IBM Journey to AI blog

JULY 6, 2023

Machine learning works on a known problem with tools and techniques, creating algorithms that let a machine learn from data through experience and with minimal human intervention. IBM computer scientist Arthur Samuel coined the phrase “machine learning” in 1952. This led to the theory and development of AI.

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ODSC - Open Data Science

JUNE 30, 2023

In a report by The Times of Israel, archaeologists and computer scientists hope this program can assist in cuneiform interpretation. Gutherz continued, “ I can just use the algorithm to understand and discover what the past has to say.” As that program also utilizes Neural machine transition.

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IBM Journey to AI blog

SEPTEMBER 3, 2024

The tool uses deep neural network models to spot fake AI audio in videos playing in your browser. With deepfake detection tech evolving at such a rapid pace, it’s important to keep potential algorithmic biases in mind. It’s why algorithmic bias is such a persistent problem in the LLMs that train on this data.

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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.

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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. Both John Hopfield and Geoffrey Hinton conducted foundational research on artificial neural networks (ANNs).

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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.

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Dlabs.ai

MARCH 17, 2021

We think it’s someone even more interesting: Yann LeCun, Chief AI Scientist at Facebook. Yann is a computer scientist working primarily in machine learning, computer vision, mobile robotics, and computational neuroscience. Geoffrey Hinton Twitter Geoffrey is a cognitive psychologist and computer scientist.

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Viso.ai

MARCH 26, 2024

Arguably, one of the most pivotal breakthroughs is the application of Convolutional Neural Networks (CNNs) to financial processes. This drastically enhanced the capabilities of computer vision systems to recognize patterns far beyond the capability of humans. 4: Algorithmic Trading and Market Analysis No.5:

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Pickl AI

OCTOBER 2, 2024

Some of the most prominent AI techniques used in this field include: Machine Learning Machine Learning algorithms are designed to learn from data and make predictions or decisions based on that data. Recurrent Neural Networks (RNNs): Suitable for sequential Data Analysis like DNA sequences where the order of nucleotides matters.

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Viso.ai

JANUARY 24, 2025

Architecture of LeNet5 – Convolutional Neural Network – Source The capacity of AGI to generalize and adapt across a broad range of tasks and domains is one of its primary features. The algorithm might consider “not offering credit to the young population” appropriate based on historical patterns.

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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.

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Pragnakalp

JANUARY 3, 2024

Q: What is the most important skill for a computer scientist? Additionally, the ability to work with high-dimensional data, distributed data sources, and scalable algorithms is essential in the field of Big Data Analytics. The Contrastive Divergence algorithm is used to train the Boltzmann machine. Q: What is the RBMs?

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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. ‍♀️ Data generation as a game —  Generative Adversarial Networks ? This cat does not exist.

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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?

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Pickl AI

JUNE 19, 2023

Students study neural networks, the processing of signals and control, and data mining throughout the school’s curriculum. This course’s curriculum lays an intense focus on teaching a diverse set of programming dialects and technologies that are required for creating AI systems and algorithms.

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Snorkel AI

MAY 18, 2023

So my group here at Stanford develops machine learning algorithms for biomedical and healthcare applications. We’re very interested in both developing these algorithms and also in deploying them into practice. We’ve also developed algorithms using machine learning to improve the clinical trial design process.

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Snorkel AI

MAY 18, 2023

So my group here at Stanford develops machine learning algorithms for biomedical and healthcare applications. We’re very interested in both developing these algorithms and also in deploying them into practice. We’ve also developed algorithms using machine learning to improve the clinical trial design process.

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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. Here, he leveraged convolutional neural networks for pattern recognition and object detection.

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NVIDIA

DECEMBER 5, 2024

These advancements will be driven by the refinement of algorithms and datasets and enterprises’ acknowledgment that AI needs a face and a voice to matter to 8 billion people. Rapid advances in AI are making image and video outputs much more photorealistic, while AI-generated voices are losing that robotic feel.

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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.

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