Sun.Dec 17, 2023

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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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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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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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EPFL and Apple Researchers Open-Sources 4M: An Artificial Intelligence Framework for Training Multimodal Foundation Models Across Tens of Modalities and Tasks

Marktechpost

Training large language models (LLMs) that can naturally handle various tasks without extensive task-specific adjustments has become more popular in natural language processing (NLP). There is still a need to create equally flexible and scalable models for vision, even though these models have shown outstanding success in NLP. The capacity to manage many input modalities and output tasks is essential for vision’s scalability and versatility.

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Usage-Based Monetization Musts: A Roadmap for Sustainable Revenue Growth

Speaker: David Warren and Kevin O’Neill Stoll

Transitioning to a usage-based business model offers powerful growth opportunities but comes with unique challenges. How do you validate strategies, reduce risks, and ensure alignment with customer value? Join us for a deep dive into designing effective pilots that test the waters and drive success in usage-based revenue. Discover how to develop a pilot that captures real customer feedback, aligns internal teams with usage metrics, and rethinks sales incentives to prioritize lasting customer eng

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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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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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Upstage Unveils Solar-10.7B: Pioneering Large Language Models with Depth Up-Scaling and Fine-Tuned Precision for Single-Turn Conversations

Marktechpost

The researchers at Upstage (a South Korean AI company) have tackled the challenge of maximizing the performance of language models while minimizing their parameters. In large language models (LLMs), where model size often correlates with performance, Upstage introduces Solar-10.7B, a groundbreaking model with 10.7 billion parameters. This innovation addresses the inherent trade-off between model size and performance observed in models exceeding 30 billion parameters.

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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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How to use Github? Step-by-Step Guide

Marktechpost

To sign up on GitHub, here are six steps Step 1: Sign up for GitHub Visit their website and click on the Signup button. Fill in the information, including your username, email, and password. Once completed, verify your email, and you’ll have a free GitHub account to use for code repositories and collaboration. [link] Step 2: Create a Repository on GitHub Create a Repository on GitHub To create a GitHub repository for your project, follow these simple steps: 1.

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15 Modern Use Cases for Enterprise Business Intelligence

Large enterprises face unique challenges in optimizing their Business Intelligence (BI) output due to the sheer scale and complexity of their operations. Unlike smaller organizations, where basic BI features and simple dashboards might suffice, enterprises must manage vast amounts of data from diverse sources. What are the top modern BI use cases for enterprise businesses to help you get a leg up on the competition?

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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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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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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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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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From Diagnosis to Delivery: How AI is Revolutionizing the Patient Experience

Speaker: Simran Kaur, Founder & CEO at Tattva Health Inc.

The healthcare landscape is being revolutionized by AI and cutting-edge digital technologies, reshaping how patients receive care and interact with providers. In this webinar led by Simran Kaur, we will explore how AI-driven solutions are enhancing patient communication, improving care quality, and empowering preventive and predictive medicine. You'll also learn how AI is streamlining healthcare processes, helping providers offer more efficient, personalized care and enabling faster, data-driven

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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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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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Prepare Now: 2025s Must-Know Trends For Product And Data Leaders

Speaker: Jay Allardyce, Deepak Vittal, and Terrence Sheflin

As we look ahead to 2025, business intelligence and data analytics are set to play pivotal roles in shaping success. Organizations are already starting to face a host of transformative trends as the year comes to a close, including the integration of AI in data analytics, an increased emphasis on real-time data insights, and the growing importance of user experience in BI solutions.

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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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The Tumultuous IT Landscape Is Making Hiring More Difficult

After a year of sporadic hiring and uncertain investment areas, tech leaders are scrambling to figure out what’s next. This whitepaper reveals how tech leaders are hiring and investing for the future. Download today to learn more!

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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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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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AI in Healthcare - Will AI Replace Doctors' Intuition?

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technological innovations are reshaping patient care and diagnostics, the intersection of artificial intelligence (AI) and the intuitive instincts of healthcare professionals is gaining prominence.

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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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Improving the Accuracy of Generative AI Systems: A Structured Approach

Speaker: Anindo Banerjea, CTO at Civio & Tony Karrer, CTO at Aggregage

When developing a Gen AI application, one of the most significant challenges is improving accuracy. This can be especially difficult when working with a large data corpus, and as the complexity of the task increases. The number of use cases/corner cases that the system is expected to handle essentially explodes. 💥 Anindo Banerjea is here to showcase his significant experience building AI/ML SaaS applications as he walks us through the current problems his company, Civio, is solving.

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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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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.