Unite.AI

OCTOBER 2, 2023

most consumers describe the perception of benzaldehyde as “cherry”, but most consumers in Europe describe it as “marzipan”…even in the same wine. An e-commerce site, or big box retailer, can launch the Tastry Quiz on the app, and have thousands of responses within hours from consumers across the U.S. For example, in the U.S.

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AWS Machine Learning Blog

NOVEMBER 15, 2023

Visual prompts can include bounding boxes or masks that guide vision models in generating relevant and accurate outputs. The model allows for visual prompt engineering, enabling you to provide inputs such as text, points, bounding boxes, or masks to generate labels without altering the original image.

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Marktechpost

MARCH 30, 2024

A Visionary Leap Pollen-Vision’s essence lies in its revolutionary approach to visual perception in robotics. These include: OWL-VIT (Open World Localization – Vision Transformer by Google Research): A model that excels in text-conditioned zero-shot 2D object localization, generating bounding boxes for identified objects.

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Marktechpost

SEPTEMBER 1, 2023

Interpreting deep learning models has consistently posed a challenge due to their black-box nature, limiting their usability in critical decision-making contexts. It reshapes our perception of deep neural networks from opaque black boxes to organized systems driven by a predictable and geometrically structured process.

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Marktechpost

OCTOBER 8, 2023

The brain processes information in parallel, with different regions and networks simultaneously working on various aspects of perception, cognition, and motor control. The NDP neural network can also be trained with any black-box optimization algorithm to satisfy any objective function.

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Towards AI

AUGUST 9, 2023

Meanwhile, large vision models, like SAM, achieved the same level of progress in perception as LLMs in textual reasoning. Photo by Anne Nygård on Unsplash Marrying LLMs with perceptional reasoning capability is moving towards an emerging field called MLLM. In contrast to MiniGPT-4, Liu et al. [11]

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ODSC - Open Data Science

NOVEMBER 30, 2023

XAI coincides with white-box models, which detail the results the algorithms have. Most commercially available AI tools are black-box, meaning they do not cite what they generate or make it easy for data scientists to discover where the AI-derived information. What Is Explainable AI? What Do Healthcare Professionals Gain From XAI?

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Marktechpost

DECEMBER 25, 2023

Their evolution marks a significant stride in AI’s capabilities, bridging the gap between visual perception and language comprehension. Most existing models are proficient in interpreting images at a broader, more general level, using image-level or box-level understanding.

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AWS Machine Learning Blog

NOVEMBER 6, 2023

The streaming capability in SageMaker JumpStart can help you build applications with better user experience by creating a perception of low latency to the end-user. Streaming can help enable a better user experience because it decreases the latency perception for the end-user.

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ODSC - Open Data Science

APRIL 4, 2023

These models require substantial amounts of data, and many organizations use “black box” models where they’re unsure of how the system uses the information they give it. Users may not understand how these systems work and it can be difficult to figure out, especially with black-box AI.

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AI News

MAY 15, 2023

The overall trend that we see now is that machine learning and AI are essentially becoming the industry standard for solving complex problems that require knowledge, computation, perception, reasoning and decision-making. So the perception has changed. And we see that in many industries, including healthcare, finance and retail.

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Viso.ai

MARCH 19, 2024

It leverages DINO (Distilled Knowledge from Internet pre-trained mOdels), to interpret free-form text and generate precise bounding boxes and labels for objects within images. It thereby effectively bridges the gap between language and visual perception. Vision Transformers (ViTs) form the backbone of this model.

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Unite.AI

FEBRUARY 26, 2024

In this article, we will be talking about Mobile-Agents, an autonomous multi-modal device agent that first leverages the ability of visual perception tools to identify and locate the visual and textual elements with a mobile application’s front-end interface accurately. It methodically plans each step and engages in introspection.

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Large Language Models Metadata Natural Language Processing Categorization 214

Snorkel AI

JULY 6, 2023

Nyla Worker, product manager at NVIDIA gave a presentation entitled “Leveraging Synthetic Data to Train Perception Models Using NVIDIA Omniverse Replicator” at Snorkel AI’s The Future of Data-Centric AI virtual conference in August 2022. We are able to get semantic segmentation, instance segmentation, depth, 3D bounding boxes, and so on.

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Snorkel AI

JULY 6, 2023

Nyla Worker, product manager at NVIDIA gave a presentation entitled “Leveraging Synthetic Data to Train Perception Models Using NVIDIA Omniverse Replicator” at Snorkel AI’s The Future of Data-Centric AI virtual conference in August 2022. We are able to get semantic segmentation, instance segmentation, depth, 3D bounding boxes, and so on.

AI 59

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Marktechpost

JULY 2, 2023

However, the precise mechanisms behind these processes remain elusive, resulting in a black-box model. It is known that, similar to the human brain, AI systems employ strategies for analyzing and categorizing images. With the potential to tackle unresolved challenges such as cancer diagnostics, fossil recognition, etc.,

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Towards AI

JULY 18, 2023

It’s almost like we’ve never encountered the lore of Pandora’s Box before. Competitive advantage can also be obtained by manipulating users’ perceptions about products and companies alike. But I digress — let’s get back to e-commerce first. And guess what? Unethical practices or even just rumors can get you canceled overnight.

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Viso.ai

MARCH 6, 2024

It is quite significant in medical imaging since it creates more acceptable images for human visual perception. It stores the last known bounding boxes, then has a new set of bounding boxes, and then minimizes the maximum distance between objects that match. An example of such an algorithm is the centroid tracker.

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Google Research AI blog

APRIL 6, 2023

This perception of co-presence is created by representing users in 3D at natural scale, enabling eye contact, and providing spatially accurate audio. The video above illustrates how a hypothetical participant's eye tracking data ( red dot ) correspond to their meeting partner's face ( white box ).

