Discover and read the best of Twitter Threads about #NeuralNetworks

Most recents (24)

¿Podemos fiarnos de lo que nos diga una inteligencia artificial #IA? ¿Cómo interpretamos sus decisiones?

Vengo a contaros cómo mi tesis en @BigData_uc3m @uc3m busca arrojar algo de luz ☀️ sobre estos algoritmos tan opacos🌑!

Abro #HiloTesis 👇 Image
La #IA ha pasado de ser un tema exclusivo de los investigadores a estar en boca de todos en cuestión de meses. Y con ello han aparecido las preocupaciones y gente volviendo a ver Terminator para estar preparados antes de que los robots 🤖 nos dominen!
Por suerte, todavía estamos algo lejos de ese escenario apocalíptico, pero ¿os imagináis a inteligencias artificiales tomando decisiones importantes sin que sepamos cómo? Pues, en cierto modo, esto lleva tiempo ocurriendo prácticamente a diario. 😱
Read 20 tweets
1/ 🧠🌌 Embarking on a journey to explore AI, consciousness, and the cosmos, we'll dive into research and knowledge shaping our understanding of the universe. Are you ready for the fascinating world of AI, consciousness, and cosmic connections? #AI #Consciousness #Cosmology
2/ 🎇🔬 From Einstein's theory of relativity to quantum mechanics discoveries, our understanding of the universe has evolved significantly. These advancements set the stage for exploring AI and consciousness. #Einstein #QuantumMechanics #Physics
3/ 🧬🤖 AI research has progressed since Turing's days. Today, we're making breakthroughs in deep learning, neural networks, and reinforcement learning, pushing the boundaries of AI and consciousness. #DeepLearning #NeuralNetworks #ReinforcementLearning
Read 11 tweets
👉 "MAT: Mask-Aware Transformer for Large Hole Image Inpainting" proposes a new method for image inpainting using the Mask-Aware Transformer neural network architecture. It generates high-quality and visually consistent inpainting results for images with large holes.
👉 DALL-E can also be used for inpainting. By adding frames, the scene can be extended and the prompt can be switched up to create something new and surreal. It's like painting your own dreamscape or designing your own world.
👉 The results from DALL-E are often surreal and dreamlike, making it fun and exciting to use. Check out the video and examples for some creative ways to outpaint.
Read 5 tweets
Machine Learning (ML) algorithms have revolutionized spatial analysis, providing new insights into geographic data. Here's a list of popular ML algorithms used in #geospatial #DataScience
#DataScience #MachineLearning #SpatialAnalysis #gischat
K-means clustering is a popular unsupervised ML algorithm used for clustering and segmentation of spatial data. It's used to identify spatial patterns, group similar geographic features, and create thematic maps.
Random Forests is a supervised ML algorithm used for classification and regression tasks in Geospatial Data Science. It's used to predict land use, soil properties, and other geographic variables.
Read 7 tweets
The is the result of #Transhumanism.

If you are C19 vaccinated you are no longer fully human. You are now a patentable organism.

The ultimate #SatanicAgenda.

God help us.

#CovidVaccines #5G #mRNA #smartgrids #Agenda2030 #GreatReset #hackableanimals #freewill #SupremeCourt
Here is the Supreme Court opinion he is referring to. The link to the doc he is quoting from has been taken down.

Note the cDNA (complementary DNA) created by mRNA is patentable.

#CovidVaccines #5G #mRNA #smartgrids #Agenda2030 #GreatReset #hackableanimals #SupremeCourt…
Why did this link get taken down? Image
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Ten new age technologies built on #opensource

AI or Artificial Intelligence
Cyber Security Methods
Cloud Computing
Big Data and analytics
Blockchain Technology
Full Stack Development

#Python #Web3 #AR #VR #devops #Iot #FullStack #AI #neuralnetworks #IT
AI is like having a really smart robot friend that can help us do things faster and better! 🤖👍 #AI #RobotFriend
AR and VR are like magical glasses that let you see and interact with things that aren't really there! 🤓👓✨ #AR #VR #MagicalGlasses
Read 12 tweets
#SupervisedLearning is a type of #MachineLearning where an algorithm is trained on a labeled dataset to predict outcomes for new data

The labeled dataset contains input variables and the desired output, and the algorithm uses this information to make predictions
In #SupervisedLearning, the algorithm is constantly adjusting its parameters to minimize the prediction error

One of the most popular algorithms for #SupervisedLearning is #LinearRegression, used for prediction problems where the target is continuous
Another common algorithm is #LogisticRegression, used for classification problems where the target is binary

#DecisionTrees and #RandomForests are commonly used for both regression and classification problems
Read 15 tweets
"Training Machines to Learn the Way Humans Do: an Alternative to #Backpropagation"

Today's SFI Seminar by Sanjukta Krishnagopal
(@UCBerkeley & @UCLA)

Starting now — follow this 🧵 for highlights:
"When we learn something new, we look for relationships with things we know already."

"I don't just forget Calculus because I learned something else."

"We automatically know what a 'cat-dog' would look like, if it were to exist."

"We learn by training on very few examples." Image
1, 2) "[#MachineLearning] is fundamentally different from the way humans learn things."

