Flipboard

JULY 19, 2023

When I asked ChatGPT for a joke about Sicilians the other day, it implied that Sicilians are stinky. As somebody born and raised in Sicily, I reacted …

Computer Scientist 80

Computer Scientist Explainability ChatGPT AI 80

Flipboard

JANUARY 30, 2023

Empowered by artificial intelligence technologies, computers today can engage in convincing conversations with people, compose songs, paint …

Computer Scientist 118

Computer Scientist Explainability Artificial Intelligence Artificial Intelligence 118

Unite.AI

JUNE 25, 2023

Achuta Kadambi, the study's corresponding author and an assistant professor of electrical and computer engineering at the UCLA Samueli School of Engineering, explains, “Physics-aware forms of inference can enable cars to drive more safely or surgical robots to be more precise.”

Computer Vision 361

Computer Vision Robotics Neural Network Hybrid AI 361

Flipboard

JANUARY 30, 2023

Empowered by artificial intelligence technologies, computers today can engage in convincing conversations with people, compose songs, paint …

Computer Scientist 88

Computer Scientist Explainability Artificial Intelligence Artificial Intelligence 88

Marktechpost

JULY 2, 2023

Thus, there is a growing demand for explainability methods to interpret decisions made by modern machine learning models, particularly neural networks. The researchers also emphasized the importance of understanding how computers perceive images.

Explainability 87

Explainability Neural Network AI Tools Computer Vision 87

Towards AI

SEPTEMBER 7, 2023

An analogy to explain how deep learning works… This member-only story is on us. Let’s begin by imagining a group of computer scientists and a very large elephant in the same room… Read the full blog for free on Medium. Upgrade to access all of Medium. Although useful and increasingly powerful, is this intelligence?

Deep Learning 128

Deep Learning Computer Scientist Artificial Intelligence Artificial Intelligence 128

ODSC - Open Data Science

OCTOBER 13, 2023

Geoffrey Hinton is a computer scientist and cognitive psychologist known for his work with neural networks who spent the better part of a decade working with Google. Geoffrey continued to explain that in his view, most of the advanced AI systems have some understanding and are making decisions based on their own experiences.

Neural Network 97

Neural Network Computer Scientist AI AI 97

Flipboard

MAY 31, 2023

Deep in the June feature well, the cofounders of KoBold Metals explain how they use machine-learning models to search for minerals needed for electric-vehicle batteries in “ This AI Hunts for Hidden Hoards of Battery Minerals.” Moore reports in the June issue’s lead news story “ Ending an Ugly Chapter in Chip Design.”

Artificial Intelligence 143

Artificial Intelligence Artificial Intelligence AI AI 143

ODSC - Open Data Science

MARCH 2, 2023

First, he explains the Turing Test. Trying to mimic humans has been kind of a goal of a lot of computer scientists ever since.” That researchers are going in the wrong direction. Alan Turing famously proposed that the test for intelligence, what we later called the Turing Test, was ‘how similar can an AI be to a human?’

Artificial Intelligence 52

Artificial Intelligence Artificial Intelligence Computer Scientist Data Science 52

Towards AI

FEBRUARY 15, 2023

To overcome this limitation, computer scientists are developing new techniques to teach machines foundational concepts before unleashing them into the wild. This phenomenon could be explained by smaller, simpler linear models embedded in the larger model that can be trained to complete the new task using only existing information.

Large Language Models 98

Large Language Models Prompt Engineer Prompt Engineering AI Chatbots 98

Heartbeat

DECEMBER 14, 2023

He is the Silver Professor of the Courant Institute of Mathematical Sciences at New York University and Vice-President, Chief AI Scientist at Meta.He is well known for his work on optical character recognition and computer vision using convolutional neural networks (CNN), and is a founding father of convolutional nets.

Convolutional Neural Networks 52

Convolutional Neural Networks Neural Network Deep Learning Computer Vision 52

Flipboard

SEPTEMBER 4, 2023

A high school English teacher recently explained to me how she’s coping with the latest challenge to education in America: ChatGPT. A clever series of experiments by computer scientists and engineers at Stanford University indicate that her labors to vet each essay five ways might be in vain.

ChatGPT 126

ChatGPT Computer Scientist OpenAI Categorization 126

Topbots

MARCH 2, 2023

Descartes is credited with developing algebra to explain geometry. A geometric shape could be explained by a series of equations (algebra), whereby coordinates located a point, points determined lines and lines determined planes and shape. Science could be understood by applying computer modeling to look for patterns in systems.

Generative AI 52

Generative AI Explainability Algorithm ML 52

Marktechpost

AUGUST 27, 2023

This typology is based on the frameworks attorneys use to explain legal reasoning. The success of these models in a field like law, where special lexical characteristics and challenging tasks may reveal novel insights, may interest computer scientists. They contribute to this paper: 1.

Large Language Models 93

Large Language Models LLM Prompt Engineer Prompt Engineering 93

IBM Journey to AI blog

JULY 6, 2023

IBM computer scientist Arthur Samuel coined the phrase “machine learning” in 1952. In 1962, a checkers master played against the machine learning program on an IBM 7094 computer, and the computer won. On a broader level, it asks if machines can demonstrate human intelligence.

