Difference between revisions of "Current State"

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<b>Ray Perrault: Presenting the 2023 AI Index
 
<b>Ray Perrault: Presenting the 2023 AI Index
 
</b><br>The AI Index, currently in its sixth year, tracks, collates, distills, and visualizes data relating to artificial intelligence. The AI Index provides unbiased, rigorously vetted, and globally sourced data for policymakers, researchers, journalists, executives, and the general public to develop a deeper understanding of the complex field of AI. Led by a Steering Committee of influential AI thought leaders, the AI Index is the world’s most comprehensive report on trends in AI. The 2023 report will cover AI trends related to research and development, technical performance, technical AI ethics, economy, education, policy and governance, diversity as well as public opinion.
 
</b><br>The AI Index, currently in its sixth year, tracks, collates, distills, and visualizes data relating to artificial intelligence. The AI Index provides unbiased, rigorously vetted, and globally sourced data for policymakers, researchers, journalists, executives, and the general public to develop a deeper understanding of the complex field of AI. Led by a Steering Committee of influential AI thought leaders, the AI Index is the world’s most comprehensive report on trends in AI. The 2023 report will cover AI trends related to research and development, technical performance, technical AI ethics, economy, education, policy and governance, diversity as well as public opinion.

Revision as of 22:03, 2 May 2023

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Staying ahead of AI

How to keep up with AI research?
AI is a one of the fastest progressing fields. 1000s of papers released every month, So how do we keep up? SUBSCRIBE to Code Emporium: https://www.youtube.com/c/CodeEmporium

ChatGPT-4 Unlocks Research Genius: The Tricks You Need to See!
In this video, I share with you how I use chat GPT-4 for research and the tricks that I have discovered.

Where are we now?

How AI and the Metaverse will Shape Society with Ian Beacraft | SXSW 2023
Generative AI is digitizing skillsets, making them programmable and upgradeable. As a result, a new class of Generalists will dominate the era of generative AI. As expertise and experience are no longer needed to perform with proficiency in new fields, those with a breadth of experience and passionate curiosity will rise to the top. With AI, individual creators can become armies of one.

This will flip the corporate world on its head and is already disrupting training and education. Socratic learning with ChatGPT and performing surgery in VR are just the beginning. The combination of AI and Extended reality will bring about the return of the apprenticeship, where our teachers are machines.

Even our relationships will change. In a time where our behaviors are guided by algorithms, and humans become more machine-like, machines are becoming more human. AI companions provoke emotions and elicit feelings of romance, while children are less concerned with whether their friends are real or synthetic.

This isn't the future. This is happening today. We’ll explore what these trends mean now and for the decades to come.

Ray Perrault: Presenting the 2023 AI Index
The AI Index, currently in its sixth year, tracks, collates, distills, and visualizes data relating to artificial intelligence. The AI Index provides unbiased, rigorously vetted, and globally sourced data for policymakers, researchers, journalists, executives, and the general public to develop a deeper understanding of the complex field of AI. Led by a Steering Committee of influential AI thought leaders, the AI Index is the world’s most comprehensive report on trends in AI. The 2023 report will cover AI trends related to research and development, technical performance, technical AI ethics, economy, education, policy and governance, diversity as well as public opinion.

9 New AI Tools That Will BLOW YOUR MIND (Must See)
Greg Brockman, President and Co-Founder of @OpenAI, joins Alexandr Wang, CEO and Founder of Scale, to discuss the role of foundation models like GPT-3 and DALL·E 2 in research and in the enterprise. Foundation models make it possible to replace task-specific models with those that are generalized in nature and can be used for different tasks with minimal fine-tuning.

In January 2021, OpenAI introduced DALL·E, a text-to-image generation program. One year later, it introduced DALL·E 2, which generates more realistic, accurate, lower-latency images with four times greater resolution than its predecessor. At the same time, it released InstructGPT, a large language model (LLM) explicitly designed to follow instructions. InstructGPT makes it practical to leverage the OpenAI API to revise existing content, such as rewriting a paragraph of text or refactoring code.

Before creating OpenAI, Brockman was the CTO of Stripe, which he helped build from four to 250 employees. Watch this talk to learn how foundation models can help businesses benefit from applications that they can create more quickly than with past generations of AI tools.

OpenAI CEO Sam Altman | AI for the Next Era
Greylock general partner Reid Hoffman interviews OpenAI CEO Sam Altman. The AI research and deployment company's primary mission is to develop and promote AI technology that benefits humanity. Founded in 2015, the company has most recently been noted for its generative transformer model GPT - 3, which uses deep learning to produce human-like text, and its image-creation platform DALL·E.

9 New AI Tools That Will BLOW YOUR MIND (Must See)
I show you 9 Epic Ai Tools and websites that you need to try. Everyone is talking about artificial intelligence since the launch of ChatGPT...So I've found 9 more mind blowing ai tools to make you super human.

