Sun.Nov 12, 2023

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What is Noise in Image Processing? – A Primer

Unite.AI

If you’ve ever seen a picture where you notice dust particles that are not part of the actual image, you’re probably seeing ‘noise’ in the image. There are many technical reasons for why this happens. It often obscures the actual image and is the leading cause of image quality degradation in digital image transmission. This is where image processing offers a robust solution.

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Why the Godfather of A.I. Fears What He’s Built

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Geoffrey Hinton has spent a lifetime teaching computers to learn. Now he worries that artificial brains are better than ours. In your brain, neurons are arranged in networks big and small.

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Google AI Introduces AltUp (Alternating Updates): An Artificial Intelligence Method that Takes Advantage of Increasing Scale in Transformer Networks without Increasing the Computation Cost

Marktechpost

In deep learning, Transformer neural networks have garnered significant attention for their effectiveness in various domains, especially in natural language processing and emerging applications like computer vision, robotics, and autonomous driving. However, while enhancing performance, the ever-increasing scale of these models brings about a substantial rise in compute cost and inference latency.

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4 futuristic things the Humane Ai Pin can do as a smartphone alternative

Flipboard

Let's take a peek at the so-called 'smartphone killer.' The Humane Ai Pin finally debuted on Thursday, giving the public its first in-depth look at the screenless AI wearable that wants to replace the smartphone.

AI 181
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The Ultimate Blueprint for an AI-First Contact Center

Start building the AI workforce of the future with our comprehensive guide to creating an AI-first contact center. Learn how Conversational and Generative AI can transform traditional operations into scalable, efficient, and customer-centric experiences. What is AI-First? Transition from outdated, human-first strategies to an AI-driven approach that enhances customer engagement and operational efficiency.

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Google DeepMind Researchers Propose a Framework for Classifying the Capabilities and Behavior of Artificial General Intelligence (AGI) Models and their Precursors

Marktechpost

The recent development in the fields of Artificial Intelligence (AI) and Machine Learning (ML) models has turned the discussion of Artificial General Intelligence (AGI) into a matter of immediate practical importance. In computing science, Artificial General Intelligence, or AGI, is a crucial idea that refers to an artificial intelligence system that can do a broad range of tasks at least as well as humans.

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This AI Paper Introduces Neural MMO 2.0: Revolutionizing Reinforcement Learning with Flexible Task Systems and Procedural Generation

Marktechpost

Researchers from MIT, CarperAI, and Parametrix.AI introduced Neural MMO 2.0, a massively multi-agent environment for reinforcement learning research, emphasizing a versatile task system enabling users to define diverse objectives and reward signals. The key enhancement involves challenging researchers to train agents capable of generalizing to unseen tasks, maps, and opponents.

AI 133
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No, ChatGPT And Generative AI Won’t Destroy Humanity (But They Could Severely Damage Your Business)

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(This article is part of a series on Artificial Intelligence for Board Members and Senior Executives.

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Researchers from MIT and NVIDIA Developed Two Complementary Techniques that could Dramatically Boost the Speed and Performance of Demanding Machine Learning Tasks

Marktechpost

Researchers from MIT and NVIDIA have formulated two techniques that accelerate the processing of sparse tensors (Tensors serve as fundamental data structures in machine learning models, acting as multi-dimensional arrays that organize and store data). The goal of both new techniques is to take advantage of the tensors zero values effectively. It is possible to handle these tensors without processing the zeros, which saves memory and computation.

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The best AI tools to power your academic research

Flipboard

The future of academia is likely to be transformed by AI language models such as ChatGPT. Here are some other tools worth knowing about.

AI Tools 176
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The Intersection of AI and Sales: Personalization Without Compromise

Speaker: Jesse Hunter and Brynn Chadwick

Today’s buyers expect more than generic outreach–they want relevant, personalized interactions that address their specific needs. For sales teams managing hundreds or thousands of prospects, however, delivering this level of personalization without automation is nearly impossible. The key is integrating AI in a way that enhances customer engagement rather than making it feel robotic.

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Meta Researchers Introduced VR-NeRF: An Advanced End-to-End AI System for High-Fidelity Capture and Rendering of Walkable Spaces in Virtual Reality

Marktechpost

With the advent of affordable virtual reality (VR) technology, there has been significant growth in highly immersive visual media such as realistic VR photography and video. Existing approaches generally fall under the following two categories: High-fidelity view synthesis with a small headbox of diameter less than 1 m restricts the user’s movement to a small area.

