Sun.Dec 17, 2023

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AI-screened eye pics diagnose childhood autism with 100% accuracy

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Researchers have taken photographs of children’s retinas and screened them using a deep learning AI algorithm to diagnose autism with 100% accuracy.

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This AI Paper Survey Addresses the Role of Large Language Models (LLMs) in Medicine: Their Challenges, Principles And Applications

Marktechpost

Natural Language Processing (NLP) has come a long way in the last few months, especially with the introduction of Large Language Models (LLMs). Models like GPT, PaLM, LLaMA, etc., have gained a lot of popularity due to their capability to execute several NLP tasks like text generation, text summarization, and question answering. Researchers have been constantly trying to use the power of LLMs in the medical field.

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This AI code that detects when guns, threats appear on school cameras is available for free

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A software company is offering a free artificial intelligence system that can help security detect weapons at schools in an effort to combat school shootings. Iterate.

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Researchers From Stanford University Introduce A Unified AI Framework For Corroborative And Contributive Attributions In Large Language Models (LLMs)

Marktechpost

Large Language Models (LLMs) are the latest advancement in the exponentially evolving field of Artificial Intelligence (AI). Though these models demonstrate incredible performance in tasks including text generation, question answering, text summarization, etc., there comes a challenge with the accuracy and security of the data they generate. These models can sometimes fabricate or produce inaccurate information,i.e., hallucinate and produce an unreliable output.

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How To Get Promoted In Product Management

Speaker: John Mansour

If you're looking to advance your career in product management, there are more options than just climbing the management ladder. Join our upcoming webinar to learn about highly rewarding career paths that don't involve management responsibilities. We'll cover both career tracks and provide tips on how to position yourself for success in the one that's right for you.

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AI Briefing: Creative ways companies used AI in advertising in 2023

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As the generative AI boom took off in early 2023 , there were plenty of predictions about how soon — and to what extent — companies would start using generative AI in their marketing. Nearly a year later, it’s clear many are feeling increasingly comfortable. Just last week, the global hotel search company Trivago released a new ad campaign as part of a broader rebrand.

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Sports Illustrated’s AI scandal highlights the need for authenticity in the LLM era

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Transparency and authenticity are critical for organizations that intend to use AI in any shape and form. As 2023 comes to a close, it has become evident that the once-unstoppable global AI race is quickly transforming into a mad dash.

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Amazon Researchers Leverage Deep Learning to Enhance Neural Networks for Complex Tabular Data Analysis

Marktechpost

Neural networks, the marvels of modern computation, encounter a significant hurdle when confronted with tabular data featuring heterogeneous columns. The essence of this challenge lies in the networks’ inability to handle diverse data structures within these tables effectively. To tackle this, the paper seeks to bridge this gap by exploring innovative methods to augment the performance of neural networks when dealing with such intricate data structures.

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These AI tools can help you create something in under a minute

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Cook up an AI-powered recipe with Taste Bud, summarize a YouTube video with Summarize.tech, and more. You can do some amazing things with AI in a minute or less. Read on for eight ways to start making something new. They’re all free, fast, and fun. 1.

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Google’s Demo of New AI Was Staged

Robot Writers AI

Turns out that all the razzle-dazzle associated with Google’s recent release of its new AI software ‘Gemini’ was just that. #ad Writer Alex Blake reports much of Google’s ballyhooed video walk-through of Gemini was staged. Observes Blake: “Google modified interactions with Gemini in numerous ways in order to create the demonstration. “For instance, the video’s YouTube description explains that ‘for the purposes of this demo, latency has been reduced and

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Navigating the Future: Generative AI, Application Analytics, and Data

Generative AI is upending the way product developers & end-users alike are interacting with data. Despite the potential of AI, many are left with questions about the future of product development: How will AI impact my business and contribute to its success? What can product managers and developers expect in the future with the widespread adoption of AI?

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LLMs unleashed: Navigating the chaos of online experimentation

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In an audacious move that defies conventional wisdom, generative AI companies have embraced a cutting-edge approach to quality assurance: Releasing large language models (LLMs) directly into the wild, untamed realms of the internet.

