it should park the GDP in a Fixed Deposit for 9% returns. This is why financial literacy matters. Follow me for more top-tier financial advice.

[Indian Tech & Infra @IndianTechGuide]

🚨 All Sharia courts, including entities referred to as "Kazi courts", "Darul Qaza", or "Kaziayat courts", hold no legal status under Indian law: Supreme Court of India.

[S_its_nishanth @NishanthIts]

Chennai auto drivers are the most rudest. For them every non-Tamilian is a North Indian. Drivers often seen drunken and misbehave with passengers. They scam you, charge you more over ola and Uber price and abuse you. Always have one local person with you
#chennai

[S_its_nishanth @NishanthIts]

Blood groups of typical Hyderabadis .
Nimrah chai
Pista house chai
Paradise chai
Niloufer chai
Blue sea chai.
#Hyderabad #Tea

[S_its_nishanth @NishanthIts]

My motivation for fasting during kartika masam. #karthikamasam #Veg

[S_its_nishanth @NishanthIts]

Cinema that attracts tourism : Emily In Paris
Cinema that disturbs tourism : Slum dog millionaire
#EmilyInParis #Slumtourism

[S_its_nishanth @NishanthIts]

Customer: My OLA bike isn’t running well.
Ola service team: Chot lagi? Dard hua? Aaja service center. Bahut kaam hai.
#OlaElectric #Ola #BhavishAggarwal

[S_its_nishanth @NishanthIts]

How many hours for improving the product quality?.
#OlaElectric

[S_its_nishanth @NishanthIts]

In Hyderabad, many small restaurants serve better authentic Telugu food than the gimmick restaurants with fancy Telugu names. #Hyderabad #food

[S_its_nishanth @NishanthIts]

Meanwhile in parallel India..
#workculture #EYIndia #depression

[Lancelot Pinto @lancelot_pinto]

Montelukast is widely prescribed in India, and sales appear to be rising. This is despite several reported adverse effects, including nightmares, depression, death by suicide. Sanjitha Muneeswaran and I make a case for stricter regulations @the_hindu 1/n

[S_its_nishanth @NishanthIts]

#SARIPODHAASANIVAARAM Most Erri…cinema in recent time.