Discover and read the best of Twitter Threads about #ArtificialIntelligence

Most recents (24)

This week @NVIDIA open sourced the 3D object generation AI model, GET3D. GET3D is a generative model of high quality 3D textured shapes learned from images.

Trained using only 2D images, GET3D generates 3D shapes with high-fidelity textures and complex geometric details.

These 3D objects are created in the same format used by popular graphics software applications, allowing users to immediately import their shapes into 3D renderers and game engines for further editing.

Read 4 tweets
Rediscovered these fake dating profiles I made with AI from @botnikstudios and 1/4🧵
@botnikstudios I have way too many of these. 2/4
@botnikstudios Tag yourself. I relate on a spiritual level to Rebegga. 3/4
Read 4 tweets
-Pravin Sawhney wrote a book Last War
-I don't know how much he understands #ArtificialIntelligence but I agree AI is most profound #technology humanity ever developed
-Future wars will depend upon AI
-For me nothing is above nation so I attempt honest review where #India stands
-#India’s overall ranking 17
-Small countries like #Singapore & #Ireland are ahead
-#Infrastructure & Govt Strategy are 2 areas where we lack
-Notice we are No 2 in talent

-It all starts from #University and Institute
-Number of citations
-Number of PhDs
-#Indian universities do not figure in top unvivsities who are doing research

@ARanganathan72 @sushantsareen #ArtificialIntelligence
Read 14 tweets
Every Data scientist should know this!!
🧵⬇️ Image
Top 10 Industries for Data Science :
1. Finance
2. Retail
3. Technically
4. Healthcare
5. Telecom
6. Pharma
7. Automation
8. Cyber security
9. Energy
10. Utilities
Top 10 Roles for Data Science:
1. Data Scientist
2. Machine Learning Engineer
3. Analyst
4. ETL Engineer
5. Data Engineer
6. Analytics Manager
7. Tableau Developer
8. Researcher
9. BI Analyst
10. AI engineer
Read 10 tweets
------------------Feature Engineering----------------------

The success of all Machine Learning algorithms depends on how you present the data. Every model gets input data and gives us an output. When your goal is to get the best possible output from input,

You need to present the best data to the model. This is a problem that Feature Engineering solves. Feature Engineering refers to the process of using the domain of Knowledge to extract features from raw data.

In other words, Feature Engineering selects the most useful features from our raw data and presents them to our model, whereby we improve the performance of our model.

(hopefully, you get the point 😀).

Read 10 tweets
Let's assume you have three Features(age, height, salary) in your example.
The first feature varies from 1 to 90. The second one varies from 120 to 210 and the Third one varies from 1000 Euro to 4500 Euro.
As you can see the value of your features are in a different range. In this case, if you want to use gradient descent to find optimum parameters for your model( for instance linear regression), that leads to a slow speed of your model to converge. In this case,
you can utilize Feature Scaling to bring the value of features in a range from 0 to 1 depending on the Scaling technique, that you use. So you improve the speed of your model convergence.

Read 5 tweets
Why do businesses need Data and AI Strategies? Data and models are novel asset classes. Every new technology has unique advantages over what came before them.

Why is that important?
#DataScience #MachineLearning #ArtificialIntelligence
Cloud, data, analytics, models, etc., are monetized differently.

Each needs a customized strategy that leverages the technology’s unique strengths and informs decision-making about the technology across the business.
#DataScience #MachineLearning #ArtificialIntelligence
One vision must align the business’s application of all technologies to create and deliver value to customers in new ways.

The vision explains why the business used technology and what opportunities it creates.
#DataScience #MachineLearning #ArtificialIntelligence
Read 4 tweets
NEW: US intel sensed #Russia|n President Vladimir #Putin's growing "sense of destiny & appetite for risk" in the run-up to his invasion of #Ukraine, @CIA Director William Burns tells @BillingtonCyber

Credits good intel with helping to bolster Western soli
NEW: "I would not underestimate the capability or capacity of the #Ukrainians" per @CIA's Burns

Putin betting he can wear down the West - which Burns says "is as wrong about that bet as he was profoundly wrong in his assumptions" prior to this past February
.@CIA's Burns warns the best way to lose good intelligence "is to be reckless how you handle it", talking about carefully declassifying some secrets to push back vs #Russia prior to invasion of #Ukraine
Read 7 tweets
Gent! @synthesiaIO ha incorporat #EnCatalà (tant veu femenina com masculina) així que ens hem decidit a crear el 1r video per tiktok en català! (obro FIL)

