Trending Articles

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Why the Introduction of AI in Long-Term Care Takes a Long Time

Unite.AI

AI is making significant strides in many industries, but its adoption in long-term care facilities remains slow and challenging. While AI has the potential to revolutionise patient care through fall detection, bedsore prevention, and sleep quality assessments, the road to widespread deployment has been anything but fast. This is an issue of great importance for investors, care home managers, and system integrators, all of whom are keenly aware of the transformative potential AI offers.

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AGI is coming faster than we think — we must get ready now

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Leading figures in AI, including Anthropic’s Dario Amodei and OpenAI’s Sam Altman, suggest that “powerful AI” or even superintelligence could appear within the next two to 10 years, potentially reshaping our world.

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10 Best AI Tools for Environmental Monitoring (November 2024)

Unite.AI

In today’s world, as businesses face increasing pressure to adopt sustainable practices, the role of artificial intelligence in environmental monitoring has become paramount. Leveraging AI-powered tools for tracking greenhouse gas emissions, managing resources, and assessing environmental risks allows companies to make data-driven decisions that minimize their ecological footprint.

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Western drivers remain sceptical of in-vehicle AI

AI News

A global study has unveiled a stark contrast in attitudes towards embracing in-vehicle AI between Eastern and Western markets, with European drivers particularly reluctant. The research – conducted by MHP – surveyed 4,700 car drivers across China, the US, Germany, the UK, Italy, Sweden, and Poland, revealing significant geographical disparities in AI acceptance and understanding.

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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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Large Behavior Models Surpass Large Language Models To Create AI That Walks And Talks

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In today’s column, I closely explore the rapidly emerging advancement of large behavior models (LBMs) that are becoming the go-to for creating AI that runs robots and robotic systems. You might not be familiar with LBMs. No worries.

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Game Theory Made Simple

Towards AI

Author(s): Igor Novikov Originally published on Towards AI. Looking smart 😂 Image created by AI tool DALL·E 3 — the author has the provenance and copyright Many of you, I bet, heard about game theory at some point in your life. If you want to sound smart and impress your girlfriend — just mention “zero-sum game” and your chances to bring her home tonight have just increased by 50%.

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Welcome to GeForce NOW Performance: Priority Members Get Instant Upgrade

NVIDIA

This GFN Thursday, the GeForce NOW Priority membership is getting enhancements and a fresh name to go along with it. The new Performance membership offers more GeForce-powered premium gaming — at no change in the monthly membership cost. Gamers having a hard time deciding between the Performance and Ultimate memberships can take them both for a spin with a Day Pass, now 25% off for a limited time.

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Build and deploy a UI for your generative AI applications with AWS and Python

AWS Machine Learning Blog

The emergence of generative AI has ushered in a new era of possibilities, enabling the creation of human-like text, images, code, and more. However, as exciting as these advancements are, data scientists often face challenges when it comes to developing UIs and to prototyping and interacting with their business users. Traditionally, building frontend and backend applications has required knowledge of web development frameworks and infrastructure management, which can be daunting for those with e

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Classifying Rice With PyTorch: A Step-by-Step Guide

Towards AI

Author(s): Souradip Pal Originally published on Towards AI. This member-only story is on us. Upgrade to access all of Medium. In the fast-paced world of agriculture, being able to classify different rice varieties quickly and accurately can be a game-changer. But how can we harness machine learning for something as niche as rice classification? Well, this is where PyTorch, a powerful deep learning library, steps in.

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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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Creatify Review: How I Turn Product Links Into Ad Videos

Unite.AI

Have you ever wished you could create high-quality video ads without hiring an expensive production team? Video is everything in today’s fast-paced digital world. Aberdeen Group says video drives 49% faster revenue growth than non-video content. But if you're like most small businesses or content creators, you probably don’t have the time, a big budget, or extensive video editing skills to create these videos!

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NVIDIA Advances Robot Learning and Humanoid Development With New AI and Simulation Tools

NVIDIA

Robotics developers can greatly accelerate their work on AI-enabled robots, including humanoids , using new AI and simulation tools and workflows that NVIDIA revealed this week at the Conference for Robot Learning ( CoRL ) in Munich, Germany. The lineup includes the general availability of the NVIDIA Isaac Lab robot learning framework; six new humanoid robot learning workflows for Project GR00T , an initiative to accelerate humanoid robot development; and new world-model development tools for vi

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a16z VC Martin Casado explains why so many AI regulations are so wrong

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The problem with most attempts at regulating AI so far is that lawmakers are focusing on some mythical future AI experience, instead of truly understanding the new risks AI actually introduces.

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OpenAI Introduces ‘Predicted Outputs’ Feature: Speeding Up GPT-4o by ~5x for Tasks like Editing Docs or Refactoring Code

Marktechpost

The use of large language models like GPT-4o and GPT-4o-mini has brought significant advancements in natural language processing, enabling high-quality response generation, document rewriting, and productivity enhancements across numerous applications. However, one of the biggest challenges these models face is latency. Whether it’s updating a blog post or refining lines of code, the lag associated with response generation can hinder seamless user experiences.

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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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The Principles of Production AI

Towards AI

Author(s): Charly Poly Originally published on Towards AI. One main observation can be made as we approach the end of 2024: AI Engineering is maturing, looking for a safer, more accurate, and reliable way to put RAGs and Agents into user’s hands. Prompting iterations now rely on evaluations, or “Evals,” a technique inspired by classical Software Engineering’s unit testing.