Explainability 93

Explainability 93

Robot Writers AI

JULY 9, 2023

The AI writing engine is generally extremely perceptive about what you’re looking for. AI ‘Content Factories-in-a-Box’ for Businesses — Now a Thing: Telegraphing a growing trend in AI content creation, Typeface just snared $100 million to produce more ‘Content Factories-in-Box’ for businesses.

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Pickl AI

JULY 12, 2023

It has enabled in raising questions on boundaries between perception and reality and encourages contemplation of the role of data, information and technology in shaping human lives. It has a great impact on the popular culture known especially for its visual effects and thought-provoking storytelling.

Data Science 52

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AWS Machine Learning Blog

APRIL 27, 2023

Correction – Annotators are provided with a free-form text box pre-filled with the model-generated answer and explanation, and asked to edit it to obtain the correct answer and explanation. This task was added after a pilot where we found that adding this task helps prepare the annotators and improve the quality of the rest of the tasks.

Machine Learning 65

Machine Learning Large Language Models Categorization Natural Language Processing 65

Unite.AI

APRIL 17, 2024

The Perception Module The perception module in an LLM-based agent is like the senses humans have. Moreover, the perception module is competent at understanding user questions, considering context, intent, and different ways of asking the same thing. It helps the agent be aware of its digital environment.

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Heartbeat

SEPTEMBER 20, 2023

This involves determining the precise bounding boxes that enclose the detected objects within the image. Localization is typically achieved by regressing the coordinates of the object's bounding box relative to the image dimensions. In addition to classification, object detection algorithms also perform localization.

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Marktechpost

NOVEMBER 13, 2023

More precise perception models may then be trained using these auto-labeled datasets. This issue setting is also known as offboard perception, which does not have real-time limitations and, in contrast to onboard perception, has access to future observations. As seen in Fig.

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Dlabs.ai

DECEMBER 6, 2023

Caring for Image and Customer Acquisition: Negative reviews can significantly affect your company’s perception and the acquisition of new customers. Out-the-box solutions don’t always meet a business’s needs. BrightLocal reports that up to 76% of consumers regularly read online reviews.

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AI News

SEPTEMBER 26, 2023

With CustomerAI, brands can expand their perception of customer data, activate it more extensively, and be better informed by a deeper understanding of their customers. Tools like Predictions put marketers at the centre of this new era of AI which is transforming how companies engage and retain their customers.” – Chris Koehler, CMO at Box.

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Heartbeat

MARCH 5, 2024

It seeks to mimic perception and comprehension of the visual world by the human Toem. This involves drawing bounding boxes around objects and classifying them. Computer vision's primary goal is to extract meaningful information from visual input to make decisions or take actions in response to the information.

Computer Vision 52

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Marktechpost

NOVEMBER 29, 2023

Research states computations converting auditory data into linguistic representations are involved in voice perception. Due to environmental circumstances and changing auditory signals for linguistic perceptual units, natural speech perception is a difficult undertaking.

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John Snow Labs

DECEMBER 26, 2023

Sentiment analysis can uncover the underlying sentiments that impact people’s perceptions and decisions by utilizing different NLP and machine learning approaches. For instance, a developer can assess the accuracy, robustness, and bias of a sentiment analysis model by applying LangTest’s suite of 50+ out-of-the-box tests. !pip

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AWS Machine Learning Blog

MAY 2, 2024

Challenges with out-of-the-box LLMs Out-of-the-box LLMs provide high accuracy, but often lack customization for an organization’s specific needs and end-users. Any human being who is asked to judge the color of the following boxes would confirm that the left one is a white box and right one is a black box.

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ODSC - Open Data Science

AUGUST 18, 2023

The Ethics of AI Autonomy: Artificial Intelligence’s march toward autonomy opens an intriguing Pandora’s box of ethical considerations. AI rights are intrinsically connected to the perception of AI autonomy. The crux of these deliberations lies in the way we perceive and interact with these increasingly sophisticated entities.

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Unite.AI

MARCH 7, 2024

This lawsuit opens a pandora's box of questions and concerns regarding the ethical development of AI. This revelation aims to recalibrate the perception of Musk's influence on the organization's development and success.

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Pickl AI

DECEMBER 4, 2023

Social Media Analytics Analyses sentiment and improves brand perception Handling unstructured data. The data related to salary has been taken from Glassdoor and Ambition box. Customer Segmentation Enhances personalised marketing strategies Balancing privacy concerns with targeted marketing.

Data Analysis 52

Data Analysis Data Quality Artificial Intelligence Artificial Intelligence 52

AWS Machine Learning Blog

FEBRUARY 9, 2023

In the following code snippet, we first define an AreaOfInterest (AOI) with a bounding box around the Lake Mead area. Before that, he was with the perception team at Uber ATG and the machine learning platform team at Uber working on machine learning for autonomous driving, machine learning systems and strategic initiatives of AI.

Machine Learning 55

Machine Learning ML Deep Learning Robotics 55

Ines Montani

MARCH 8, 2017

It sets high expectations, but reveals very little and perpetuates the stereotype of AI as a magical black box. The way we communicate is powerful, because it shapes our perception of the world. I think there’s actually a very simple reason for why this has been so popular. It sells well.

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Robotics AI AI Machine Learning 52

IBM Journey to AI blog

JANUARY 10, 2024

For example, learning, reasoning, problem-solving, perception, language understanding and more. They often work like “black boxes,” where the input and output are known, but the process the model uses to get from one to the other is unclear. What are the pros and cons of AI (compared to traditional computing)?

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