Google Project Astra x Physics ⚡️

Analytics Vidhya · Intermediate ·🖌️ UI/UX Design ·1y ago

Key Takeaways

Google Project Astra demonstrates multimodal AI vision capability

Full Transcript

try to guess this famous figure that's a fun drawing is it Albert Einstein yeah what did he do around this time in 1905 Albert Einstein published his groundbreaking theory of special relativity do you want another hint for your drawing does this remind you of any of his work yes that drawing reminds me of his photo electric effect paper which also won him the Nobel Prize in 1921 okay do you know who this is is this a new famous figure this makes me think of gravity and Isaac Newton did he share anything with that first guy I showed you both Isaac Newton and Albert Einstein were physicists who revolutionized our understanding of the universe thanks Gemini

Original Description

Google DeepMind cutting edge multimodal AI vision capability demonstration. Project Astra identifies Albert Einstein & Issac Newton, and their accomplishments after seeing only a few sketches. Project Astra is a prototype that explores the future of AI assistants. Building on Gemini models, DeepMind developed AI agents that can quickly process multimodal information, reason about the context you’re in, and respond to questions at a conversational pace. Watch full demo on @googledeepmind channel 🔗 https://www.youtube.com/watch?v=hLTqQQ71TVw #ai #ainews #google #deepmind #googledeepmind #projectastra #gemini
Watch on YouTube ↗ (saves to browser)
Sign in to unlock AI tutor explanation · ⚡30

