Sat.Jul 22, 2023 - Fri.Jul 28, 2023

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Doug Fuller, VP of Software Engineering at Cornelis Networks – Interview Series

Unite.AI

As Vice President of Software Engineering, Doug is responsible for all aspects of the Cornelis Networks ’ software stack, including the Omni-Path Architecture drivers, messaging software, and embedded device control systems. Before joining Cornelis Networks, Doug led software engineering teams at Red Hat in cloud storage and data services. Doug’s career in HPC and cloud computing began at Ames National Laboratory’s Scalable Computing Laboratory.

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For a short time only: Time-based restrictions for enhanced cloud security

IBM Journey to AI blog

If you read some of my earlier blog posts , you know that I automated the setup (onboarding) for workshops and hackathons. Thus far, running my Terraform scripts to deploy resources and privileges meant allowing access to them. Thanks to a (relatively) new IBM Cloud security feature called time-based restrictions , I can decouple the deployment process from when access is possible.

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Montreal startup HumanFirst raises $5M to transform organizations’ conversational data into no-code AI agents

Flipboard

Imagine you run a customer service desk at a company. You quickly notice that your employees spend a good chunk of their day answering the same questions from different customers.

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RT-2: New model translates vision and language into action

DeepMind

Introducing Robotic Transformer 2 (RT-2), a novel vision-language-action (VLA) model that learns from both web and robotics data, and translates this knowledge into generalised instructions for robotic control, while retaining web-scale capabilities. This work builds upon Robotic Transformer 1 (RT-1), a model trained on multi-task demonstrations which can learn combinations of tasks and objects seen in the robotic data.

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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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10 Best AI WhatsApp Tools (July 2023)

Unite.AI

In the era of digital communication, artificial intelligence (AI) has become a game-changer. AI tools for WhatsApp, in particular, are transforming the way we communicate, offering features like chatbots that can automate responses, provide customer service, and even engage in casual conversations. Here, we present some of the top AI WhatsApp tools that are changing communication. 1.

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AWS AI-powered video highlights feature introduces game-changing World Cup viewing experience for fans

Flipboard

Sports fans continue to seek a dynamic viewing experience whenever they decide to tune into a live sporting event. The advancements in technology have only raised expectations.

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Meet Mentat: An AI Tool That Assists You With Any Coding Task From Your Command-Line Allowing It To Coordinate Edits Across Multiple Files

Marktechpost

The term ‘Mentat’ originates from the science fiction books created by the famous author Frank Herbert in his Dune Modules. Mentats are humans or robots who are trained to perform complex tasks such as Machine Learning and Data Analysis similar to that of Artificial intelligence. They also perform these tasks without the use of computers.

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A New Dawn in Robotics: Touch-Based Object Rotation

Unite.AI

In a groundbreaking development, a team of engineers at the University of California San Diego (UCSD) has designed a robotic hand that can rotate objects using touch alone, without the need for visual input. This innovative approach was inspired by the effortless way humans handle objects without necessarily needing to see them. A Touch-Sensitive Approach to Object Manipulation The team equipped a four-fingered robotic hand with 16 touch sensors spread across its palm and fingers.

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Textbooks are All You Need: How Microsoft's Phi-1 Outperformed Larger Code Language Models

TheSequence

Created Using Midjourney Coding has been one of the most active areas of development in the foundation model space. OpenAI opened the floodgates to this space with models like Codex, which eventually morphed into GPT-4. However, companies such as Amazon and Salesforce have also released incredibly high-quality work in this domain. The premise of coding foundation models has been the ability to pre-train a model in a large number of code datasets and expect capabilities to surface across differen

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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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Hollywood needs to pivot now, or AI will replace the studios, too

Flipboard

Actors and writers worry that Hollywood studios will use AI to replace them. But in a shocking twist, AI may be coming for the studios, too. One of the many legitimate concerns held by the actors and writers on strike right now is that Hollywood will use AI to replace them.

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Researchers from Imperial College London and DeepMind Designed an AI Framework that Uses Language as the Core Reasoning Tool of an RL Agent

Marktechpost

In recent years, there have been significant breakthroughs in the field of Deep Learning, particularly in the popular sub-fields of Artificial Intelligence, including Natural Language Processing (NLP), Natural Language Understanding (NLU) and Computer Vision (CV). Large Language Models (LLMs) have been created in the framework of NLP and demonstrate outstanding language processing and text production skills that are on par with human talents.

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The Essential Guide to Prompt Engineering in ChatGPT

Unite.AI

Since its launch, ChatGPT has been making waves in the AI sphere, attracting over 100 million users in record time. The secret sauce to ChatGPT's impressive performance and versatility lies in an art subtly nestled within its programming – prompt engineering. Launched in 2022, DALL-E, MidJourney, and StableDiffusion underscored the disruptive potential of Generative AI.

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Developers Look to OpenUSD in Era of AI and Industrial Digitalization

NVIDIA

From smart factories to next-generation railway systems , developers and enterprises across the world are racing to fuel industrial digitalization opportunities at every scale. Key to this is the open-source Universal Scene Description (USD) framework, or OpenUSD, along with metaverse applications powered by AI. OpenUSD, originally developed by Pixar for large-scale feature film pipelines for animation and visual effects, offers a powerful engine for high-fidelity 3D worlds, as well as an expans

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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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ServiceNow expands platform with additional generative AI capabilities to ease enterprise productivity

Flipboard

Low-code enterprise automation company ServiceNow has announced the expansion of its Now platform’s generative AI capabilities, introducing case summarization and text-to-code features.

