AI News

OCTOBER 7, 2024

A new study by researchers at King’s Business School and Wazoku has revealed that AI is transforming global problem-solving. The report found that nearly half (46%) of Wazoku’s 700,000-strong network of problem solvers had utilised generative AI (GenAI) to work on innovative ideas over the past year. This network – known as the Wazoku Crowd – comprises a diverse group of professionals including scientists, pharmacists, engineers, PhD students, CEOs, start-ups, and business leaders.

Big Data 289

Big Data AI AI Data Analysis 289

Unite.AI

OCTOBER 7, 2024

New research from the US presents a method to extract significant portions of training data from fine-tuned models. This could potentially provide legal evidence in cases where an artist's style has been copied, or where copyrighted images have been used to train generative models of public figures, IP-protected characters, or other content. From the new paper: original training images are seen in the row above, and the extracted images are depicted in the row below.

Algorithm 279

Algorithm Data Extraction Machine Learning Explainability 279

Analytics Vidhya

OCTOBER 7, 2024

Introduction Today, data systems evolve quickly, demanding efficient monitoring and response. Real-time change detection is essential to keeping systems stable, preventing failures, and ensuring business continuity. Microsoft’s open-source tool, Drasi, addresses this need by effortlessly detecting, monitoring, and responding to data changes across platforms, including relational and graph databases.

Automation 224

Automation Big Data Generative AI AI 224

Unite.AI

OCTOBER 7, 2024

The Agentforce is here. Salesforce wrapped another edition of its annual Dreamforce conference this September. Joining the swarms of attendees — and the swarms of Waymos shuttling them around an extra-cleaned San Francisco — we each now have a swarm of agents at our fingertips to transform work, neatly controlled within the Salesforce ecosystem. While Dreamforce is always a spectacle for its marketing-honed pronouncements of the future, this year provided an unexpectedly compelling vision of how

AI 189

AI AI Prompt Engineering Prompt Engineer 189

Speaker: Kevin Burke

AI is reshaping marketing and sales, empowering professionals to work smarter, faster, and more effectively. This webinar will provide a practical introduction to AI, focusing on its current applications, transformative potential, and strategies for successful implementation in your organization. Using real-world examples and actionable insights, we’ll examine how businesses are leveraging AI to increase efficiency, enhance personalization, and drive measurable results.

AI

Analytics Vidhya

OCTOBER 7, 2024

Introduction Imagine you’re an experienced Python developer who has mastered automating tasks, building web apps, and even experimenting with machine learning. Now, you’re interested in mobile app development but just imagining learning a new language such as Java or Kotlin seems overwhelming. Imagine I told you that you don’t have to begin from square one. […] The post Python in Android: Bringing Python Power to Mobile Apps appeared first on Analytics Vidhya.

Python 208

Python Machine Learning Automation Data Science 208

NVIDIA

OCTOBER 7, 2024

NVIDIA and Foxconn are building Taiwan’s largest supercomputer, marking a milestone in the island’s AI advancement. The project, Hon Hai Kaohsiung Super Computing Center, revealed Tuesday at Hon Hai Tech Day , will be built around NVIDIA’s groundbreaking Blackwell architecture and feature the GB200 NVL72 platform, which includes a total of 64 racks and 4,608 Tensor Core GPUs.

Large Language Models 127

Large Language Models Robotics AI AI 127

Unite.AI

OCTOBER 7, 2024

As climate change fuels increasingly severe weather events like floods, hurricanes, droughts, and wildfires, traditional disaster response methods are struggling to keep up. While advances in satellite technology, drones, and remote sensors allow for better monitoring, access to this vital data remains limited to a few organizations, leaving many researchers and innovators without the tools they need.

AI 147

AI AI Deep Learning AI Modeling 147

Extreme Tech

OCTOBER 7, 2024

The jellies appear to combine their stomachs and nervous systems in a form of fusion not seen in any other species.

126

126

databricks

OCTOBER 7, 2024

We are announcing the General Availability of Provider Usage Analytics for Databricks Marketplace providers. This feature lets you analyze lead generation and product.