The 5 Biggest Artificial Intelligence (AI) Trends In 2023 Everyone Must Get Ready For Now
In this video, we look at the five biggest trends in the field of AI and machine learning for 2023: 1. The continuous democratisation of AI via apps, AIaaS and no-code environments 2. The emergence of powerful Generative AI platforms 3. Further push towards fair, ethical and explainable AI 4. Working alongside AIs and job augmentation. 5. Sustainable AI

Andrew Ng: Deep Learning, Education, and Real-World AI | Lex Fridman Podcast #73
Andrew Ng is one of the most impactful educators, researchers, innovators, and leaders in artificial intelligence and technology space in general. He co-founded Coursera and Google Brain, launched deeplearning.ai, Landing.ai, and the AI fund, and was the Chief Scientist at Baidu. As a Stanford professor, and with Coursera and deeplearning.ai, he has helped educate and inspire millions of students including me.

Andrew Ng - The State of Artificial Intelligence
Dec 15, 2017 Professor Andrew Ng is the former chief scientist at Baidu, where he led the company's Artificial Intelligence Group. He is an adjunct professor at Stanford University. In 2011 he led the development of Stanford University’s main MOOC (Massive Open Online Courses) platform and also taught an online Machine Learning class that was offered to over 100,000 students, leading to the founding of Coursera.

Top 10 Interesting Artificial Intelligence (AI) Projects and Use cases
Data Science and AI for Kids If you like your kids to get a great toy to learn how to learn logic and code try this https://amzn.to/2Vh2uhh This is happening right now. These are unusual but interesting use cases of Artificial Intelligence (AI) applications. The technology is used in almost all areas of our life. I can't think of any area where AI is not going to affect our lives. If you have an idea where AI is not going to affect, please post your comments here. For courses for kids on Data Science and AI go here : https://www.Pathway.ai

Deep Learning State of the Art (2020) | MIT Deep Learning Series
Lex Fridman Lecture on most recent research and developments in deep learning, and hopes for 2020. This is not intended to be a list of SOTA benchmark results, but rather a set of highlights of machine learning and AI innovations and progress in academia, industry, and society in general. This lecture is part of the MIT Deep Learning Lecture Series. Website: https://deeplearning.mit.edu Slides: https://bit.ly/2QEfbAm References: https://bit.ly/deeplearn-sota-2020 Playlist: https://bit.ly/deep-learning-playlist CONNECT: - If you enjoyed this video, please subscribe to this channel. - Twitter: https://twitter.com/lexfridman - LinkedIn: https://www.linkedin.com/in/lexfridman - Facebook: https://www.facebook.com/lexfridman

The Next Leap: How A.I. will change the 3D industry - Andrew Price
Blender Conference 2018 - Thursday 25 October at the Theater. Support Blender by joining the Development Fund https://fund.blender.org/

Artificial Intelligence in 2020
This video recaps developments in AI from 2019! Happy New Year!

Jeff Dean’s Lecture for YC AI
Jeff Dean is a Google Senior Fellow in the Research Group, where he leads the Google Brain project.

Top 5 Uses of Neural Networks! (A.I.)
Hi, welcome to ColdFusion. Experience the cutting edge of the world around us in a fun relaxed atmosphere.

Machine Learning: Living in the Age of AI | A WIRED Film
“Machine Learning: Living in the Age of AI,” examines the extraordinary ways in which people are interacting with AI today. Hobbyists and teenagers are now developing tech powered by machine learning and WIRED shows the impacts of AI on schoolchildren and farmers and senior citizens, as well as looking at the implications that rapidly accelerating technology can have. The film was directed by filmmaker Chris Cannucciari, produced by WIRED, and supported by McCann Worldgroup.

Use Cases - Ep. 12 (Deep Learning SIMPLIFIED)
Despite its popularity, machine vision is not the only Deep Learning application. Deep nets have started to take over text processing as well, beating every traditional method in terms of accuracy. They also are used extensively for cancer detection and medical imaging. When a data set has highly complex patterns, deep nets tend to be the optimal choice of model.

Demo URLs Clarifai - https://www.clarifai.com Metamind - https://www.metamind.io/language/twitter

As we have previously discussed, Deep Learning is used in many areas of machine vision. Facebook uses deep nets to detect faces from different angles, and the startup Clarifai uses these nets for object recognition. Other applications include scene parsing and vehicular vision for driverless cars.

Advances in machine learning and TensorFlow (Google I/O '18)
Artificial intelligence affects more than just computer science. Join this session to hear a collection of short presentations from top machine learning researchers: the TensorFlow engineers working on robotics, and the Magenta team exploring the border between machine learning and art.