Data Science 151

Data Science Machine Learning Big Data Data Mining 151

Marktechpost

AUGUST 24, 2023

r/compsci Anyone interested in sharing and discussing information that computer scientists find fascinating should visit the r/compsci subreddit. A machine with artificial general intelligence (AGI) is one that is capable of carrying out any intellectual work that a human can do. This contains a lot of posts about AI. million members.

Artificial Intelligence 77

Artificial Intelligence Artificial Intelligence Machine Learning Computer Vision 77

IBM Journey to AI blog

APRIL 18, 2024

Most importantly, no matter the strength of AI (weak or strong), data scientists, AI engineers, computer scientists and ML specialists are essential for developing and deploying these systems. Building an in-house team with AI, deep learning , machine learning (ML) and data science skills is a strategic move.

Neural Network 242

Neural Network LLM AI AI 242

IBM Journey to AI blog

AUGUST 11, 2023

The advancement of computing power over recent decades has led to an explosion of digital data, from traffic cameras monitoring commuter habits to smart refrigerators revealing how and when the average family eats. Both computer scientists and business leaders have taken note of the potential of the data.

Data Science 147

Data Science DevOps Machine Learning Data Scientist 147

Dlabs.ai

MARCH 17, 2021

He also runs his own YouTube channel , where he explains basic concepts of AI, shows how to use them, and talks through technological trends for the coming years. We think it’s someone even more interesting: Yann LeCun, Chief AI Scientist at Facebook. Geoffrey Hinton Twitter Geoffrey is a cognitive psychologist and computer scientist.

Deep Learning 92

Deep Learning Artificial Intelligence Artificial Intelligence Neural Network 92

Heartbeat

DECEMBER 8, 2023

Action: Wikipedia Action Input: "Yann LeCun" Observation: Page: Yann LeCun Summary: Yann André LeCun ( lə-KUN, French: [ləkœ̃]; originally spelled Le Cun; born 8 July 1960) is a Turing Award winning French computer scientist working primarily in the fields of machine learning, computer vision, mobile robotics and computational neuroscience.

Convolutional Neural Networks 52

Convolutional Neural Networks Neural Network Deep Learning LLM 52

Dlabs.ai

APRIL 8, 2021

But researchers from the University of Copenhagen and the University of Helsinki noticed that it’s hard to explain why someone finds a particular face appealing, so they decided to use artificial intelligence to interpret the brain signals behind attraction. Because you guessed it: computer-generated poetry is here.

Artificial Intelligence 52

Artificial Intelligence Artificial Intelligence Chatbots Robotics 52

TheSequence

MARCH 10, 2024

Can AI help explain the universe? Last week, computer scientist and physicist Stephen Wolfram published a long and detailed essay attempting to explain the potential and limits of AI in discovering new science. Is AI going to discover everything? What are the limits of AI when it comes to science?

LLM 52

LLM Chatbots ML Explainability 52

Flipboard

MARCH 5, 2023

In 1966, MIT computer scientist Joseph Weizenbaum released ELIZA (named after the fictional Eliza Doolittle from George Bernard Shaw’s 1913 play Pygmalion ), the first program that allowed some kind of plausible conversation between humans and machines. These are all things we humans do.

Chatbots 126

Chatbots AI AI Explainability 126

TheSequence

DECEMBER 13, 2023

Although there are now quite a few technical books covering transformers, our book was written with AI developers in mind, which means we focus on explaining the concepts through code you can run on Google Colab. Who is your favorite mathematician and computer scientist, and why?

LLM 64

LLM Natural Language Processing Machine Learning Deep Learning 64

Viso.ai

MARCH 26, 2024

Privacy-preserving Computer Vision with TensorFlow Lite Other significant contributions include works by Andrew Ng. This computer scientist and technology entrepreneur has extensively researched AI and machine learning’s impact on finance. Overcoming the ‘black box’ nature of AI for transparent and explainable AI systems.

Computer Vision 52

Computer Vision Neural Network Machine Learning Convolutional Neural Networks 52

TheSequence

NOVEMBER 8, 2023

As well as improving reasoning and planning, it potentially marks a big step forward in the explainability of end-to-end driving models. Who is your favorite mathematician or computer scientist, and why? You can also ask the model questions via natural language. How about the most common mistake investors make?

Generative AI 40

Generative AI AI AI OpenAI 40

Flipboard

SEPTEMBER 7, 2023

The scientific method has not figured out how to explain consciousness, as O’Gieblyn points out. “My guess is that we can either be the biological bootloader for digital intelligence” — meaning just a stepping stone for advanced AI — “and then fade into an evolutionary tree branch, or we can figure out what a successful merge looks like.”

AI 181

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Applied Data Science

MARCH 11, 2022

Preface In 1986, Marvin Minsky , a pioneering computer scientist who greatly influenced the dawn of AI research, wrote a book that was to remain an obscure account of his theory of intelligence for decades to come. Both of these computations have a complexity scaling in the cube of the data’s number of features.

Neural Network 52

Neural Network AI AI Data Science 52

Flipboard

AUGUST 1, 2023

“Compute” regulation : Training advanced AI models requires a lot of computing, including actual math conducted by graphics processing units (GPUs) or other more specialized chips to train and fine-tune neural networks. Harvard computer scientist Yonadav Shavit has proposed one model for regulating compute.

Explainability 119

Explainability Artificial Intelligence Artificial Intelligence AI 119