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Meet VonGoom: A Novel AI Approach for Data Poisoning in Large Language Models

Marktechpost

Data poisoning attacks manipulate machine learning models by injecting false data into the training dataset. When the model is exposed to real-world data, it may result in incorrect predictions or decisions. LLMs can be vulnerable to data poisoning attacks, which can distort their responses to targeted prompts and related concepts. To address this issue, a research study conducted by Del Complex proposes a new approach called VonGoom, which requires only a few hundred to several thousand strateg

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Navigating The AI Wave And The Impact On The 2024 Workplace

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AI use is skyrocketing in the workplace, with over half of companies now employing generative AI tools to enhance productivity and creativity, despite concerns about regulation and job loss. At JLL, a proprietary AI tool streamlines tedious tasks, allowing employees to focus on high-level work, demonstrating AI’s ability to reveal insights quickly and aid in complex decision-making.

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Stanford Researchers Harness Deep Learning with GLOW and IVES to Transform Molecular Docking and Ligand Binding Pose Prediction

Marktechpost

Deep learning has the potential to enhance molecular docking by improving scoring functions. Current sampling protocols often need prior information to generate accurate ligand binding poses, limiting scoring function accuracy. Two new protocols, GLOW and IVES, developed by researchers from Stanford University, address this challenge, demonstrating enhanced pose sampling efficacy.

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Understanding User Needs and Satisfying Them

Speaker: Scott Sehlhorst

We know we want to create products which our customers find to be valuable. Whether we label it as customer-centric or product-led depends on how long we've been doing product management. There are three challenges we face when doing this. The obvious challenge is figuring out what our users need; the non-obvious challenges are in creating a shared understanding of those needs and in sensing if what we're doing is meeting those needs.

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We Should Reject Using AI to Create Perfect Memories

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The tech industry is obsessed with the idea of being able to remember everything, but when it comes to your personal life, there need to be limits.

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How Can We Advance Object Recognition in AI? This AI Paper Introduces GLEE: a Universal Object-Level Foundation Model for Enhanced Image and Video Analysis

Marktechpost

Object perception in images and videos unleashes the power of machines to decipher the visual world. Like virtual sleuths, computer vision systems scour pixels, recognizing, tracking, and understanding the myriad objects that paint the canvas of digital experiences. This technological prowess, fueled by deep learning magic, opens doors to transformative applications – from self-driving cars navigating urban landscapes to virtual assistants adding more intelligence to visual encounters.

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Combining Gemini Pro AI with LangChain to create a mini Retrieval-Augmented Generation (RAG) system

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In the rapidly evolving world of language processing, the integration of advanced tools like Gemini Pro with LangChain is a significant step forward for …

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Training Large-Vocabulary Neural Language Model by Private Federated Learning for Resource-Constrained Devices

Machine Learning Research at Apple

*= Equal Contributors Federated Learning (FL) is a technique to train models using data distributed across devices. Differential Privacy (DP) provides a formal privacy guarantee for sensitive data. Our goal is to train a large neural network language model (NNLM) on compute-constrained devices while preserving privacy using FL and DP. However, the DP-noise introduced to the model increases as the model size grows, which often prevents convergence.

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How Embedded Analytics Gets You to Market Faster with a SAAS Offering

Start-ups & SMBs launching products quickly must bundle dashboards, reports, & self-service analytics into apps. Customers expect rapid value from your product (time-to-value), data security, and access to advanced capabilities. Traditional Business Intelligence (BI) tools can provide valuable data analysis capabilities, but they have a barrier to entry that can stop small and midsize businesses from capitalizing on them.

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Amdocs Revolutionising Telecom with Generative AI

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Last month, Amdocs and NVIDIA announced a strategic collaboration aimed at optimising LLMs to accelerate the adoption of generative AI applications …

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Leveraging Large Language Models for Exploiting ASR Uncertainty

Machine Learning Research at Apple

With the help of creative prompt engineering and in-context learning, large language models (LLMs) are known to generalize well on a variety of text-based natural language processing (NLP) tasks. However, for performing well on spoken language understanding (SLU) tasks, LLMs either need to be equipped with in-built speech modality or they need to rely on speech-to-text conversion from an off-the-shelf automation speech recognition (ASR) system.

