brainmatics (@brainmatics) 's Twitter Profile
brainmatics

@brainmatics

ID: 229852080

calendar_today23-12-2010 14:15:50

12,12K Tweet

232 Takipçi

5,5K Takip Edilen

Finesse Attire (@finesse_attire) 's Twitter Profile Photo

🥶 Say goodbye to freezing hands. Water and windproof. Great for use with touch screen devices. Get it now: finesseattire.co/winter-gloves

Caglar (@caglar_ee) 's Twitter Profile Photo

Video lectures, Alberta UofA CMPUT 267 Machine Learning I fall 2025, by Vlad Tkachuk vladtkachuk4.github.io/machinelearnin… youtube.com/playlist?list=… .

Zhenjun Zhao (@zhenjun_zhao) 's Twitter Profile Photo

EVolSplat4D: Efficient Volume-based Gaussian Splatting for 4D Urban Scene Synthesis Sheng Miao, Sijin Li, Pan Wang, Dongfeng Bai, Bingbing Liu, Yue Wang, Andreas Geiger, Yiyi Liao tl;dr: EVolSplat journal version->dynamic scene arxiv.org/abs/2601.15951

EVolSplat4D: Efficient Volume-based Gaussian Splatting for 4D Urban Scene Synthesis

Sheng Miao, Sijin Li, Pan Wang, Dongfeng Bai, Bingbing Liu, Yue Wang, Andreas Geiger, <a href="/yiyi_liao_/">Yiyi Liao</a>

tl;dr: EVolSplat journal version-&gt;dynamic scene

arxiv.org/abs/2601.15951
Lior⚡ (@lioronai) 's Twitter Profile Photo

Stop predicting words one by one. A new paper just broke the next-token rule every LLM follows. It cuts generation steps by 4× and training compute by 44%. 𝗡𝗲𝘅𝘁-𝘁𝗼𝗸𝗲𝗻 𝗽𝗿𝗲𝗱𝗶𝗰𝘁𝗶𝗼𝗻 𝗶𝘀 𝘁𝗵𝗲 𝗯𝗼𝘁𝘁𝗹𝗲𝗻𝗲𝗰𝗸 CALM replaces word-by-word guessing with

Stop predicting words one by one.

A new paper just broke the next-token rule every LLM follows.

It cuts generation steps by 4× and training compute by 44%.

𝗡𝗲𝘅𝘁-𝘁𝗼𝗸𝗲𝗻 𝗽𝗿𝗲𝗱𝗶𝗰𝘁𝗶𝗼𝗻 𝗶𝘀 𝘁𝗵𝗲 𝗯𝗼𝘁𝘁𝗹𝗲𝗻𝗲𝗰𝗸
CALM replaces word-by-word guessing with
Darshil | Data Engineer👨🏻‍🔧 (@parmardarshil07) 's Twitter Profile Photo

Data Engineering Course with 20+ End-to-End Projects! What started as a few courses has now turned into a complete Data Engineering ecosystem. Today, our Data Engineering Course includes 20+ end-to-end projects and covers pretty much everything you need to crack interviews and

Data Engineering Course with 20+ End-to-End Projects!

What started as a few courses has now turned into a complete Data Engineering ecosystem.

Today, our Data Engineering Course includes 20+ end-to-end projects and covers pretty much everything you need to crack interviews and
𝗿𝗮𝗺𝗮𝗸𝗿𝘂𝘀𝗵𝗻𝗮— 𝗲/𝗮𝗰𝗰 (@techwith_ram) 's Twitter Profile Photo

AI / ML Engineer in 2026, please learn: One ML stack deeply:- PyTorch or JAX, not just .fit(), but GPU memory, kernels, mixed precision, profiling, and why your model OOMs at 3am. Data:- Where it comes from, how it lies, how it drifts, how labels break, how leakage sneaks in,

Rohan Paul (@rohanpaul_ai) 's Twitter Profile Photo

Logical Intelligence introduces first energy-based reasoning AI Model, and brings Yann LeCun to leadership as founding chair of their Technical Research Board The 6-month-old Silicon Valley start-up, unveiled an “energy based” model called Kona and says it is more accurate and

