NVIDIA

NOVEMBER 25, 2024

A team of generative AI researchers created a Swiss Army knife for sound, one that allows users to control the audio output simply using text. While some AI models can compose a song or modify a voice, none have the dexterity of the new offering. Whatever users can describe, the model can create.

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Unite.AI

DECEMBER 20, 2023

Recent advancements in AI emphasize the need for improved reproducibility due to the rapid pace of innovation and the complexity of AI models. Multiple factors contribute to the reproducibility crisis in AI research.

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Marktechpost

SEPTEMBER 14, 2023

Machine learning models have become indispensable tools in various professional fields, driving applications in smartphones, software packages, and online services. However, the complexity of these models has rendered their underlying processes and predictions increasingly opaque, even to seasoned computer scientists.

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NVIDIA

JANUARY 29, 2024

A team of 10 researchers are working on the project, funded in part by an NVIDIA Academic Hardware Grant , including engineers, computer scientists, orthopedic surgeons, radiologists and software developers. DGX enabled advanced computations on more than 20 years’ worth of historical data for our fine-tuned clinical AI model.”

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IBM Journey to AI blog

JUNE 3, 2024

Transistors help comprise the CPU, and they’re what makes the binary language of 0s and 1s that computers use to interpret Boolean logic. The next wave of CPUs Computer scientists are always working to increase the output and functionality of CPUs. Its WSE-3 chip can train AI models with as many as 24 trillion parameters.

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IBM Journey to AI blog

APRIL 18, 2024

Most experts categorize it as a powerful, but narrow AI model. Current AI advancements demonstrate impressive capabilities in specific areas. A key trend is the adoption of multiple models in production. This multi-model approach uses multiple AI models together to combine their strengths and improve the overall output.

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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. MLOps and IBM Watsonx.ai

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Ehud Reiter

MARCH 25, 2024

Anyways, a few weeks ago we had a workshop where computer scientists, clinicians, patients, and other interested parties discussed related topics, including some work of one of my students, Mengzuan Sun, is doing on using chatGPT (GPT4) to explain complex medical notes to patients ( blog ).

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Marktechpost

SEPTEMBER 16, 2023

This means recognizing how social and historical factors influence data collection and clinical AI development. Computer scientists may not fully grasp the social and historical aspects behind the data they use, so collaboration is essential to make AI models work well for all groups in healthcare.

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NVIDIA

OCTOBER 8, 2024

The latest AI-accelerated tools — on display at the NVIDIA AI Summit taking place this week in Washington, D.C. include NVIDIA NIM , a collection of cloud-native microservices that support AI model deployment and execution, and NVIDIA NIM Agent Blueprints , a catalog of pretrained, customizable workflows.

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NVIDIA

MAY 12, 2024

Only computer scientists care how many of these low-level jobs their system can handle. For example, the last MLPerf round added tests using two generative AI models that didn’t even exist five years ago. A Gauge for Accelerated Computing Ideally, any new benchmarks should measure advances in accelerated computing.

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Computer Scientist Generative AI AI Modeling AI 116

IBM Journey to AI blog

JULY 6, 2023

This led to the theory and development of AI. 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. He wrote a checkers-playing program that same year.

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IBM Journey to AI blog

SEPTEMBER 3, 2024

And using AI ethically isn’t just the right thing for businesses to do—it’s also something consumers want. In fact, 86% of businesses believe customers prefer companies that use ethical guidelines and are clear about how they use their data and AI models, according to the IBM Global AI Adoption Index.

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Towards AI

FEBRUARY 15, 2023

Announcing the launch of the Medical AI Research Center (MedARC) Medical AI Research Center (MedARC) announced a new open and collaborative research center dedicated to advancing the field of AI in healthcare. This article delves into the details of these emerging approaches and their potential impact on AI development.