3) Re: #FeedForward #NeuralNetworks

"You choose some loss function...maybe I'm learning the wrong weights. So I define some goal and then I want to learn these weights, these thetas." ImageImageImage
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@nixtlainc started last year as a side project

Today we reached 1 million downloads🎉

Our goal is to shake the time series industry and make state-of-the-art algorithms available for everyone 🔥

This is how we got there


@nixtlainc's ecosystem consists (now) of 5 #python libraries

Focus: speed, scalability, and accuracy 🚀

Some features:
* @scikit_learn syntax
* Native support for #spark, @raydistributed, and @dask_dev
* Models! Eg #arima, #LightGBM, #NeuralNetworks, #transformers 🤖

2/11 Image
We are really proud of the open-source adoption

Repos from Amazon, Mozilla, and DataBricks use us as dependencies 🏄‍♂️

We have contributions from people working at H20, Microsoft, Google, Facebook, SalesForce, Oracle, Shopify, AT&T, Blueyonder, Stanford, MIT and UCL 🙏

Read 12 tweets
AI-generated art can have a dark sense of humour.

StableDiffusion: "Where's Waldo in Donbas"

(No crowd left, just him...) Image
"Award-winning travel poster for Donbas" Image
On the subject: "Russia sowing discord in Europe" ImageImageImageImage
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Have you ever wondered if your Network has learned malicious abstractions?

We are announcing DORA – the first automatic data-agnostic method to find outlier representations in #NeuralNetworks.

Here are watermark detectors in the pre-trained ResNet18! Image
How DORA works?

DORA unveils the self-explaining capabilities of DNNs by extracting semantic information contained in the synthetic Activation Maximisation Signals (s-AMS) and employing this information further to identify outlier (and potentially infected) representations. Image
Why synthetic signals?

DORA is fast and data-agnostic – you do not have to have the training data on your hands. Moreover, since modern networks are trained on enormous datasets, explaining representations with ImageNet might be misleading! #StarWars Image
Read 12 tweets
"Despite deteriorating health and widening inequalities across the country...there is scope for local areas to make a real difference. Changes in approach, allocation of resources and strengthened partnerships are essential." Michael Marmot @MichaelMarmot…
These are the top 10 cities for work-life balance, according to an analysis — and there isn't a single US city among them…
#WorkLifeBalance, #CitySurvey, #AnalysisResults
Study explores the concept of artificial consciousness in the context of the film 'Being John Malkovich'…
#ArtificialIntelligence, #ArtificialConsciousness, #CinematicSymbols
Read 13 tweets
"Good intentions and accurate data still aren’t enough. You also need to know that you’ve collected the right data and asked the right questions, and these are both much, much harder than the introductory effective altruist material tends to let on."…
Read 13 tweets
“Lots of us have a learning mindset or a growth mindset – it makes the journey more exciting and more fulfilling if you are learning new things, and pushing yourself in new ways.” -- Kweilin Ellingrud @KweilinE…
Controversial impact crater under Greenland's ice is surprisingly ancient | Science | AAAS…
#ImpactCrater, #GreenlandDiscovery, #TimelineEstimates
Read 13 tweets
Following tips may boost model performance across different network structures with up to 5% (mAP or mean Average Precision) without increasing computational costs in any way.

#computervision #pytorch #deeplearning #deeplearningai #100daysofmlcode #neuralnetworks #AI
Visually Coherent Image Mix-up for Object Detection. This has already been proven to be successful in lessening adversarial fears in network classification after testing it on COCO 2017 and PASCAL datasets with YOLOv3 models.
#computervision #pytorch
Read 13 tweets
While #science thought us that we can even cut and paste #genes with #CRISPR technology…even with that we only influence 3% to 5% of #chronicillness. The rest depends on #how you #live your #life!!! So how do we #SelfRegulate our #body?
1. Good #sleep is more important than most think! What happens during sleep? The fluctuation of consciousness…that we call the waking state. But in many wisdom traditions of the world, the waking state is merely a lucid dream that consciousness is having…
Read 41 tweets
I see lots of coders trying to get into #deeplearning (DL) without having math pre-reqs.
Good idea? Bad idea? It can be either ⚖️. Let's talk about that 🧵👇

0. What do we mean by "math skills"? I'm talking: calculus, linear algebra, probability, and statistics.
Let's get something else out of the way: people might accuse you of trying to take a shortcut. But it's perfectly normal (and arguably optimal) to try to see how far you can get with what you already have! The impulse isnt wrong, but it may still be the wrong choice for you.
Without solid math skills, you WILL be limited with how far you can go in DL. This isn't necessarily a problem. People learn how to drive cars all the time without ever intending to build a car of their own. Sometimes driving is enough.
Read 11 tweets

Thread of the very best #YouTube channels and #Twitter accounts to follow for:

#AI/ #ML, #DeepLearning, #neural and all things #datascience

#AI #machinelearning @wiserin10 #datascience #bigdata #artificialintelligence


Analytics India Magazine includes discussions on news, tips for the data ecosystem and a deep dive into #AI/#ML, #deeplearning and #neural networks

#YouTube subscriber count: 38k


Krish Naik is co-founder of and specialises in #machinelearning, #deeplearning, and computer vision. Krish’s #YouTube channel is a deep dive into all things #AI/#ML, perfect for beginners

YouTube subscriber count: 421k
Read 15 tweets

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