Wed.Oct 18, 2023

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Enterprises struggle to address generative AI’s security implications

AI News

In a recent study, cloud-native network detection and response firm ExtraHop unveiled a concerning trend: enterprises are struggling with the security implications of employee generative AI use. Their new research report, The Generative AI Tipping Point , sheds light on the challenges faced by organisations as generative AI technology becomes more prevalent in the workplace.

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How Generative AI Is Reshaping Business, Healthcare, and the Arts?

Analytics Vidhya

Introduction Generative artificial intelligence, often called GenAI, is at the vanguard of the AI revolution, enabling robots’ limitless creative and problem-solving potential. GenAI represents a crucial fusion of cutting-edge technology and human creativity in a world where artificial intelligence continuously pushes the bounds of what is possible.

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Breaking Down the “State of AI Report 2023”

Unite.AI

The annual State of AI Report serves as a critical benchmark, providing clarity and direction in the rapidly evolving domain of artificial intelligence. Its comprehensive analyses have consistently offered valuable insights to researchers, industry professionals, and policymakers. This year, the report underscores some particularly significant advancements in the field of Large Language Models (LLMs), emphasizing their growing influence and the broader implications for the AI community.

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Top 5 AI Tools for Data Science Professionals

Analytics Vidhya

Introduction In today’s data-driven world, data science has become a pivotal field in harnessing the power of information for decision-making and innovation. As data volumes grow, the significance of data science tools becomes increasingly pronounced. Data science tools are essential in many facets of the profession, from data collection and preprocessing to analysis and visualization. […] The post Top 5 AI Tools for Data Science Professionals appeared first on Analytics Vidhya.

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Prospect, Personalize, Profit: The New Way Sales & Marketing Teams Are Aligning with AI

Speaker: Kevin Burke, Founder & Managing Director at Digital One and AI & Automation Consultant

AI and automation are currently transforming the way sales and marketing teams operate. Generative AI crafts personalized outreach at scale, while conversational AI bots are engaging prospects in real time. Robotic process automation streamlines manual workflows by triggering tasks the moment a prospect takes a key action, and advanced AI analytics surface hidden patterns in the pipeline, improve forecasting, and help teams make data-driven decisions with confidence.

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How an Academic Partner Can Help You Validate Your Startup’s Product

Unite.AI

Scientific validation is a crucial stepping stone for startups aiming to build a successful business. By rigorously testing the hypotheses upon which their products are built, tech-oriented founders can mitigate risks, increase their appeal to investors, maintain regulatory compliance, foster customer trust, and enhance their marketing strategies. However, although it serves as a competitive edge and as a demonstration of the startup's commitment to build quality products, the validation process

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AutoGen: Powering Next Generation Large Language Model Applications

Unite.AI

Large Language Models (LLMs) are currently one of the most discussed topics in mainstream AI. Developers worldwide are exploring the potential applications of LLMs. These models are AI algorithms that utilize deep learning techniques and vast amounts of training data to understand, summarize, predict, and generate a wide range of content, including text, audio, images, videos, and more.

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Empowering Logo Design with Segmind’s Generative AI

Analytics Vidhya

Introduction In the ever-evolving world of branding, logos represent a brand’s essence. Traditionally, logo creation was intricate, requiring designer talent and revisions. Enter Segmind, transforming logo design with generative artificial intelligence (AI). Segmind’s AI-driven approach streamlines the design process, sparking creativity and limitless logo creation.

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3 Reasons to attend PrestoCon 2023: Embracing Open Source and Next-Gen Presto

IBM Journey to AI blog

On December 5–6, 2023 at the Computer History Museum in Mountain View, CA, hundreds of developers and software engineers will come together at PrestoCon 2023 to support and learn more about Presto, the open-source SQL query engine for data analytics and the Open Data Lakehouse. Learn more about PrestoCon 2023 We’re excited for the future of Presto.