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Heico Sandee, Founder and CEO of Smart Robotics – Interview Series

Unite.AI

Heico Sandee , is the Co-Founder and CEO of Smart Robotics. Smart Robotics offers technology and services designed to automate pick-and-place stations in fulfillment centers. The company provides user-friendly, reliable, and adaptable pick-and-place systems capable of handling a wide variety of items. What inspired you to co-found Smart Robotics back in 2015?

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Hugging Face and NVIDIA to Accelerate Open-Source AI Robotics Research and Development

NVIDIA

At the Conference for Robot Learning ( CoRL ) in Munich, Germany, Hugging Face and NVIDIA announced a collaboration to accelerate robotics research and development by bringing together their open-source robotics communities. Hugging Face’s LeRobot open AI platform combined with NVIDIA AI, Omniverse and Isaac robotics technology will enable researchers and developers to drive advances across a wide range of industries, including manufacturing, healthcare and logistics.

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Open source projects draw equity-free funding from corporates, startups, and even VCs

Flipboard

A dearth of funding for vital open source technologies is leading to a swath of support from startups, unicorns, corporations, and even venture capital firms. Last year, Bloomberg launched its FOSS (free and open source software) fund, committing up to $90,000 per year to various projects.

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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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PACT-3D: A High-Performance 3D Deep Learning Model for Rapid and Accurate Detection of Pneumoperitoneum in Abdominal CT Scans

Marktechpost

Delays or errors in diagnosing pneumoperitoneum, with air outside the intestines within the peritoneal cavity, can severely impact patient survival and health outcomes. In adults, most cases result from a perforated viscus, with up to 90% needing surgical intervention. While CT scans are the preferred diagnostic tool for their high accuracy, interpretation delays are common in busy emergency departments.

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Why There’s No Better Time to Learn LLM Development

Towards AI

Author(s): Towards AI Editorial Team Originally published on Towards AI. LLMs are already beginning to deliver significant efficiency savings and productivity boosts when assisting workflows for early adopters. However, a large amount of work has to be delivered to access the potential benefits of LLMs and build reliable products on top of these models.

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Fighting Against AI-Enabled Attacks – The Proper Defensive Strategy

Unite.AI

As AI-enabled threats proliferate, organizations must master how to prevent and defend against these types of attacks. One popular approach that is generating buzz is to use AI to defend against other, malicious AI. This is, however, only partly effective. AI can be used as a defensive shield, but only if employees have the knowledge to properly use it.

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Get Plugged In: How to Use Generative AI Tools in Obsidian

NVIDIA

Editor’s note: This post is part of the AI Decoded series , which demystifies AI by making the technology more accessible, and showcases new hardware, software, tools and accelerations for GeForce RTX PC and NVIDIA RTX workstation users. As generative AI evolves and accelerates industry, a community of AI enthusiasts is experimenting with ways to integrate the powerful technology into common productivity workflows.

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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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How ChatGPT Brought Down an Online Education Giant

Flipboard

Most companies are starting to figure out how artificial intelligence will change the way they do business. CheggCHGG0.00%increase; green up pointing triangle is trying to avoid becoming its first major victim.

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Levy flight and vectorizing a simulation in SAS

SAS Software

A previous article shows a simulation of two different models of a foraging animal. The first model is a random walk, which assumes that the animal chooses a random direction, then takes a step that is distributed according to a Gaussian random variable. In the second model, the animal again [.] The post Levy flight and vectorizing a simulation in SAS appeared first on SAS Blogs.

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Apple Public Betas Bring ChatGPT To Siri

Towards AI

Author(s): Get The Gist Originally published on Towards AI. Plus: Google’s Pixel Phone App to Get Gemini-Powered “AI Replies” This member-only story is on us. Upgrade to access all of Medium. Welcome to Get The Gist, where every weekday we share an easy-to-read summary of the latest and greatest developments in AI — news, innovations, and trends — all delivered in under 5 minutes!

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3 Data-Proven Ways Companies Can Increase AI Adoption and Boost Productivity

Unite.AI

As more companies explore how AI can drive productivity, one crucial aspect is often overlooked: how employees are actually adopting and using these tools in their day-to-day work. The question isn’t whether AI can enhance productivity—it’s how companies can effectively support employees at every stage of AI engagement to maximize ROI. As CEO of Prodoscore, a leading provider of employee productivity and data intelligence software, I’ve seen firsthand how AI adoption—or the lack of it—plays out

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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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Creating Interpretable Models with Atomic Inference

Marek Rei

This is a guest post from Joe Stacey about our quest to create interpretable Natural Language Inference (NLI) models. In this post he will share some of our ideas about interpretability, introduce the idea of atomic inference, and give an overview of the work in our 2022 and 2024 EMNLP papers [1,2]. At the end he’ll also share some of the other relevant papers that have inspired us along the way.

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How a researcher hacked ChatGPT's memory to expose a major security flaw

Flipboard

ChatGPT is an amazing tool, and its developer, OpenAI, keeps adding new features from time to time. Recently, the company introduced a new memory feature in ChatGPT, which essentially enables it to remember things about you.

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This AI Paper Introduces BitNet a4.8: A Highly Efficient and Accurate 4-bit LLM

Marktechpost

Large language models (LLMs) have become foundational in natural language processing, especially in applications where understanding complex text data is critical. These models require vast amounts of computational resources due to their size, posing latency, memory usage, and power consumption challenges. To make LLMs more accessible for scalable applications, researchers have been developing techniques to reduce the computational cost associated with these models without sacrificing accuracy a

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