AI 129
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Icebergs are melting fast. This AI can track them 10,000 times faster than humans

Flipboard

"It is crucial to locate icebergs and monitor their extent, to quantify how much meltwater they release into the ocean.

AI 175
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A Team of UC Berkeley and Stanford Researchers Introduce S-LoRA: An Artificial Intelligence System Designed for the Scalable Serving of Many LoRA Adapters

Marktechpost

A team of UC Berkeley and Stanford researchers have developed a new parameter-efficient fine-tuning method called Low-Rank Adaptation (LoRA) for deploying LLMs. S-LoRA was designed to enable the efficient deployment of many LoRA adapters. S-LoRA allows thousands of adapters to run on a single GPU or across multiple GPUs with minimal overhead. The method introduces unified paging to optimize GPU memory usage, utilizing novel tensor parallelism and custom CUDA kernels for heterogeneous batch proce

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ChatGPT predicts Solana price for 2024, 2028, 2032 and 2050

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In the ever-evolving landscape of technology, the year 2023 has witnessed an unprecedented surge in the development and application of … Continued

ChatGPT 173
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The New CX: Your Guide to AI Agents

The guide for revolutionizing the customer experience and operational efficiency This eBook serves as your comprehensive guide to: AI Agents for your Business: Discover how AI Agents can handle high-volume, low-complexity tasks, reducing the workload on human agents while providing 24/7 multilingual support. Enhanced Customer Interaction: Learn how the combination of Conversational AI and Generative AI enables AI Agents to offer natural, contextually relevant interactions to improve customer exp

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In-depth Understanding of XGBoost Introduction in Machine Learning

Towards AI

Last Updated on November 13, 2023 by Editorial Team Author(s): Amit Chauhan Originally published on Towards AI. Algorithm to improve the speed and performancePhoto by Alex Chumak on Unsplash What is machine learning? It is a technique to learn patterns from the data and make predictions. The machine learning algorithms implementation is data-based. As with time, we see the evolution of algorithms and some algorithms like SVM, Random Forest, or Gradient Boosting gives better result mostly on ever

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Why Oracle’s Infrastructure is Best for Generative AI

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Generative AI has literally shaken the cloud infrastructure.

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Unmasking the faces of fraud to protect your data

SAS Software

Stu Bradley discusses the importance of education, diligence and analytics in the fight against fraud.

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I cover AI for a living — here's what I'm most excited about from Web Summit 2023

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With hundreds of speakers and tens of thousands of attendees, the Web Summit has evolved into one of Europe's largest events. Here's what to expect from AI news out of this year's show.

AI 139
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How to Achieve High-Accuracy Results When Using LLMs

Speaker: Ben Epstein, Stealth Founder & CTO | Tony Karrer, Founder & CTO, Aggregage

When tasked with building a fundamentally new product line with deeper insights than previously achievable for a high-value client, Ben Epstein and his team faced a significant challenge: how to harness LLMs to produce consistent, high-accuracy outputs at scale. In this new session, Ben will share how he and his team engineered a system (based on proven software engineering approaches) that employs reproducible test variations (via temperature 0 and fixed seeds), and enables non-LLM evaluation m

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Researchers from China Introduce CogVLM: A Powerful Open-Source Visual Language Foundation Model

Marktechpost

Models of visual language are strong and flexible. Next, token prediction may be used to create a variety of vision and cross-modality tasks, such as picture captioning, visual question answering, visual grounding, and even segmentation. As VLMs are scaled up, useful skills like in-context learning also appear along with the enhancement of downstream activities.

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How to Use "Create a GPT" to Create a Customized Version of ChatGPT

Flipboard

Getting to grips with ChatGPT's custom GPT tool is much easier than it looks, and you can have your custom AI tool up and running in moments.

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AI in Motion

Towards AI

Last Updated on November 13, 2023 by Editorial Team Author(s): michael raspuzzi Originally published on Towards AI. AI in Motion 24-hour hardware hack recap in San Francisco If 2023 was the year of LLMs (large language models), then 2024 will be the year of LMMs (large multimodal models). The main difference will be the recognition of text and images for generating inputs and outputs.