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Large Language Models Prompt Engineer Prompt Engineering AI Chatbots 77

Flipboard

JUNE 11, 2023

ChatGPT, by itself, is just a natural-language interface for the underlying GPT-3 (and now GPT-4 ) language model. But what’s key is that it is a descendant of GPT-3, as is Codex, OpenAI’s AI model that translates natural language to code. This same model powers GitHub Copilot, which is used even by professional programmers.

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TheSequence

AUGUST 14, 2024

Bio: Emad Mostaque is widely recognized as one of the leaders in the open-source generative AI movement. He is the former CEO of Stability AI, the company behind Stable Diffusion and numerous open-source generative AI models across different modalities. Why do you believe this time will be different?

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Pickl AI

DECEMBER 26, 2024

This blog explores the relationship between AI and Quantum Computing, their individual capabilities, and the transformative potential they hold when combined. Key Takeaways Quantum Computing significantly accelerates AI model training and data processing times.

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TheSequence

JANUARY 10, 2024

Open-source models will continue to thrive in environments that value collaboration and transparency, while closed-source models will find favor in sectors requiring bespoke solutions and high levels of service. Who is your favorite mathematician or computer scientist, and why?

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Pickl AI

OCTOBER 2, 2024

Disease Prediction and Diagnosis AI models can analyse genomic data alongside clinical information to predict disease susceptibility or progression. Tools like ClinVar and VarSome leverage Machine Learning to predict whether a variant is likely harmful or benign by analysing existing databases and literature.

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Pickl AI

OCTOBER 9, 2024

This blog explores the innovations in AI driven by SLMs, their applications, advantages, challenges, and future potential. What Are Small Language Models (SLMs)? Small Language Models (SLMs) are a subset of AI models specifically tailored for Natural Language Processing (NLP) tasks.

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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.

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Snorkel AI

MAY 18, 2023

And when we looked deeper into this, we discovered that there are very few dark-skinned images in the original training of test datasets for these models. Now in related work, we also performed similar kinds of audits for many other medical AI systems that were approved by the FDA.

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Snorkel AI

MAY 18, 2023

And when we looked deeper into this, we discovered that there are very few dark-skinned images in the original training of test datasets for these models. Now in related work, we also performed similar kinds of audits for many other medical AI systems that were approved by the FDA.

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AI Impacts

DECEMBER 18, 2023

Korotkiy ) 1951-present: Computer scientists consider whether a sufficiently powerful misaligned AI system will escape containment and end life on Earth. Foundational computer scientist Alan Turing in 1951. The message will arrive at its destination in 2029. Photo by S.

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Marktechpost

JULY 2, 2023

This innovative tool aims to discern the “what” and “where” an AI model focuses on during the decision-making process, thereby emphasizing the disparities in how the human brain and a computer vision system comprehend visual information.

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Google Research AI blog

APRIL 7, 2023

This forum provided an opportunity for hydrologists, computer scientists, and aid workers to discuss challenges and efforts toward improving global flood forecasts, to keep up with state-of-the-art technology advances, and to integrate domain knowledge into ML-based forecasting approaches.

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NVIDIA

DECEMBER 5, 2024

Now, hear from company experts driving innovation in AI across enterprises, research and the startup ecosystem: IAN BUCK Vice President of Hyperscale and HPC Inference drives the AI charge: As AI models grow in size and complexity, the demand for efficient inference solutions will increase.

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Viso.ai

DECEMBER 21, 2023

Andrej Karpathy: Tesla’s Renowned Computer Scientist Andrej Karpathy, holding a Ph.D. from Stanford, has made substantial contributions to three of the world’s leading AI projects. Thus, positioning him as one of the top AI influencers in the world.

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Convolutional Neural Networks Neural Network Computer Vision Deep Learning 52

Flipboard

AUGUST 1, 2023

A future rogue AI with sufficiently high capabilities, that humans cannot shut down or coerce into following a safe goal, would pose a high risk of harming humans, even if such harm is merely incidental to its ultimate goal. The idea of licensing for AI has taken off in recent months, with support from some in industry.

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