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This AI Paper Introduces Stable Signature: An Active Strategy Combining Image Watermarking And Latent Diffusion Models

Marktechpost

Recent developments in generative modeling and natural language processing make photo-realistic image creation and manipulation straightforward, using tools like DALL’E 2 and Stable Diffusion. Though this progress in generative AI is exciting, it raises fresh worries about eroding trust in photo-realistic visuals. Forensics, or unobtrusive techniques for identifying computer-generated or modified photographs, is a good starting point.

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Surfer SEO Review: The Best AI SEO Tool? (July 2023)

Unite.AI

Without a doubt, SEO can be challenging for most people. Many factors come into play that determine whether or not your content ranks on search engines, making it easy to make mistakes and have your content never see the light of day. Gone are the days of cramming keywords into content and instantly ranking on the first page. In today's world, the competition is intense.

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Everything You Need to Know About NYC’s Automated Employment Decision Tools (AEDT) Law

Dlabs.ai

In an era where AI and machine learning have streamlined everything, including hiring processes, the balance between efficiency and equity comes into question. With algorithms, machine learning, and statistical modeling defining who gets hired or promoted, are these decisions genuinely fair? How can we ensure these technological advances don’t harbor biases or injustices?

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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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How “windfall profits” from AI companies could fund a universal basic income

Flipboard

Amazon Web Services CEO Adam Selipsky, OpenAI President Greg Brockman, Meta President Nick Clegg, Inflection AI CEO Mustafa Suleyman, Anthropic CEO Dario Amodei, Google’s President of Global Affairs Kent Walker, and Microsoft Vice Chair and President Brad Smith at the White House. | Getty Images Companies like OpenAI and Google could make unthinkable profits from successful AI.

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Researchers From Meta AI And the University Of Cambridge Examine How Large Language Models (LLMs) Can Be Prompted With Speech Recognition Abilities

Marktechpost

Large Language Models are the new trend, thanks to the introduction of the well-known ChatGPT. Developed by OpenAI, this chatbot does everything from answering questions precisely, summarizing long paragraphs of textual data, completing code snippets, translating the text into different languages, and so on. LLMs have human imitating capabilities and are based on sub-fields of Artificial Intelligence, including Natural Language Processing, Natural Language Understanding, Natural Language Generat

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AI Is Being Trained to Hunt for Alien Life

Unite.AI

From freezing ocean moons to planets with one side in perpetual night, there are countless strange worlds in the Goldilocks Zone — areas where aliens could, theoretically, evolve. The search for life in space has long captivated the human imagination. Now, with a little help from computers, scientists have a better chance than ever of finding a signal in the noise.

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Real-Real-World Programming with ChatGPT

O'Reilly Media

If you’re reading this, chances are you’ve played around with using AI tools like ChatGPT or GitHub Copilot to write code for you. Or even if you haven’t yet, then you’ve at least heard about these tools in your newsfeed over the past year. So far I’ve read a gazillion blog posts about people’s experiences with these AI coding assistance tools. These posts often recount someone trying ChatGPT or Copilot for the first time with a few simple prompts, seeing how it does for some small self-containe

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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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Why Meta is giving away its extremely powerful AI model

Flipboard

Paige Vickers/Vox; Getty Images The AI debate splitting the tech world, explained. Last week, Meta made a game-changing move in the world of AI. At a time when other leading AI companies like Google and OpenAI are closely guarding their secret sauce, Meta decided to give away , for free, the code that powers its innovative new AI large language model , Llama 2.

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CMU Researchers Introduce WebArena: A Realistic and Reproducible Web Environment with 4+ Real-World Web Apps for Benchmarking Useful Agents

Marktechpost

Given the potential for increased efficiency and broader accessibility, autonomous agents that can do ordinary tasks via human natural language instructions could considerably complement human skills. To fully use the potential of these independent agents, it is essential to comprehend their behavior in a genuine and reproducible setting. Today’s settings tend to oversimplify complex problems.

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The AI Feedback Loop: Maintaining Model Production Quality In The Age Of AI-Generated Content

Unite.AI

Production-deployed AI models need a robust and continuous performance evaluation mechanism. This is where an AI feedback loop can be applied to ensure consistent model performance. Take it from Elon Musk: “I think it’s very important to have a feedback loop, where you’re constantly thinking about what you’ve done and how you could be doing it better.

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Prompt Engineering Hacks for ChatGPT & LLM Applications

Topbots

Harnessing the full potential of AI requires mastering prompt engineering. This article provides essential strategies for writing effective prompts relevant to your specific users. The strategies presented in this article, are primarily relevant for developers building large language model (LLM) applications. Still, the majority of these tips are equally applicable to end users interacting with ChatGPT via OpenAI’s user interface.

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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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Netflix touts $900k AI jobs amid Hollywood strikes

Flipboard

Netflix has triggered an angry response from striking Hollywood actors and writers after posting a job advert for an artificial intelligence (AI) expert. The new position would join its Machine Learning Platform team, which drives the Netflix algorithm helping viewers pick new programmes to watch.

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How Transformer-Based LLMs Extract Knowledge From Their Parameters

Marktechpost

In recent years, transformer-based large language models (LLMs) have become very popular because of their ability to capture and store factual knowledge. However, how these models extract factual associations during inference remains relatively underexplored. A recent study by researchers from Google DeepMind, Tel Aviv University, and Google Research aimed to examine the internal mechanisms by which transformer-based LLMs store and extract factual associations.

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4 Ways Generative AI Will Revolutionize Field Service Operations: Exploring the Potential Uses

Unite.AI

Generative AI (GAI) has been a steady focus of the tech and business media for the better part of this year—largely spurred by Open AI’s release of ChatGPT and GPT-4. Both are powerful multimodal language models capable of deep learning. The popularity and subsequent adoption of this new technology are unsurprising. Unlike other viral technologies—like Web3 and the Metaverse, for example—Open AI’s technology has an immediate opportunity to add business value across industries and verticals.