Mack

This is what Tesla Autopilot see▶️ #Analytics #AI #Rstats #Reactjs #MachineLearning #BigData #DataScience #Linux #Serverless #SelfDrivingCars #IoT #IIoT #flutter #DevCommunity #WomenWhoCode #SmartCity #EmergingTech #AutonomousVehicles #100DaysOfCode

VAGEN (VLM Agent Training with World Model Reasoning) : A framework that explicitly teaches VLM agents to build and maintain internal world models through reinforcement learning By encouraging agents to actively estimate the current state and predict future transitions, this 3B parameter model achieves state-of-the-art results across diverse visual tasks ▶️ #AI #VLM #Stanford ai.stanford.edu/blog/vagen/

SAM 3.1 : As a drop-in replacement for SAM 3, the updated model delivers a significant boost in video processing efficiency by introducing object multiplexing, which allows the model to track up to 16 objects in a single forward pass This innovation doubles the processing speed for videos with a medium number of objects, increasing throughput from 16 to 32 frames per second on a single H100 GPU As a result, SAM 3.1 enables real-time object tracking in complex videos while reducing overall GPU resource ▶️ #AI #SAM #Meta ai.meta.com/blog/segment-a…

A new study suggests small quantum computers could process massive datasets more efficiently than exponentially larger classical systems by reducing memory requirements for key data tasks The researchers report that techniques such as quantum oracle sketching enable quantum systems to perform classification, dimension reduction and linear system solving using far fewer resources The findings are based on simulations and theoretical proofs, with practical impact dependent on future advances in quantum hardware, error correction and real-world validation ▶️ #AI #QuantumComputing thequantuminsider.com/2026/04/10/stu…

Researchers from Netflix and collaborators have developed VOID (video object and interaction deletion), a new AI framework that doesn't just remove items from a scene, but also rewrites the physical consequences of their absence It follows a 3 step process to help it reason through a scene First, it identifies any area that might be affected by the change Then it creates a specialized map called a quadmask where shadows should disappear or where objects may move differentlypll Then it generates a new version of the video that accounts for all these changes Finally, it makes a second pass of the scene to refine motion and ensure that objects do not warp or lose their shape as they move along different paths ▶️ #AI #MachineLearning techxplore.com/news/2026-04-a…

Earth AI vision : S2Vec, a self-supervised framework designed to learn general-purpose embeddings of the built environment S2Vec allows AI to understand the character of a neighborhood much like a human does, recognizing patterns in how gas stations, parks, and housing are distributed, and using that knowledge to predict metrics that matter, from population density to environmental impact S2Vec analyzes them using masked autoencoding (MAE), a robust self-supervised learning technique▶️ #AI #SmartCity #google research.google/blog/mapping-t…

"Aradhana' फिल्म के गाने "मेरे सपनों की रानी" में Tom Cruise, Brad Pitt और Julia Roberts को देखना... बहुत मजेदार है। AI का ये अंदाज़ वाकई गज़ब है!"

@reson8Labs Brilliant article for topological quantum circuit and error detection. Thanks for sharing 👍

@Analytics_699 x.com/reson8Labs/sta… youtu.be/u7PJQo7MK9k

@InternOcto GPU usage can be less then FPGA could be an alternative

@Analytics_699 if this actually lands then the whole scaling narrative flips from “more GPUs” to “less memory but quantum magic” and i’m not ready for that career pivot yet 😭

@moneymasternw Correct. Though it sounds strange it truly does as " AI velocity paradox " is often a bottleneck ..thanks

@Analytics_699 Hitting the wall. Canadian fintech: are your pipelines choking on AI agent velocity?

Enterprise dev teams are about to hit a wall and CI pipelines can’t save them AI agents speed up coding, but slow CI pipelines create a validation bottleneck : how Kubernetes sandboxes solve this dev crisis ▶️ #AI #Cloud #AIagents thenewstack.io/ai-agent-valid…

@CRudinschi Fraud detection in financial transaction Or dimension reduction in Data modeling and a few like these

@Analytics_699 Observing this, small quantum sketching can trim memory needs while accelerating key analytics at scale. What real-world use case should we test first?

@moneymasternw True but once the datasets will be diverse we can get to know more precise error correction; its great to start with at this point, thanks

@Analytics_699 Leaving this here ... Multihead attention spotting 0.2% atomic defects. This precision in pattern recognition reshapes fintech risk modeling.

MIT built an AI model capable of classifying and quantifying certain defects using data from a noninvasive neutron-scattering technique The model, which was trained on 2,000 different semiconductor materials, can detect up to six kinds of point defects in a material simultaneously, something that would be impossible using conventional techniques alone ▶️ #AI #neutron news.mit.edu/2026/mit-resea…

@enilev Its truly massive breakthrough Dear Eveline @enilev something We have never heard of in realm of quantum computing Thank you and have a great weekend ahead 🙏

@Analytics_699 What a great post, Dear Mack @Analytics_699 👏 Small quantum computer 👉 massive data sets more efficiently … 👏👏🙏 #HappyFriday 🔆⭐️

@sir4K_zen Definitely but more real world cases need to be validated before put in Mass operations

@Analytics_699 Nice work, awaiting hardware validation and real world tests

The Waymo World Model is built upon Genie 3 : Google DeepMind's most advanced general-purpose world model that generates photorealistic and interactive 3D environments and is adapted for the rigors of the driving domain. By leveraging Genie’s immense world knowledge, it can simulate exceedingly rare events—from a tornado to a casual encounter with an elephant—that are almost impossible to capture at scale in reality ▶️ #AI #SelfDrivingCars waymo.com/blog/2026/02/t…

Using high-field functional magnetic resonance imaging (fMRI) and measuring time perception the researchers shed light on what happens in the 🧠 when we estimate the duration of a visual stimulus Results show that time perception is not a unitary process, but the outcome of multiple processing stages distributed across the cerebral cortex Each stage contributes differently, from encoding physical duration to constructing the subjective experience of time ▶️ #AI #NeuroScience Cc: @enilev medicalxpress.com/news/2026-04-h…

📌45 AI Keywords defined ▶️

Bio-inspired robotic "muscles" that will enable robots to operate in boiling water, survive abrasive surfaces, bypass impediments that keep their motorized counterparts benched, and still lift up to 100 times their own weight1 ( Arizona SU ) Helical anisotropically reinforced polymer (HARP) actuators, mimic natural muscle contraction and expansion. These actuators are flexible, very lightweight, and quiet for use in soft robotics ▶️ #AI #Robotics techxplore.com/news/2026-04-a…