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Top 10 Online Data Science Courses in USA

Analytics Vidhya

Introduction Data Science is the upcoming future in the technological world. A dynamic field where information turns into actionable data, data science has grown in popularity in the domains where algorithms help drive success. The most important aspect is learning skills and knowledge to allow individuals to acquire their future careers. Hands-on practice and real-world […] The post Top 10 Online Data Science Courses in USA appeared first on Analytics Vidhya.

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Going Beyond Chatbots: Connecting AI to Your Tools, Systems, & Data

Speaker: Alex Salazar, CEO & Co-Founder @ Arcade | Nate Barbettini, Founding Engineer @ Arcade | Tony Karrer, Founder & CTO @ Aggregage

If AI agents are going to deliver ROI, they need to move beyond chat and actually do things. But, turning a model into a reliable, secure workflow agent isn’t as simple as plugging in an API. In this new webinar, Alex Salazar and Nate Barbettini will break down the emerging AI architecture that makes action possible, and how it differs from traditional integration approaches.

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AI skills for all: How IBM is helping to close the digital divide

IBM Journey to AI blog

AI has inspired millions of people around the world with ideas about what it can make possible. But this technological game changer has also provoked a lot of questions around how it will impact the world of work. Change is happening, and fast. Research from IBM’s Institute for Business Value (IBV) finds that executives estimate about 40% of their workforce will need to reskill over the next three years due to AI and automation.

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Microsoft's new AI assistant can go to meetings for you

Flipboard

A ChatGPT-style AI assistant, developed by Microsoft and embedded into its office apps, will become available to all from 1 November, following trials. Microsoft 365 Copilot can summarise meetings held in Teams for anyone who chooses not to attend.

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Watsonx Orders helps restaurant operators maximize revenue with AI-powered order taker for drive-thrus

IBM Journey to AI blog

We’re pleased to announce IBM watsonx Orders, an AI-powered voice agent for drive-thrus of quick-service restaurants. Powered by the latest technology from IBM Research, watsonx Orders is designed to help restaurant owners solve persistent labor challenges by handling almost all orders and interactions without the help of human cashiers, while delighting restaurant guests with quick service and accurate orders.

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OpenAI Is in Talks to Sell Shares at an $86 Billion Valuation

Flipboard

OpenAI is in talks to sell existing employees’ shares at an $86 billion valuation, according to people with knowledge of the matter.

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Smart Tech + Human Expertise = How to Modernize Manufacturing Without Losing Control

Speaker: Andrew Skoog, Founder of MachinistX & President of Hexis Representatives

Manufacturing is evolving, and the right technology can empower—not replace—your workforce. Smart automation and AI-driven software are revolutionizing decision-making, optimizing processes, and improving efficiency. But how do you implement these tools with confidence and ensure they complement human expertise rather than override it? Join industry expert Andrew Skoog as he explores how manufacturers can leverage automation to enhance operations, streamline workflows, and make smarter, data-dri

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A mapping of claims about AI risk

AI Impacts

Many people have argued that AI poses an existential risk, using lots of different terms. This spreadsheet maps some of these claims to one another. Hopefully this makes it easier to navigate arguments about existential risk from AI. Some notes and caveats: The spreadsheet isn’t comprehensive. Many others have argued that AI poses an existential risk.

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Gartner: Generative AI will be everywhere, so strategize now

Flipboard

The human-machine relationship is dynamic and evolving. Generative AI, in particular, is set to completely transform enterprise processes, decision-making, strategy and other elements that have yet to be considered.

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ChatGPT error or human error?

Ehud Reiter

My PhD student Mengxuan “Summer” Sun is exploring whether chatGPT can explain complex medical notes to patients. As a first step, she has obtained some medical notes from doctors (for fictional patients, but inspired by real patients), asked chatGPT to explain them, and then asked doctors (including the authors of the medical notes) to evaluate chatGPT’s response for appropriateness and accuracy.

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How AI will shape our children’s future

Flipboard

Getty Images AI will play a major role in how children born today experience the world. It’s up to us whether that’s for the better, or the worse. My family is expecting our third child in just a few days. For my part, welcoming a new baby presents an occasion to reflect on the world that I’m bringing them into. I’ve never agreed with the perspective — worryingly common among some people my age — that climate change, or war, or economic hardship, makes it wrong to bring children into the world.