@creadorstv @projecte_aina @tic @mantincelcatala @llenguacatEU #GoogleEnCatalà #ArtificialIntelligence
Pels que no ho sapigueu, a partir d'un text escrit, selecciones un personatge (avatar) de la llista disponible, l'idioma i la gràcia és que l'avatar llegieix el text, mou els llavis i intenta fer alguna gesticulació natural, tot mitjançant #InteligenciaArtificial
Aquí tenim el resultat. Com ho veieu?? potser encara no acaba d'anar 100% fi, però de tota manera ho penjarem #tiktok (gloriabarcelona_jewelry) a veure si ens ajuda a arribar als nostres primers 1000 seguidors...
Read 5 tweets
As I started to learn Data Science I didn't know what skills should I learn and where. That was a ton of content and I didn't know which one should I take. I have read more than a hundred articles and talk with some of my data scientist friend and gathered experience
during my journey. I want to share a roadmap and skills that you need as a junior Data Scientist and resources to learn.

1- Start with a language programming and best of all Python. You can learn Python from 3 resources.
Taking one of these courses is enough.

A- 2022 Complete Python Bootcamp From Zero to Hero in Python by Jose Portilla in Udemy.

Jose Portilla is my favorite instructor. This Course has a GitHub repo where you can access Codes there.…

Read 19 tweets
1/ Using AI to generate fashion

After a bunch of experimentation I finally got DALL-E to work for video by combining it with a few other AI tools

See below for my workflow -

#dalle2 #dalle #AIart #ArtificialIntelligence #digitalfashion #virtualfashion
2/ First I used DALL-E to generate outfits. I did this by erasing parts of my existing outfit and inpainting over it

Btw when I erased the entire outfit, the results didn't look as good. By keeping parts of the original, DALL-E was able to better match color and lighting
3/ But here’s the challenge. DALL-E works great for individual pictures, but it’s not designed for video. It won’t give you consistency from frame to frame.

Here was my early experiment. See, no consistency between frames
Read 9 tweets
Deep Fakes | Testing Tools and various Software (Another thread will be created soon on Deep Fake Detection)

This is a Thread 🧵 👇

#AI #ArtificialIntelligence #deepfake #OSINT
1 of 7
Used for the below video of my friend Ryan Shaw who is an FBI Agent.

Ryan Shaw does not exit and was fabricated by me. Everything was chosen, the moving background, the AI person, the accent, the language.
#AI #Artificial_Intelligence
2 of 7
Used for the video below. The face of Obama was swapped for the face of Gen. Colin Powell. Software didn’t change the shape of Obama’s face, did some additional modifications with, voice wasn’t changed. #AI #OSINT
Read 8 tweets
1/ Using AI to imagine alternate worlds🪞
collab w/ 🍃@MichaelCarychao 🦾Sagans

#discodiffusion #aiart #artificialintelligence
@MichaelCarychao 2/ Here's the raw footage. I started off by creating a simple AR filter of two empty white rectangles using Adobe Aero. Shot by @AustinGumban
@MichaelCarychao @AustinGumban 3/ Then @MichaelCarychao generated the nature side. Here's a peek at his behind-the-scenes process. Highly recommend checking out his account for more AI art ideas
Read 7 tweets
7 mind-blowing AI websites you probably didn't know existed: Image
1. @elai__io a leading text-to-video platform that allows anyone to build customized AI videos with a presenter using only text.
2. @synthesiaIO  is a web-based platform for creating videos with AI avatars. Create a professional videos
Read 10 tweets
1/ The future of AI and TfT

Many new tools are introducing usable Artificial Intelligence to Tools for Thought. It can be said that the initial results are exciting. AI can create connections in our note database and to outside resources.

#ArtificialIntelligence #TfT
While the possibilities are exciting, there are of course privacy concerns.

Can AI be trusted?

For PKM scenarios, individuals make personal notes through journalling and documenting research. While not all of it is sensitive, it is likely to contain much sensitive info.
3/ will individual users want such notes processed by a server that is deeply analyzing their notes and cross-referencing them with information from other external resources?

I also wonder if users will understand what it means to hand their data off to such a tool?
Read 5 tweets
A very good paper I came across this morning by the @DeepMind researchers. For the past five years Transformers have been one of the most dominant approaches to Deep Learning problems, especially in the #NLP domain.

However, despite many interesting papers on the topic, and lots of good open code, there has been a noticeable lack of *formal* definition of what transformed are, especially on the level of pseudocode.

This paper aims to rectify that. It provides pseudocode for almost all major Transformer architectures, including training algorithms.