Robotics 122
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Nick Bostrom Discusses the Existential Risks and Rewards of Artificial Intelligence

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In a recent interview, Nick Bostrom, a Swedish philosopher at Oxford University and the director of its Future of Humanity Institute, delved into the …

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Zero Trust Mandate: The Realities, Requirements and Roadmap

The DHS compliance audit clock is ticking on Zero Trust. Government agencies can no longer ignore or delay their Zero Trust initiatives. During this virtual panel discussion—featuring Kelly Fuller Gordon, Founder and CEO of RisX, Chris Wild, Zero Trust subject matter expert at Zermount, Inc., and Principal of Cybersecurity Practice at Eliassen Group, Trey Gannon—you’ll gain a detailed understanding of the Federal Zero Trust mandate, its requirements, milestones, and deadlines.

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We should evaluate real-world impact!

Ehud Reiter

I’ve had several discussions over the past few months about evaluations that measure the real-word impact of NLG/NLP systems. In other words, instead of calculating metrics on test sets or asking human subjects whether they like what they see, we measure the impact on users when the system is deployed in the real world. I see lots of claims that LLMs will revolutionise the world in all sorts of ways, surely some of these claims should be backed up by experiments that measure real-world imp

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Top 5 ChatGPT plugins to turbocharge productivity

Flipboard

ChatGPT plugins and productivity go hand in hand.

ChatGPT 123
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ChatGPT-Maker Dazzles With Major Upgrade

Robot Writers AI

OpenAI has released a slew of upgrades to its incredibly popular ChatGPT product — as well as to the AI engine that powers it. #ad The news broke at OpenAI’s first conference for computer developers who are interested in working with its AI. Key enhancements promised by the ChatGPT-maker include: ~A new tool coming soon that makes it easier to customize ChatGPT ~A beefed-up, coming-soon version of the underlying AI software engine that powers ChatGPT — dubbed ‘ChatGPT-4 T

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Extracting Histogram of Gradients with OpenCV

Machine Learning Mastery

Besides the feature descriptor generated by SIFT, SURF, and ORB, as in the previous post, the Histogram of Oriented Gradients (HOG) is another feature descriptor you can obtain using OpenCV. HOG is a robust feature descriptor widely used in computer vision and image processing for object detection and recognition tasks. It captures the distribution of […] The post Extracting Histogram of Gradients with OpenCV appeared first on MachineLearningMastery.com.

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Relevance, Reach, Revenue: How to Turn Marketing Trends From Hype to High-Impact

Speaker: Alexa Acosta, Director of Growth Marketing & B2B Marketing Leader

Marketing is evolving at breakneck speed—new tools, AI-driven automation, and changing buyer behaviors are rewriting the playbook. With so many trends competing for attention, how do you cut through the noise and focus on what truly moves the needle? In this webinar, industry expert Alexa Acosta will break down the most impactful marketing trends shaping the industry today and how to turn them into real, revenue-generating strategies.

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Researchers from Cambridge have Developed a Virtual Reality Application Using Machine Learning to Give Users the ‘Superhuman’ Ability to Open and Control Tools in Virtual Reality

Marktechpost

Hotkeys are keyboard shortcuts typically found in traditional desktop applications. A team of researchers from the University of Cambridge explores what makes for a suitable alternative to hotkeys in a 3D interaction space where keyboard input is no longer the only option. Scientists have created a VR program that allows users to access and use multiple 3D modeling tools with the wave of a hand.

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AI Tools Reveal Hidden Proteins Unveiling a Protein Universe Atlas | Cryptopolitan

Flipboard

In a watershed moment for the realm of molecular exploration, researchers at the University of Basel and the SIB Swiss Institute of Bioinformatics have harnessed the transformative power of AI tools

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This AI Research Unveils LSS Transformer: A Revolutionary AI Approach for Efficient Long Sequence Training in Transformers

Marktechpost

A new AI research has introduced the Long Short-Sequence Transformer (LSS Transformer), an efficient distributed training method tailored for transformer models with extended sequences. It segments long sequences among GPUs, with each GPU handling partial self-attention computations. LSS Transformer employs fused communication and a unique double gradient averaging technique to minimize transmission overhead, resulting in impressive speedups and memory reduction, surpassing other sequence parall