Logical Intelligence introduces first energy-based reasoning AI Model, and brings Yann LeCun to leadership as founding chair of their Technical Research Board

The 6-month-old Silicon Valley start-up, unveiled an “energy based” model called Kona and says it is more accurate and
FAR.AI (@farairesearch) 's Twitter Profile Photo

FAR.AI is hiring engineers and scientists! Join one of our teams: - Deception - stress-test and train against lie detectors - Integrity - red-team frontier models and write evals for new threats - Foundations - develop infrastructure for scalable ML workflows NEW

FAR.AI is hiring engineers and scientists! Join one of our teams:
- Deception - stress-test and train against lie detectors
- Integrity - red-team frontier models and write evals for new threats
- Foundations - develop infrastructure for scalable ML workflows
NEW
Pau Labarta Bajo (@paulabartabajo_) 's Twitter Profile Photo

A minimal Python CLI that helps you find and book plane tickets using tool calling and reasoning to solve multi-step workflows. Enjoy ↓ github.com/Liquid4All/coo…

Caglar (@caglar_ee) 's Twitter Profile Photo

I would start with Video lectures, Stanford EE364A Convex Optimization I autumn 2023, by Stephen Boyd web.stanford.edu/class/ee364a/i… youtube.com/playlist?list=… .

Kirk Borne (@kirkdborne) 's Twitter Profile Photo

Classic text on Outlier Detection in Temporal Data: amzn.to/2NZ64cQ ... including financial, business, medical, credit, sensor network (IoT / IIoT) time series data streams, plus spatiotemporal data, network data, ...

Classic text on Outlier Detection in Temporal Data: amzn.to/2NZ64cQ 

... including financial, business, medical, credit, sensor network (IoT / IIoT) time series data streams, plus spatiotemporal data, network data, ...
Shane Gu (@shaneguml) 's Twitter Profile Photo

If you are interested in building an AI Scientist, I strongly encourage you to apply to Google DeepMind. While vibe coding and papering a demo is easy, creating a true AI Scientist requires decades of rigorous science and engineering and a large team of great culture—it is a

If you are interested in building an AI Scientist, I strongly encourage you to apply to Google DeepMind. While vibe coding and papering a demo is easy, creating a true AI Scientist requires decades of rigorous science and engineering and a large team of great culture—it is a
TuringPost (@theturingpost) 's Twitter Profile Photo

An open-source memory layer for AI agents – MemOS It gives agents a real memory operating system, where knowledge is structured, editable, and evolves over time, not disappearing into a black-box embedding store. MemOS enables: - Unified Memory API for adding, retrieving,

An open-source memory layer for AI agents – MemOS

It gives agents a real memory operating system, where knowledge is structured, editable, and evolves over time, not disappearing into a black-box embedding store.

MemOS enables:

- Unified Memory API for adding, retrieving,
Hasan Toor ✪ (@hasantoxr) 's Twitter Profile Photo

HOLY SHIT… GAMMA JUST SHOCKED THE $200B DESIGN INDUSTRY WITH ONE FREE TOOL. They just dropped Nano Banana Pro for FREE and it does what took me 6 hours in 60 seconds. I got this 25-slide Stardew Valley style PPT in just one shot and the results blew my mind.

Valeriy M., PhD, MBA, CQF (@predict_addict) 's Twitter Profile Photo

Move over Buffon. Step aside Feller. Romanovsky flipped the coin 🪙 80,640(!) times — because Markov taught him not to trust words. Long before Monte Carlo simulations and “it converges eventually” hand-waving, probability was tested the hard way: by actually throwing the coin.

Move over Buffon. Step aside Feller.

Romanovsky flipped the coin 🪙 80,640(!) times — because Markov taught him not to trust words.

Long before Monte Carlo simulations and “it converges eventually” hand-waving, probability was tested the hard way: by actually throwing the coin.