AWS Summit Singapore - Machine Learning in Practice
With the launch of several new Machine Learning (ML) services on AWS, now is your chance to learn how to quickly apply ML to solve real-world business problems, no prior ML experience necessary. During this session, you will learn about vision services to analyze your images and video for facial comparison, object detection and detecting text (Amazon Rekognition and Amazon Rekognition Video), building conversational interfaces for chatbots (Amazon Lex), and core language services for converting audio to text (Amazon Transcribe), converting text to speech (Amazon Polly), identifying topics and themes in text (Amazon Comprehend) and translating between two languages (Amazon Translate). Speaker Steve Shirkey, Solutions Architect, ASEAN, AmazonAWS

A.I. is Progressing Faster Than You Think!
Sergey Brin ColdFusion

Prof. Yoshua Bengio - Deep learning & Backprop in the Brain
Yoshua Bengio is a Canadian computer scientist, most noted for his work on artificial neural networks and deep learning. Bengio received his Bachelor of Science, Master of Engineering and PhD from McGill University. Recorded: September 8, 2017

Using Deep Learning to Extract Feature Data from Imagery
Vector data collection is the most tedious task in a GIS workflow. Digitizing features from imagery or scanned maps is a manual process that is costly, requiring significant human resources to accomplish. Building footprint extraction from imagery provides an even more complex challenge due to shadows, tree overhang, and the complexity of roofs. Often times, this feature extraction work is performed by GIS analysts whose time would be better spent performing analysis and producing actionable reports for decision makers, rather than collecting data. Object detection is a particularly challenging task in computer vision. Today’s advanced deep neural networks (DNN) use algorithms, big data, and the computational power of the GPU to change this dynamic.

The art of neural networks | Mike Tyka | TEDxTUM
Did you know that art and technology can produce fascinating results when combined? Mike Tyka, who is both artist and computer scientist, talks about the power of neural networks. These algorithms are capable to transform computers into artists that can generate breathtaking paintings, music and even poetry. Dr. Mike Tyka studied Biochemistry and Biotechnology at the University of Bristol. He obtained his Ph.D. in Biophysics in 2007 and went on to work as a research fellow at the University of Washington, studying the structure and dynamics of protein molecules. In particular, he has been interested in protein folding and has been writing computer simulation software to better understand this fascinating process. In 2009, Mike and a team of artists created Groovik’s Cube, a 35 feet tall, functional, multi-player Rubik’s cube. Since then, he co-founded ATLSpace, an artist studio in Seattle and has been creating metal and glass sculptures of protein molecules. In 2013 Mike went to Google to study neural networks, both artificial and natural. This work naturally spilled over to his artistic interests, exploring the possibilities of artificial neural networks for creating art.

Stanford Seminar - Artificial Intelligence: Current and Future Paradigms and Implications
EE380: Computer Systems Colloquium Seminar Artificial Intelligence: Current and Future Paradigms and Implications Speaker: Scott Phoenix, Vicarious Artificial intelligence has advanced rapidly in the last five years. This talk intends to provide high-level answers to questions like: What can the evolution of intelligence in the animal kingdom teach us about the evolution of AI? How should people who are not AI researchers view the societal transformation that is now underway? What are some of the social, economic, and political implications of this technology as it exists now? What will future AI systems likely be capable of, and what are the largest expected impacts of these systems? The talk will be understandable for non-computer scientists. About the Speaker: Scott Phoenix is CEO and a founder of Vicarious, an AI research company building general intelligence for robots. Vicarious has received over $110 million in funding from pioneers like Mark Zuckerberg, Elon Musk, and Jeff Bezos. Prior to co-founding Vicarious, Mr. Phoenix was an entrepreneur-in-residence at Founders Fund. He earned his BAS in Computer Science and Entrepreneurship from the University of Pennsylvania.

NVIDIA: Deep Learning - Extracting Maximum Knowledge from Big Data Using Big Compute
Deep learning (DL) and AI are fundamentally changing the way data is used in computation. They are enabling computing capabilities that will transform almost every industry, scientific domain, and public usage of data and compute. The recent success of DL algorithms can be seen as the culmination of decades of progress in three areas: research in DL algorithms, broad availability of big data infrastructure, and the massive growth of computation power produced by Moore’s law and the advent of parallel compute architectures. A key advantage of deep learning is that you can use the same techniques for many applications, as compared to algorithms which are typically specific to a single area. In practice, deep learning has been employed successfully in such diverse areas as healthcare, transportation, industrial IoT, finance, entertainment, and retail, in addition to high-performance computing. Examples will illustrate how the approach works and how it complements high-performance data analytics and traditional business intelligence. Recorded: August 9th, 2017

MIT Sloan: Intro to Machine Learning (in 360/VR)
This is a guest talk for course 15.S14: Global Business of Artificial Intelligence and Robotics (GBAIR) taught in Spring 2017.