Read 5 tweets
New to #privacy & #dataprotection? Here are 18 books (in English) you should read to give you a thriving start:
1- Privacy’s Blueprint: The Battle to Control the Design of New Technologies by @hartzog. [To understand how #technology - software, hardware, algorithm & design - is not neutral: it can easily manipulate us and negatively affect our #privacy]…
2- Re-Engineering Humanity by @BrettFrischmann & @EvanSelinger. [To understand what happens when we get too fascinated by #bigdata, predictive analytics and #ArtificialInteligence and forget the importance of human autonomy and freedom]…
Read 22 tweets
@boblautenbach @Alan_L_Lovejoy @Ryu_Zoku Yes Chris Lattner is very interesting, been following his #LLVM and #SWIFT work.

@boblautenbach @Alan_L_Lovejoy @Ryu_Zoku Actually #ZokuTalk adopts the portion of SWIFT #EBNF for #Unicode as they seems have done good job on that, as well as parts of the EBNF for numerics such as "1_234.00" to expand privative data types entry.

@boblautenbach @Alan_L_Lovejoy @Ryu_Zoku Borrowing C & Assembly data types: 0b0011, 0xFF, keeping 16r0A, plus many others.

Actually the numeric formats are one of more complicated part of the #EBNF of #ZokuTalk and the only non-#MOBS (#Messages #Objects #Block #Syntax) part of the evolved syntax.

Read 10 tweets
1/ I used DALL-E to imagine beyond this painting @OpenAI Inspired by @literallydenis #dalle #dalle2 #artificialintelligence #art
@OpenAI @literallydenis 2/ Something that AI headlines don't always capture is that as a human, you actually have a lot of artistic input in what the AI paints. The AI didn't draw all this automatically - I prompted it to draw certain elements
@OpenAI @literallydenis 3/ Here's a sampling of the prompts I used. For each prompt, I added "painting by Johannes Vermeer" at the end for style Image
Read 5 tweets
1/ Using AI to smooth my footage 😌 with @jperldev. We’re using DAIN, an AI technique that smoothly interpolates frames. #stopmotion #artificialintelligence
2/ For every frame you see, it generates 8 frames in between with incredibly smoothness and accuracy. Its main use case is to create artificial (and very convincing) slow motion on clips, but I thought it'd be interesting to apply it to stop motion to create "impossible" movement
3/ You can try DAIN by going to It works on Windows and NVIDIA only (it requires a TON of GPU power) and isn't the easiest to set up or run. But I do believe that this technology will become more mainstream
Read 6 tweets
1/ We used NeRF to get this shot. This entire thing was shot with a phone 🤳 No drones were used @jperldev #photogrammetry #instantNeRF #neuralrendering #artificialintelligence
2/ Here's how - walked around me in circles a few times, pointing his phone at me. We fed the video into Instant-NGP which created a NeRF out of the footage.
3/ It's kinda like a 3D model, but instead of creating mesh+textures it’s more like a point cloud that changes color depending on what angle you view it from. This creates beautiful surreal lighting effects - you can see how the light hits differently as we change camera angles.
Read 8 tweets
Explainer of my recent @GLOBSEC paper (link at end) on #NATO policy on #innovation and #AI, what should come next, and how that could also help #Ukraine.

Background bit: I explain the concept of General-Purpose Technology (GPT). AI is a GPT.
This changes the policy mix.
For any new technology, one could reason that high defence spending and a robust defence industry could internalise: hire lots of new talent and done.
Why, then, do we pursue new forms of partnerships?
Aim is to tap into a broader pool of innovative talent that is...
...decentralised and dispersed across a wide range of civilian organisations. That's the GPT effect: a narrow new technology, e.g. better radar, would be much more internalised in a small number of "traditional" defence organisations.
Not so for AI.
Read 12 tweets
Why has reinforcement learning not been adapted to the design process?

I believe the RL problem and the design process are pretty similar, and the RL community should embrace the design process as a potential application for RL algorithms. (1/N)
In this thread, I will shortly elaborate on why these two are similar in my eyes.

Design is a crucial step in making things, but it is not easy to find a single definition for it. In the context of architectural design, ... (2/N)
... one might define the design process as a series of steps followed by the designer to iteratively find a solution for a given design scenario.

In his book, Notes on the Synthesis of Form, in 1964, Christopher Alexander wrote:

"The ultimate object of design is form". (3/N)
Read 12 tweets

Related hashtags

Did Thread Reader help you today?

Support us! We are indie developers!

This site is made by just two indie developers on a laptop doing marketing, support and development! Read more about the story.

Become a Premium Member ($3.00/month or $30.00/year) and get exclusive features!

Become Premium

Too expensive? Make a small donation by buying us coffee ($5) or help with server cost ($10)

Donate via Paypal Become our Patreon

Thank you for your support!