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Intel CEO argues inference is better for the industry, Nvidia CUDA days are numbered

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Intel rolled out a portfolio of AI products aimed at the data center, cloud, network, edge and PC at its AI Everywhere event in New York City last week. "Intel is on a mission to bring AI everywhere through exceptionally engineered platforms, secure solutions and support for open ecosystems," CEO.

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Bootstrap Your Own Variance

Machine Learning Research at Apple

This paper was accepted at the workshop Self-Supervised Learning - Theory and Practice at NeurIPS 2023. *=Equal Contributors Understanding model uncertainty is important for many applications. We propose Bootstrap Your Own Variance (BYOV), combining Bootstrap Your Own Latent (BYOL), a negative-free Self-Supervised Learning (SSL) algorithm, with Bayes by Backprop (BBB), a Bayesian method for estimating model posteriors.

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From Developer Experience to Product Experience: How a Shared Focus Fuels Product Success

Speaker: Anne Steiner and David Laribee

As a concept, Developer Experience (DX) has gained significant attention in the tech industry. It emphasizes engineers’ efficiency and satisfaction during the product development process. As product managers, we need to understand how a good DX can contribute not only to the well-being of our development teams but also to the broader objectives of product success and customer satisfaction.

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Harvard Lecturer Matt Welsh Explores the Future of Computer Science in the Age of AI

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In a thought-provoking lecture at Harvard University’s introductory computer science course CS50, Matt Welsh, co-founder of AI application-building …

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Importance of Smoothness Induced by Optimizers in FL4ASR: Towards Understanding Federated Learning for End-to-End ASR

Machine Learning Research at Apple

In this paper, we start by training End-to-End Automatic Speech Recognition (ASR) models using Federated Learning (FL) and examining the fundamental considerations that can be pivotal in minimizing the performance gap in terms of word error rate between models trained using FL versus their centralized counterpart.

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Suckup software: How sycophancy threatens the future of AI

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If you wanted to make a quick buck in sixth-century Athens, you could do worse than denounce someone for smuggling figs.

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SAS Enterprise Guide?? Github ????

SAS Software

SAS Enterprise Guide(이하 SAS EG)의 최근 버전에서는 기존의 폴더를 통한 접근뿐만 아니라 GitHub 레파지토리를 등록하여 프로그램을 실행, 수정, 관리할 수 있습니다. 회사나 개인 용도로 GitHub을 사용하고 있을 경우, SAS EG에 레파지토리를 등록하여 사용이 가능합니다. 기존에 SAS EG와 GitHub을 사용하는 분이라면 EG를 통해서 좀 더 효율적이고 편리하게 작업을 하실 수 있습니다. [.] The post SAS Enterprise Guide에서 Github 연결하기 appeared first on SAS Blogs.

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Embedding BI: Architectural Considerations and Technical Requirements

While data platforms, artificial intelligence (AI), machine learning (ML), and programming platforms have evolved to leverage big data and streaming data, the front-end user experience has not kept up. Holding onto old BI technology while everything else moves forward is holding back organizations. Traditional Business Intelligence (BI) aren’t built for modern data platforms and don’t work on modern architectures.

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Iterate.ai Unveils Free AI Security System to Combat School Shootings

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AI software company Iterate.ai has launched a free artificial intelligence system to improve school security in light of rising US school shooting worries.

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DataComp: In Search of the Next Generation of Multimodal Datasets

Machine Learning Research at Apple

*=Equal Contributors Multimodal datasets are a critical component in recent breakthroughs such as Stable Diffusion and GPT-4, yet their design does not receive the same research attention as model architectures or training algorithms. To address this shortcoming in the ML ecosystem, we introduce DataComp, a testbed for dataset experiments centered around a new candidate pool of 12.8 billion image-text pairs from Common Crawl.

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What do we have after the OpenAI-nniversary? Not much more than palace intrigue and another finger - SiliconANGLE

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Since the one legitimate technology revolution of the century, the convergence of mature and networked software interfaces with GPS-enabled smartphone cameras, we’ve been waiting for the next techno

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