Pragnakalp

JANUARY 3, 2024

The research paper, titled “Deep Learning Applications and Challenges in Big Data Analytics,” is available at the link below. Q: What is the most important skill for a computer scientist? The Contrastive Divergence algorithm is used to train the Boltzmann machine. Q: What is the RBMs?

Deep Learning 52

Deep Learning Algorithm Big Data Computer Scientist 52

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

Pickl AI

OCTOBER 2, 2024

Techniques such as Machine Learning and Deep Learning enable better variant interpretation, disease prediction, and personalised medicine. In Genomic Analysis, Machine Learning can be used for tasks such as variant classification, disease prediction, and biomarker discovery.

Neural Network 52

Neural Network Deep Learning Machine Learning Artificial Intelligence 52

Viso.ai

OCTOBER 17, 2024

John Hopfield is a physicist with contributions to machine learning and AI, Geoffrey Hinton, often considered the godfather of AI, is the computer scientist whom we can thank for the current advancements in AI. Hopfield’s work laid the foundation for further advancements in neural networks, especially in deep learning.

Neural Network 52

Neural Network Deep Learning Machine Learning Computer Vision 52

Viso.ai

JANUARY 24, 2025

Complex Training Process Deep Learning Large-scale datasets must be available for AGI system training. AGI systems can learn from a variety of contexts thanks to these datasets’ varied and representative instances. But the datasets (the entire Internet) are massive. Consider a system that determines credit suitability.

Convolutional Neural Networks 59

Convolutional Neural Networks Neural Network Deep Learning Large Language Models 59

Viso.ai

MARCH 26, 2024

Initially, AI’s role in finance was limited to basic computational tasks. With advancements in machine learning (ML) and deep learning (DL), AI has begun to significantly influence financial operations. In this article, we present 7 key applications of computer vision in finance: No.1:

Computer Vision 52

Computer Vision Neural Network Machine Learning Convolutional Neural Networks 52

Heartbeat

DECEMBER 8, 2023

This includes cleaning and transforming data, performing calculations, or applying machine learning algorithms. Action: duckduckgo_search Action Input: "Chief AI Scientist Meta AI" Observation: At the same panel, Yann LeCun, chief AI scientist at Facebook parent Meta, was asked about the current limitations of AI.

Convolutional Neural Networks 52

Convolutional Neural Networks Neural Network Deep Learning LLM 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

Topbots

MARCH 2, 2023

And, as any scientist or engineer of the past 200 years will tell you, understanding these patterns is the first step toward being able to exploit them.” [6] 6] ML, as Wilson had anticipated it, became the best tool in history for mathematical manipulation through the use of algorithms for pattern recognition.

Generative AI 52

Generative AI Explainability Algorithm ML 52

Viso.ai

DECEMBER 21, 2023

Over the past decade, the field of computer vision has experienced monumental artificial intelligence (AI) breakthroughs. Andrej Karpathy: Tesla’s Renowned Computer Scientist Andrej Karpathy, holding a Ph.D. Kaiming He is the creator behind ResNet, one of the most used deep learning architectures of all time.

Convolutional Neural Networks 52

Convolutional Neural Networks Neural Network Computer Vision Deep Learning 52

NVIDIA

DECEMBER 5, 2024

This convergence of quantum computing, supercomputing and AI into accelerated quantum supercomputers will drive progress in realizing quantum applications for solving complex problems across various fields, including drug discovery, materials development and logistics.

Generative AI 107

Generative AI Robotics AI AI 107