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. What is MLOps?

Data Science 170

Data Science DevOps Machine Learning Data Scientist 170

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 Engineering Prompt Engineer AI Chatbots 98

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. Lean on them too heavily, and that algorithm of predictability becomes our own.

Chatbots 132

Chatbots AI AI Explainability 132

Marktechpost

AUGUST 24, 2023

r/compsci Anyone interested in sharing and discussing information that computer scientists find fascinating should visit the r/compsci subreddit. r/computervision Computer vision is the branch of AI science that focuses on creating algorithms to extract useful information from raw photos, videos, and sensor data.

Artificial Intelligence 97

Artificial Intelligence Artificial Intelligence Machine Learning Computer Vision 97

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

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 Machine Learning 92

ML @ CMU

SEPTEMBER 27, 2024

He was an English math ematician , logician , crypt anal yst, and computer scientist. He was an English math ematician , computer scientist , crypt anal yst and philos opher. It is hard, if not impossible, to detect whether a particular token is from the attacker by using robust watermark detection algorithms.

LLM 127

LLM Computer Scientist Artificial Intelligence Artificial Intelligence 127

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 Scientist 52

Viso.ai

MARCH 26, 2024

In this article, we present 7 key applications of computer vision in finance: No.1: 4: Algorithmic Trading and Market Analysis No.5: Privacy-preserving Computer Vision with TensorFlow Lite Other significant contributions include works by Andrew Ng. Applications of Computer Vision in Finance No.

Computer Vision 52

Computer Vision Neural Network Machine Learning Convolutional Neural Networks 52

TheSequence

MARCH 10, 2024

We are witnessing glimpses of the potential impact of 'AI for science' with models such as those discovering new computer science and math algorithms, or the famous AlphaFold, which is actively used for discovering new proteins. Can AI help explain the universe? Is AI going to discover everything?

Chatbots 52

Chatbots ML LLM Computer Scientist 52

TheSequence

DECEMBER 13, 2023

At the time, a friend of mine was studying algorithms to estimate the background for proton collisions at the Large Hadron Collider, and one day he showed me a script of TensorFlow code that trained a neural network to classify these events. Who is your favorite mathematician and computer scientist, and why?

LLM 64

LLM Natural Language Processing Machine Learning Deep Learning 64

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. All the rage was about algorithms for classification. Principal Component Analysis as a game —  EigenGame ? .

Neural Network 52

Neural Network Data Science AI AI 52

Heartbeat

DECEMBER 8, 2023

This includes cleaning and transforming data, performing calculations, or applying machine learning algorithms. 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 Hinton is viewed as a leading figure in the deep learning community.

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 Algorithm 52

Flipboard

AUGUST 1, 2023

Algorithmic bias : In part because they draw upon datasets that inevitably reflect stereotypes and biases in humans’ writing, legal decisions, photography, and more, AI systems have often exhibited biases with the potential to harm women, people of color , and other marginalized groups.

Explainability 123

Explainability Artificial Intelligence Artificial Intelligence AI 123