124

124

Speaker: Joe Stephens, J.D., Attorney and Law Professor

Ready to cut through the AI hype and learn exactly how to use these tools in your legal work? Join this webinar to get practical guidance from attorney and AI legal expert, Joe Stephens, who understands what really matters for legal professionals! What You'll Learn: Evaluate AI Tools Like a Pro 🔍 Learn which tools are worth your time and how to spot potential security and ethics risks before they become problems.

AI

Extreme Tech

OCTOBER 7, 2024

While researchers at the US Geological Survey don't believe an eruption is imminent, six earthquakes in a single month isn't something to sneeze at.

119

119

Marktechpost

OCTOBER 7, 2024

Video Generation by LLMs is an emerging field with a promising growth trajectory. While Autoregressive Large Language Models (LLMs) have excelled in generating coherent and lengthy sequences of tokens in natural language processing, their application in video generation has been limited to short videos of a few seconds. To address this, researchers have introduced Loong, an auto-regressive LLM-based video generator capable of generating videos that span minutes.

LLM 116

LLM Large Language Models Natural Language Processing ML 116

Extreme Tech

OCTOBER 7, 2024

A second impact crater from the same time period as the Chicxulub crater shows the rock that wiped out the dinosaurs wasn't working alone.

119

119

Marktechpost

OCTOBER 7, 2024

Modern machine learning (ML) phenomena such as double descent and benign overfitting have challenged long-standing statistical intuitions, confusing many classically trained statisticians. These phenomena contradict fundamental principles taught in introductory data science courses, especially overfitting and the bias-variance tradeoff. The striking performance of highly overparameterized ML models trained to zero loss contradicts conventional wisdom about model complexity and generalization.

Machine Learning 116

Machine Learning ML Neural Network Deep Learning 116

Speaker: Carolyn Clark and Miriam Connaughton

Forget predictions, let’s focus on priorities for the year and explore how to supercharge your employee experience. Join Miriam Connaughton and Carolyn Clark as they discuss key HR trends for 2025—and how to turn them into actionable strategies for your organization. In this dynamic webinar, our esteemed speakers will share expert insights and practical tips to help your employee experience adapt and thrive.

AI

Extreme Tech

OCTOBER 7, 2024

The unannounced machine is noticeably speedier than its predecessor.

116

116

Marktechpost

OCTOBER 7, 2024

Recruitment is a dynamic process that has undergone tremendous transformation in recent years, with the adoption of new technologies playing a crucial role. One of the latest tools revolutionizing the recruitment landscape is OpenAI’s ChatGPT. With its advanced natural language processing capabilities, ChatGPT offers recruiters numerous opportunities to streamline their processes, improve candidate experiences, and make better-informed decisions.

ChatGPT 112

ChatGPT Automation Natural Language Processing Chatbots 112

Extreme Tech

OCTOBER 7, 2024

He could buy Intel, theoretically, and still have over $10 billion left for some renovation work.

116

116

Marktechpost

OCTOBER 7, 2024

Large language models (LLMs) have demonstrated remarkable in-context learning capabilities across various domains, including translation, function learning, and reinforcement learning. However, the underlying mechanisms of these abilities, particularly in reinforcement learning (RL), remain poorly understood. Researchers are attempting to unravel how LLMs learn to generate actions that maximize future discounted rewards through trial and error, given only a scalar reward signal.

Neural Network 111

Neural Network Large Language Models Algorithm LLM 111

Speaker: Joe Stephens, J.D., Attorney and Law Professor

Get ready to uncover what attorneys really need from you when it comes to trial prep in this new webinar! Attorney and law professor, Joe Stephens, J.D., will share proven techniques for anticipating attorney needs, organizing critical documents, and transforming complex information into compelling case presentations. Key Learning Objectives: Organization That Makes Sense 🎯 Learn how to structure and organize case materials in ways that align with how attorneys actually work and think.

Extreme Tech

OCTOBER 7, 2024

We could have affordable 8TB SSDs in just a few years.

