Unite.AI

JULY 25, 2023

Production-deployed AI models need a robust and continuous performance evaluation mechanism. This is where an AI feedback loop can be applied to ensure consistent model performance. But, with the meteoric rise of Generative AI , AI model training has become anomalous and error-prone.

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Marktechpost

JUNE 6, 2023

The rise of antibiotic-resistant bacteria necessitates the development of new antibiotics, and the use of AI in drug discovery holds great promise. The researchers employed a machine-learning algorithm to evaluate nearly 7,000 chemical compounds and identify a potential drug that inhibits the growth of Acinetobacter baumannii.

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Unite.AI

FEBRUARY 28, 2024

These models employ sophisticated algorithms to identify patterns and anomalies in climate data for predictions on future climate conditions and rising sea levels. These applications underscore AI’s potential as a powerful tool to combat environmental challenges.

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Unite.AI

OCTOBER 23, 2023

In a world where technology is ever-evolving, NVIDIA once again demonstrates its prowess with a groundbreaking advancement: the Eureka AI agent. This cutting-edge tool isn't just any AI model – it’s transforming the realm of robotics, equipping them with the capacity to master intricate tasks that were once deemed too complex.

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AI Weekly

APRIL 25, 2024

[Download now] rws.com In The News Adobe unveils AI features for Photoshop — but not everyone is happy about it Adobe has new generative AI features for rookie Photoshop users, but there are concerns from creative professionals. Maybe, but customer service will always require a human touch.

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Marktechpost

JULY 24, 2023

Generative AI models are now a part of our daily lives. With all these models like MidJourney, StableDiffusion, and DALL-E, generating the image you have in your mind has never been easier. The 3D generations are becoming more realistic, yes, but they still lag way behind the 2D generative models.

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Unite.AI

MAY 3, 2024

Essentially, anyone practising cognitive neuroscience research needs to have a strong grasp of research methodologies and a good understanding of how people think and behave. These two aspects are crucial and can be combined to develop and run high-quality AI research as well.

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AI Weekly

SEPTEMBER 21, 2023

pitneybowes.com In The News How Google taught AI to doubt itself Today let’s talk about an advance in Bard, Google’s answer to ChatGPT, and how it addresses one of the most pressing problems with today’s chatbots: their tendency to make things up. [Get your FREE eBook.] Get your FREE eBook.] You can also subscribe via email.

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AI Weekly

APRIL 11, 2024

And this is particularly true for accounts payable (AP) programs, where AI, coupled with advancements in deep learning, computer vision and natural language processing (NLP), is helping drive increased efficiency, accuracy and cost savings for businesses. AI’s dark side explained We live in a world where anything seems possible with AI.

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Marktechpost

JULY 8, 2023

In response to these concerns, the research community has been actively exploring methods and techniques to develop facial privacy protection algorithms that can safeguard individuals against the potential risks associated with face recognition systems.

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Unite.AI

MARCH 24, 2024

It involves an AI model capable of absorbing instructions, performing the described tasks, and then conversing with a ‘sister' AI to relay the process in linguistic terms, enabling replication. The UNIGE team’s breakthrough goes beyond mere task execution and into advanced human-like language generalization.

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Marktechpost

MARCH 4, 2024

These models are pivotal in automating complex tasks, processing large volumes of data, and generating human-like text, making them a cornerstone of modern AI research and development. Earlier models have struggled to balance speed, cost, and intelligence, often excelling in one area at the expense of others.

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Marktechpost

JUNE 21, 2023

Developed by a team of researchers from Google DeepMind, VGG, Department of Engineering Science, and the University of Oxford, the algorithm behind the TAPIR model consists of two stages – a matching stage and a refinement stage. Check Out The Paper and Project.

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AI News

JUNE 28, 2023

Databricks has announced its definitive agreement to acquire MosaicML , a pioneer in large language models (LLMs). This strategic move aims to make generative AI accessible to organisations of all sizes, allowing them to develop, possess, and safeguard their own generative AI models using their own data.

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Marktechpost

APRIL 19, 2024

Researchers frequently depend on simulated datasets that may not fully capture the complexities of natural environments, potentially skewing the effectiveness of these methods when applied outside laboratory settings. Practically, the chambers have demonstrated their utility across several AI domains.

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Marktechpost

JANUARY 3, 2024

A team of researchers from the University of Georgia and Mayo Clinic explored how well powerful computer algorithms, known as Large Language Models (LLMs), understand and solve biology-related questions. Their research found that OpenAI’s GPT-4 performed better than similar AI models regarding reasoning about biology.

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Marktechpost

JUNE 22, 2023

One of the most groundbreaking and revolutionary works in this domain refers to state-of-the-art generative models called diffusion models. These models have completely transformed how textual descriptions can be used to generate high-quality images by harnessing the power of deep learning algorithms.

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Topbots

OCTOBER 4, 2023

Generated with Bing and edited with Photoshop Predictive AI has been driving companies’ ROI for decades through advanced recommendation algorithms, risk assessment models, and fraud detection tools. However, the recent surge in generative AI has made it the new hot topic. sales volume) and binary variables (e.g.,

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AI Weekly

OCTOBER 19, 2023

clkmg.com In The News The BBC is blocking OpenAI data scraping The BBC, the UK’s largest news organization, laid out principles it plans to follow as it evaluates the use of generative AI — including for research and production of journalism, archival, and “personalized experiences.”