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Automation, Evolved: Your New Playbook for Smarter Knowledge Work

Speaker: Frank Taliano

Documents are the backbone of enterprise operations, but they are also a common source of inefficiency. From buried insights to manual handoffs, document-based workflows can quietly stall decision-making and drain resources. For large, complex organizations, legacy systems and siloed processes create friction that AI is uniquely positioned to resolve.

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NVIDIA Expands Robotics Platform to Meet the Rise of Generative AI

NVIDIA

Powerful generative AI models and cloud-native APIs and microservices are coming to the edge. Generative AI is bringing the power of transformer models and large language models to virtually every industry. That reach now includes areas that touch edge, robotics and logistics systems: defect detection, real-time asset tracking, autonomous planning and navigation, human-robot interactions and more.

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ChatGPT can now respond with images and search the web

Flipboard

It's official: ChatGPT is no longer stuck in time.

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Optimize pet profiles for Purina’s Petfinder application using Amazon Rekognition Custom Labels and AWS Step Functions

AWS Machine Learning Blog

Purina US, a subsidiary of Nestle, has a long history of enabling people to more easily adopt pets through Petfinder , a digital marketplace of over 11,000 animal shelters and rescue groups across the US, Canada, and Mexico. As the leading pet adoption platform, Petfinder has helped millions of pets find their forever homes. Purina consistently seeks ways to make the Petfinder platform even better for both shelters and rescue groups and pet adopters.

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Meta Has an AI That Can Read Your Mind and Draw Your Thoughts

Flipboard

Meta is developing brain-scanning technology that can convert brain activity into vivid imagery in miliseconds.

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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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Are Pre-Trained Foundation Models the Future of Molecular Machine Learning? Introducing Unprecedented Datasets and the Graphium Machine Learning Library

Marktechpost

The recent results of machine learning in drug discovery have been largely attributed to graph and geometric deep learning models. These techniques have proven effective in modeling atomistic interactions, molecular representation learning, 3D and 4D situations, activity and property prediction, force field creation, and molecular production. Like other deep learning techniques, they need a lot of training data to provide excellent modeling accuracy.

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How Marketing Executives Are Thinking About Integrating AI Into Their Strategies

Flipboard

Since the launch of ChatGPT nearly a year ago, finding the right approach to tapping into the benefits of artificial intelligence has become a key focus for many businesses.

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Five Eyes Intelligence Leaders Accuse China of Stealing Intellectual Property

Extreme Tech

The warning is the first time the partner nations have publicly rebuked China for what they say is a massive operation of IP theft.

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7 Steps to Mastering Large Language Models (LLMs)

Flipboard

Large Language Models (LLMs) have unlocked a new era in natural language processing. So why not learn more about them? Go from learning what large language models are to building and deploying LLM apps in 7 easy steps with this guide.

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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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Evaluating social and ethical risks from generative AI

DeepMind

Generative AI systems are already being used to write books, create graphic designs, assist medical practitioners, and are becoming increasingly capable. To ensure these systems are developed and deployed responsibly requires carefully evaluating the potential ethical and social risks they may pose.In our paper, we propose a three-layered framework for evaluating the social and ethical risks of AI systems.

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How companies are scrambling to keep control of their private data from AI models - SiliconANGLE

Flipboard

Ever since artificial intelligence and large language models became popular earlier this year, organizations have struggled to keep control over accidentally or deliberately exposing their data used a

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Amazon Researchers Present a Deep Learning Compiler for Training Consisting of Three Main Features- a Syncfree Optimizer, Compiler Caching, and Multi-Threaded Execution

Marktechpost

One of the biggest challenges in Machine Learning has always been to train and use neural networks efficiently. A turning point was reached with the introduction of the transformer model architecture, which created new opportunities for gradient descent parallelization and distribution strategies, enabling the training of bigger, more intricate models on a wider scale.