111

111

Artificial Lawyer

OCTOBER 7, 2024

Dentons has done plenty with genAI already, such as developing one of the first internal LLM-based tools for general legal use, Fleet AI, but where is it now, and what is its strategy for this tech…

AI Strategy 108

AI Strategy LLM AI AI 108

Extreme Tech

OCTOBER 7, 2024

The BepiColombo mission won't be in Mercury's orbit for several years, but it was able to take some measurements during last year's flyby.

111

111

Marktechpost

OCTOBER 7, 2024

Recurrent neural networks (RNNs) have been foundational in machine learning for addressing various sequence-based problems, including time series forecasting and natural language processing. RNNs are designed to handle sequences of varying lengths by maintaining an internal state that captures information across time steps. However, these models often struggle with vanishing and exploding gradient issues, which reduce their effectiveness for longer sequences.

Neural Network 107

Neural Network Natural Language Processing Machine Learning Data Quality 107

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

AWS Machine Learning Blog

OCTOBER 7, 2024

Despite the proliferation of information and data in business environments, employees and stakeholders often find themselves searching for information and struggling to get their questions answered quickly and efficiently. This can lead to productivity losses, frustration, and delays in decision-making. A generative AI Slack chat assistant can help address these challenges by providing a readily available, intelligent interface for users to interact with and obtain the information they need.

Generative AI 104

Generative AI AI AI Natural Language Processing 104

Marktechpost

OCTOBER 7, 2024

Generative models based on diffusion processes have shown great promise in transforming noise into data, but they face key challenges in flexibility and efficiency. Existing diffusion models typically rely on fixed data representations (e.g., pixel-basis) and uniform noise schedules, limiting their ability to adapt to the structure of complex, high-dimensional datasets.

AI 107

AI AI ML AI Developer 107

IBM Journey to AI blog

OCTOBER 7, 2024

IBM Cloud® Virtual Private Cloud (VPC) is designed for secured cloud computing, and several features of our platform planning, development and operations help ensure that design. However, because security in the cloud is typically a shared responsibility between the cloud service provider and the customer, it’s essential for you to fully understand the layers of security that your workloads run on here with us.

Automation 100

Automation 100

Marktechpost

OCTOBER 7, 2024

In today’s rapidly evolving landscape, enterprise chatbots are becoming essential tools to enhance employee productivity by providing quick access to organizational knowledge. However, the journey to build effective, scalable, and secure Retrieval-Augmented Generation (RAG) systems is fraught with challenges. NVIDIA’s recent research offers a comprehensive solution with the FACTS framework, addressing issues such as content freshness, architecture, cost efficiency, testing, and secur

Chatbots 106

Chatbots Conversational AI Large Language Models AI 106

Advertisement

Many software teams have migrated their testing and production workloads to the cloud, yet development environments often remain tied to outdated local setups, limiting efficiency and growth. This is where Coder comes in. In our 101 Coder webinar, you’ll explore how cloud-based development environments can unlock new levels of productivity. Discover how to transition from local setups to a secure, cloud-powered ecosystem with ease.

Extreme Tech

OCTOBER 7, 2024

Now at 30% off, this AI-ready ultrabook saves you $300.

AI 98

AI AI 98

Marktechpost

OCTOBER 7, 2024

Dense geometry prediction in computer vision involves estimating properties like depth and surface normals for each pixel in an image. Accurate geometry prediction is critical for applications such as robotics, autonomous driving, and augmented reality, but current methods often require extensive training on labeled datasets and struggle to generalize across diverse tasks.

Convolutional Neural Networks 104

Convolutional Neural Networks Computer Vision Neural Network Robotics 104

ML @ CMU

OCTOBER 7, 2024

Introduction Text-to-image/video models like Midjourney, Imagen3, Stable Diffusion, and Sora can generate aesthetic, photo-realistic visuals from natural language prompts, for example, given “ Several giant woolly mammoths approach, treading through a snowy meadow… ”, Sora generates: But how do we know if these models generate what we desire? For example, if the prompt is “ The brown dog chases the black dog around a tree ”, how can we tell if the model shows the dogs “ chasing around a tree ” r

OpenAI 77

OpenAI LLM Automation Computer Vision 77