Playlist

Uploads from Analytics Vidhya · Analytics Vidhya · 0 of 60

← Previous Next →
1 The DataHour: Data Science in Retail
The DataHour: Data Science in Retail
Analytics Vidhya
2 The DataHour: Anomaly detection using NLP and Predictive Modeling
The DataHour: Anomaly detection using NLP and Predictive Modeling
Analytics Vidhya
3 The DataHour: Energy Data Science Project from Scratch
The DataHour: Energy Data Science Project from Scratch
Analytics Vidhya
4 The DataHour: Explainable AI Need and Implementation
The DataHour: Explainable AI Need and Implementation
Analytics Vidhya
5 The DataHour: Google Cloud AI/ML
The DataHour: Google Cloud AI/ML
Analytics Vidhya
6 Prediction to Production in Machine Learning #machinelearning #prediction
Prediction to Production in Machine Learning #machinelearning #prediction
Analytics Vidhya
7 Practical Applications of Data science in Ecommerce
Practical Applications of Data science in Ecommerce
Analytics Vidhya
8 How to tackle Overfitting?#machinelearning #overfitting
How to tackle Overfitting?#machinelearning #overfitting
Analytics Vidhya
9 Building Data Pipelines on GCP #googlecloud #datapipelines #data
Building Data Pipelines on GCP #googlecloud #datapipelines #data
Analytics Vidhya
10 Hands-on with A/B Testing #abtesting #datascience
Hands-on with A/B Testing #abtesting #datascience
Analytics Vidhya
11 Efficient Implementations of Transformers #transformers #cnn  #machinelearning
Efficient Implementations of Transformers #transformers #cnn #machinelearning
Analytics Vidhya
12 Modern Deep Learning Architecture #deeplearning  #architecture #deeplearningtutorial
Modern Deep Learning Architecture #deeplearning #architecture #deeplearningtutorial
Analytics Vidhya
13 Key steps for Designing Artificial Neural Network (ANN) for Image classification #machinelearning
Key steps for Designing Artificial Neural Network (ANN) for Image classification #machinelearning
Analytics Vidhya
14 5 things you should know about Azure SQL #azure #sql #datahour #datascience
5 things you should know about Azure SQL #azure #sql #datahour #datascience
Analytics Vidhya
15 AI & ML in the Automotive Industry #machinelearning #ai
AI & ML in the Automotive Industry #machinelearning #ai
Analytics Vidhya
16 Building Machine Learning Models in BigQuery
Building Machine Learning Models in BigQuery
Analytics Vidhya
17 NLP aspects in Telecommunication Industry
NLP aspects in Telecommunication Industry
Analytics Vidhya
18 Practical Time Series Analysis
Practical Time Series Analysis
Analytics Vidhya
19 Fundamentals of Quantum Computing
Fundamentals of Quantum Computing
Analytics Vidhya
20 A DAY IN THE LIFE of a Data Scientist (From waking up to working on algorithms)
A DAY IN THE LIFE of a Data Scientist (From waking up to working on algorithms)
Analytics Vidhya
21 Classification Machine Learning Model from Scratch
Classification Machine Learning Model from Scratch
Analytics Vidhya
22 Knowledge Graph Solutions using Neo4j
Knowledge Graph Solutions using Neo4j
Analytics Vidhya
23 Model Guesstimation (MLOps)
Model Guesstimation (MLOps)
Analytics Vidhya
24 ETL Pipelines in Google Cloud Platform
ETL Pipelines in Google Cloud Platform
Analytics Vidhya
25 Key steps for Designing Convolutional Neural Network(CNN) for Image Classification
Key steps for Designing Convolutional Neural Network(CNN) for Image Classification
Analytics Vidhya
26 Getting Started with AWS EC2 #amazon #aws
Getting Started with AWS EC2 #amazon #aws
Analytics Vidhya
27 How to Use Azure NLP and Graph Databases for Intelligent Knowledge Mining
How to Use Azure NLP and Graph Databases for Intelligent Knowledge Mining
Analytics Vidhya
28 Certified AI & ML BlackBelt Plus Program #shorts
Certified AI & ML BlackBelt Plus Program #shorts
Analytics Vidhya
29 Visualizing Data using Python #machinelearning #visualization #python
Visualizing Data using Python #machinelearning #visualization #python
Analytics Vidhya
30 DCNN for Machine RUL Prediction using Time-series Data #timeseries #machinelearning #datascience
DCNN for Machine RUL Prediction using Time-series Data #timeseries #machinelearning #datascience
Analytics Vidhya
31 M in ML stands for Math & Magic
M in ML stands for Math & Magic
Analytics Vidhya
32 An Unsupervised ML approach using Clustering
An Unsupervised ML approach using Clustering
Analytics Vidhya
33 Customizing Large Language Models GPT3 for Real-life Use Cases #gpt3 #datascience
Customizing Large Language Models GPT3 for Real-life Use Cases #gpt3 #datascience
Analytics Vidhya
34 Model Parameters vs Hyperparameters - Techniques in ML Engineering #machinelearning
Model Parameters vs Hyperparameters - Techniques in ML Engineering #machinelearning
Analytics Vidhya
35 Practical MLOps #mlops #datascience
Practical MLOps #mlops #datascience
Analytics Vidhya
36 Data Engineering with Databricks #dataengineering #databricks
Data Engineering with Databricks #dataengineering #databricks
Analytics Vidhya
37 Multi-Objective Optimisation
Multi-Objective Optimisation
Analytics Vidhya
38 When Airflow Meets Kubernetes
When Airflow Meets Kubernetes
Analytics Vidhya
39 AI in Banking
AI in Banking
Analytics Vidhya
40 Learn Convolutional Neural Network for Image Recognition
Learn Convolutional Neural Network for Image Recognition
Analytics Vidhya
41 Extracting Value from Data
Extracting Value from Data
Analytics Vidhya
42 How to measure Marketing Channel Effectiveness
How to measure Marketing Channel Effectiveness
Analytics Vidhya
43 Transforming Lives | Data Science Immersive Bootcamp
Transforming Lives | Data Science Immersive Bootcamp
Analytics Vidhya
44 Stock Market Analysis - AI driven approach
Stock Market Analysis - AI driven approach
Analytics Vidhya
45 Become a Data Engineering Professional in 2022 | Future Trends + Skills Required
Become a Data Engineering Professional in 2022 | Future Trends + Skills Required
Analytics Vidhya
46 Ensemble Techniques in Machine Learning #machinelearning #ensemble #datascience
Ensemble Techniques in Machine Learning #machinelearning #ensemble #datascience
Analytics Vidhya
47 The Power of Visualization | Tableau Full Course | Analytics Vidhya
The Power of Visualization | Tableau Full Course | Analytics Vidhya
Analytics Vidhya
48 Demand for Data Engineers is on the Rise | Data Engineer | Analytics Vidhya
Demand for Data Engineers is on the Rise | Data Engineer | Analytics Vidhya
Analytics Vidhya
49 Data Visualization in Data Science | DataHour | Analytics Vidhya
Data Visualization in Data Science | DataHour | Analytics Vidhya
Analytics Vidhya
50 Role of Optimization in Machine Learning & Deep Learning | DataHour | Analytics Vidhya
Role of Optimization in Machine Learning & Deep Learning | DataHour | Analytics Vidhya
Analytics Vidhya
51 Solving any Machine Learning Problem | Approach and Steps Involved
Solving any Machine Learning Problem | Approach and Steps Involved
Analytics Vidhya
52 Topic Modeling Explained with Implementation | Using LDA in Python | DataHour by Arpendu Ganguly
Topic Modeling Explained with Implementation | Using LDA in Python | DataHour by Arpendu Ganguly
Analytics Vidhya
53 Data Engineering in E-Commerce | The Best Case Study
Data Engineering in E-Commerce | The Best Case Study
Analytics Vidhya
54 Introduction to Classification using Azure Machine Learning | DataHour | Analytics Vidhya
Introduction to Classification using Azure Machine Learning | DataHour | Analytics Vidhya
Analytics Vidhya
55 Introduction to Federated Learning | DataHour | Analytics Vidhya
Introduction to Federated Learning | DataHour | Analytics Vidhya
Analytics Vidhya
56 Diffusion Models for Generative Arts | DataHour | Analytics Vidhya
Diffusion Models for Generative Arts | DataHour | Analytics Vidhya
Analytics Vidhya
57 Master Google Analytics in 1 Hour | DataHour | Analytics Vidhya
Master Google Analytics in 1 Hour | DataHour | Analytics Vidhya
Analytics Vidhya
58 Learn Hypothesis Testing | DataHour | Analytics Vidhya
Learn Hypothesis Testing | DataHour | Analytics Vidhya
Analytics Vidhya
59 A Practical Approach to Kaggle Competition | DataHour | Analytics Vidhya
A Practical Approach to Kaggle Competition | DataHour | Analytics Vidhya
Analytics Vidhya
60 Making AI work for Business | DataHour | Analytics Vidhya
Making AI work for Business | DataHour | Analytics Vidhya
Analytics Vidhya

Related Reads

📰
Why Good UX Feels Invisible
Good UX feels invisible when it seamlessly integrates into daily life, making it easy to overlook its importance
Medium · UX Design
📰
Annotate Screenshots Instantly in Your Browser with Init Clipboard Image
Instantly annotate screenshots in your browser with Init Clipboard Image, streamlining bug reporting and collaboration
Dev.to · Hao Nguyen
📰
Placeit vs DesignBold for Branding Mockups 2026: Which One Actually Delivers?
Learn how to choose between Placeit and DesignBold for branding mockups, and discover which tool delivers the best results
Dev.to AI
📰
Technology Changes. Great Design Doesn’t.
Great design principles remain constant despite changing technology, learn what makes a great product designer beyond tools like Figma and Framer
Medium · UX Design
Up next
How To Fix CRITICAL ERROR On Wordpress [There Has Been a critical error - RESOLVED]
Christian Omeje - UDH
Watch →