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AI News

MARCH 25, 2024

By using key neuroscience principles and applying them to AI and mathematics, Stanhope AI is at the forefront of the new generation of AI technology known as ‘agentic’ AI. In the long term, the technology holds huge promise in the realms of manufacturing, industrial robotics and embodied AI.

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AI Weekly

DECEMBER 28, 2023

nytimes.com The AI Trend In Crypto: Best Altcoins And Deep Learning Models The partnership emphasizes generative AI and content recommendation, enabling large-scale, privacy-preserving collaborative training of AI models and the deployment of AI models for personalized content recommendations.

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AI Weekly

JUNE 22, 2023

Powered by elevateai.com In the News Marvel faces backlash over AI-generated opening credits Marvel’s Secret Invasion, a new television series which launched on Disney+ this week, has received backlash online after it was revealed that its opening credits were generated by aAI. gizchina.com AI in Packaging Market is expected to hit US$ 6,015.6

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Marktechpost

JULY 20, 2023

Mojo’s computing performance exceeds that of Python because of its ability to access AI computing hardware directly. It can be 35,000 times faster than Python while executing algorithms like Mandelbrot. It combines features of Python and C and enables unparalleled programmability of AI hardware and extensibility of AI models.

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Marktechpost

JULY 12, 2023

In the future, they want to implement improved sampling algorithms, tournament procedures, and serving systems to accommodate a greater variety of models and supply granular ranks for various tasks. Check out the Paper , Code , and Project.

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Marktechpost

DECEMBER 16, 2023

A custom-trained natural language processing (NLP) algorithm, X-Raydar-NLP, labeled the chest X-rays using a taxonomy of 37 findings extracted from the reports. An NLP algorithm, X-Raydar-NLP, was trained on 23,230 manually annotated reports to extract labels. All credit for this research goes to the researchers of this project.

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Marktechpost

FEBRUARY 4, 2024

Meta-learning, a burgeoning field in AI research, has made significant strides in training neural networks to adapt swiftly to new tasks with minimal data. Such varied exposure aims to develop universal capabilities in AI systems, an essential step toward the grand vision of artificial general intelligence (AGI).

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Marktechpost

AUGUST 27, 2023

Researchers trained the model and improved the Artificial Intelligence algorithms that the system used improving the accuracy of the system. This also involved iterating different phrases again and again and using a bag-of-words model of NLP in the system. This would be the next version of this model.

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Marktechpost

JULY 3, 2023

Moreover, AVs require a large amount of reliable sensor data for training, and using generative AI models, synthetic data that is representative of real-world situations can be generated, thereby eliminating the need for costly and time-consuming field tests.

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Marktechpost

JUNE 12, 2023

The theoretical analysis focuses on the possibility of AI-generated text in terms of true positive rate (TPR) and false positive rate (FPR), which adds an orthogonal perspective to the current debate on detectability. The effectiveness of the algorithms is validated using the five most advanced LLMs on five datasets.

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Marktechpost

OCTOBER 26, 2023

Facebook AI Research (FAIR) is dedicated to advancing the field of socially intelligent robotics. The HomeRobot platform offers an affordable home robot assistant for open vocabulary tasks in simulated and physical-world environments, thereby accelerating the development of AI agents that can assist humans. Habitat 3.0

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ODSC - Open Data Science

DECEMBER 14, 2023

Photo Mosaics with Nearest Neighbors: Machine Learning for Digital Art In this post, we focus on a color-matching strategy that is of particular interest to a data science or machine learning audience because it utilizes a K-nearest neighbors (KNN) modeling approach. GPU, and more AI research papers.

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Marktechpost

JULY 2, 2023

One of their primary contributions is the Frozen Retrieval Over Multimodal Data for Autoregressive Generation (FROMAGe) model, effectively trained by visually anchoring LLMs through picture captioning and contrastive learning. Their method is more accurate on lengthy and complicated free-form text than previous models.

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Large Language Models AI Modeling LLM AI 52

Marktechpost

OCTOBER 8, 2023

The researchers emphasize that this approach of explainability examines an AI’s full prediction process from input to output. The research group has already created techniques for using heat maps to demonstrate how AI algorithms make judgments. Join our AI Channel on Whatsapp. We are also on WhatsApp.

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Marktechpost

MAY 9, 2024

As renewable energy sources like solar & wind are inherently intermittent, AI’s ability to predict energy outputs and manage supply-demand balance is crucial. It utilizes complex algorithms to forecast weather conditions, adjust energy production, and even anticipate energy consumption patterns.

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Marktechpost

JULY 14, 2023

However, as Mithril Security’s latest LLM-powered penetration test shows, adopting the newest algorithms can also have significant security implications. Researchers from Mithril Security, a corporate security platform, discovered they could poison a typical LLM supply chain by uploading a modified LLM to Hugging Face.

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Towards AI

MARCH 20, 2023

Last Updated on March 20, 2023 by Editorial Team Source: Unsplash Top of the most common questions in generative AI answered TL;DR: Buckle up for an exciting ride through the world of Generative AI! What are the most popular generative AI models? What is the history and evolution of generative AI?

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IBM Journey to AI blog

APRIL 18, 2024

While these large language model (LLM) technologies might seem like it sometimes, it’s important to understand that they are not the thinking machines promised by science fiction. Achieving these feats is accomplished through a combination of sophisticated algorithms, natural language processing (NLP) and computer science principles.

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