TensorFlow Dev Summit 2019 Livestream
#TFDevSummit brings together a diverse mix of machine learning users from around the world for two days of highly technical talks, demos, and conversation with the TensorFlow team and community.

AI in 2020
Almost exactly 4 years ago I decided to dedicate my life to helping educate the world on Artificial Intelligence. There were hardly any resources designed for absolute beginners and the field was dominated by PhDs. In 2020, thanks to the extraordinary contributions of everyone in this community, all that has changed. It’s easier than ever before to enter into this field, even without an IT background. We’ve seen brave entrepreneurs figure out how to deploy this technology to save lives (medical imaging, automated diagnosis) and accelerate Science (AlphaFold). We’ve seen algorithmic advances (deepfakes) and ethical controversies (automated surveillance) that shocked the world. The AI field is now a global, cross-cultural movement that's not limited to academics alone. And that’s something all of us should be proud of, we’re all apart of this. I’ve packed a lot into this episode! I’ll give my annual lists of the best ML language and libraries to learn this year, how to learn ML in 2020, as well as 8 predictions about where this field is headed. I had a lot of fun making this, so I hope you enjoy it!

AI in 2040
What does the field of Artificial Intelligence look like in 2040? It's a really hard question to answer since there are still so many unanswered questions about the nature of reality and computing. In this episode, I'll make my best predictions about AI hardware, AI software, and the societal impact of AI in 2040. We'll cover quantum mechanics, neuromorphic computing, DNA storage, decentralized computing, basic income, and mind-body machines. Enjoy!

Mass Communication

Elon Musk’s A.I. Destroys Champion Gamer!
Hi, welcome to ColdFusion Dota 2 Championship

IBM's Watson Supercomputer Destroys Humans in Jeopardy | Engadget
Engadget provides the web's best consumer electronics & gadgets coverage. Launched in 2004 by former Gizmodo editor and co-founder Peter Rojas, Engadget now covers the latest mobile devices, computers, TVs, laptops, personal electronics, hardware, tablets, and cameras. Engadget's video property is a part of the AOL On Network. Jan 13, 2011

Tonight Showbotics: Jimmy Meets Sophia the Human-Like Robot
Jimmy Fallon demos amazing new robots from all over the world, including an eerily human robot named Sophia that plays rock-paper-scissors.

You can soon buy a sex robot equipped with artificial intelligence for about $20,000
In her National Geographic series, "America Inside Out," Katie Couric learned about the world's first sex robot, Harmony.

NASA uncovers another planet with help of artificial intelligence
NASA is celebrating after groundbreaking artificial intelligence helped discover a new planet. NASA researchers used advanced machine learning technology from Google to help find the planet thousands of light-years away. Michelle Miller reports.

HAL 9000: "I'm sorry Dave, I'm afraid I can't do that"
An excerpt from the 1968 film "2001: A Space Odyssey" directed by Stanley Kubrick. Synopsis: Mankind finds a mysterious, obviously artificial, artifact buried on the moon and, with the intelligent computer HAL, sets off on a quest, where the way the HAL 9000 super computer malfunctions.


Humor

Stephen Colbert's Cyborgasm: Google Duplex
Google demonstrated its new Google Duplex, an A.I. assistant that can have realistic conversations with humans. But what happens when they talk to each other?

Introducing Google Nose
We're excited to announce our newest addition to Search: Google Nose. What do wet dogs smell like? Google Nose! How about victory? Google Nose! Try searching on Google for "wet dog" and explore other smells that people sniffed for, or visit google.com/nose to learn more. Happy smelling!

Amazon Echo - SNL
The Amazon Echo Silver is specifically designed for the greatest generation (Kenan Thompson, Kate McKinnon, Leslie Jones, Kyle Mooney, Aidy Bryant).

LOL-BOT - THE WORLD’S FIRST A.I. COMEDIAN
This year, the Melbourne International Comedy Festival is unveiling the world’s first A.I. comedian, aptly named, LOL-BOT. Developed locally in Melbourne, LOL-BOT is a comedy-tech prototype that can generate its own on-the-spot jokes and pick up on real-time human reactions. He’s a shining example of the huge strides that are being made in artificial intelligence, albeit for a more humorous purpose.

COG Ai - Generative AI for Game Reviews
The software development team that built The Game Crafter, Component Studio, and Tabletop Events is excited to announce their newest project in the artificial intelligence space. Introducing COG Ai - Generative AI for Game Reviews.

Artificial Intelligence: Last Week Tonight with John Oliver (HBO)
Artificial intelligence is increasingly becoming part of our lives, from self-driving cars to ChatGPT. John Oliver discusses how AI works, where it might be heading next, and, of course, why it hates the bus.

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