Mon.Oct 28, 2024

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MIT breakthrough could transform robot training

AI News

MIT researchers have developed a robot training method that reduces time and cost while improving adaptability to new tasks and environments. The approach – called Heterogeneous Pretrained Transformers (HPT) – combines vast amounts of diverse data from multiple sources into a unified system, effectively creating a shared language that generative AI models can process.

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IBM Granite-3.0 Model: A Guide to Model Setup and Usage

Analytics Vidhya

IBM’s latest addition to its Granite series, Granite 3.0, marks a significant leap forward in the field of large language models (LLMs). Granite 3.0 provides enterprise-ready, instruction-tuned models with an emphasis on safety, speed, and cost-efficiency focused on balancing power and practicality. The Granite 3.0 series enhances IBM’s AI offerings, particularly in domains where precision, […] The post IBM Granite-3.0 Model: A Guide to Model Setup and Usage appeared first on Analytics Vid

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Fighting AI with AI in the Modern Threat Landscape

Unite.AI

It’s not exactly breaking news to say that AI has dramatically changed the cybersecurity industry. Both attackers and defenders alike are turning to artificial intelligence to uplevel their capabilities, each striving to stay one step ahead of the other. This cat-and-mouse game is nothing new—attackers have been trying to outsmart security teams for decades, after all—but the emergence of artificial intelligence has introduced a fresh (and often unpredictable) element to the dynamic.

AI 173
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Setting up Custom Tools and Agents in LangChain

Analytics Vidhya

This guide dives into building a custom conversational agent with LangChain, a powerful framework that integrates Large Language Models (LLMs) with a range of tools and APIs. Designed for versatility, the agent can tackle tasks like generating random numbers, sharing philosophical insights, and dynamically fetching and extracting content from webpages.

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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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Winners of the Essay competition on the Automation of Wisdom and Philosophy

AI Impacts

We’re delighted to announce the winners of the Essay competition on the Automation of Wisdom and Philosophy. Overview The competition attracted 90 entries in total (only one of which was obviously just the work of an LLM!), taking a wide variety of angles on the topic. The judges awarded the top four prizes as follows: $7,000 to Rudolf Laine for essays on wisdom, amortised optimisation, and AI: Part I: Wisdom, amortised optimisation, and AI Part II: Growth and amortised optimisation Part I

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LLMWare Introduces Model Depot: An Extensive Collection of Small Language Models (SLMs) for Intel PCs

Marktechpost

LLMWare.ai , a pioneer in deploying and fine-tuning Small Language Models (SLMs) announced today the launching of Model Depot in Hugging Face, one of the largest collections of SLMs that are optimized for Intel PCs. With over 100 models spanning multiple use cases such as chat, coding, math, function calling, and embedding models, Model Depot aims to provide to the open-source AI community an unprecedented collection of the latest SLMs that are optimized for Intel-based PCs in Intel’s OpenVINO a

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A Comprehensive Guide to YOLOv11 Object Detection

Analytics Vidhya

In today’s world of video and image analysis, detector models play a vital role in the technology. They should be ideally accurate, speedy and scalable. Their applications vary from small factory detection tasks to self-driving cars and also help in advanced image processing. The YOLO (You Only Look Once) model has purely pushed the boundaries […] The post A Comprehensive Guide to YOLOv11 Object Detection appeared first on Analytics Vidhya.

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JetBrains Researchers Introduce CoqPilot: A Plugin for LLM-Based Generation of Proofs

Marktechpost

In recent years, formal software verification has gained prominence, especially in fields where software reliability is critical, such as aerospace engineering, finance, and healthcare. Proof assistants like Coq have been instrumental in ensuring the correctness of software by enabling developers to create mathematical proofs to verify their code. However, writing such formal proofs is a labor-intensive and time-consuming task, requiring considerable expertise.

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7 Ways to Celebrate this Festive Season with Generative AI

Analytics Vidhya

Are you all set for the upcoming holidays? Or are you bogged down by all the time and effort it’s taking to make all the arrangements? These festivals have become yet another project that we wish to ace, no? Much like any professional project that we take up these days, we can get assistance for […] The post 7 Ways to Celebrate this Festive Season with Generative AI appeared first on Analytics Vidhya.

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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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Nintendo Switch 2 Could Be Announced This Week: Rumor

Extreme Tech

After an upcoming remaster was said to be compatible with 'Nintendo platforms,' fans began to speculate that the Switch 2 announcement would come before Nintendo's Nov. 5 earnings report.

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Google AI Introduces Iterative BC-Max: A New Machine Learning Technique that Reduces the Size of Compiled Binary Files by Optimizing Inlining Decisions

Marktechpost

When applying Reinforcement Learning (RL) to real-world applications, two key challenges are often faced during this process. Firstly, the constant online interaction and update cycle in RL places major engineering demands on large systems designed to work with static ML models needing only occasional offline updates. Secondly, RL algorithms usually start from scratch, relying solely on information gathered during these interactions, limiting both their efficiency and adaptability.

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I Decided To Experiment With AI And To See What I Can Make In Just 24 Hours (18 Pics)

Flipboard

To learn more about current AI capabilities and to challenge myself, I decided to see what I could create in just 24 hours. This story is about making a complete music video clip, from start to finish, using AI tools. Everything in this music video is AI-generated, and I mean EVERYTHING: lyrics, music, voice, images, and videos.

AI Tools 110
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LongRAG: A Robust RAG Framework for Long-Context Question Answering

Marktechpost

Large Language Models (LLMs) have revolutionized long-context question answering (LCQA), a complex task requiring reasoning over extensive documents to provide accurate answers. While recent long-context LLMs like Gemini and GPT4-128k can process entire documents directly, they struggle with the “lost in the middle” phenomenon, where relevant information in the middle of documents often leads to suboptimal or incorrect responses.

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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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Customized model monitoring for near real-time batch inference with Amazon SageMaker

AWS Machine Learning Blog

Real-world applications vary in inference requirements for their artificial intelligence and machine learning (AI/ML) solutions to optimize performance and reduce costs. Examples include financial systems processing transaction data streams, recommendation engines processing user activity data, and computer vision models processing video frames. In these scenarios, customized model monitoring for near real-time batch inference with Amazon SageMaker is essential, making sure the quality of predic

ML 105
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ConceptDrift: An AI Method to Identify Biases Using a Weight-Space Approach Moving Beyond Traditional Data-Restricted Protocols

Marktechpost

Datasets and pre-trained models come with intrinsic biases. Most methods rely on spotting them by analyzing misclassified samples in a semi-automated human computer validation. Deep neural networks, typically fine-tuned foundational models, are widely used in sectors like healthcare, finance, and criminal justice, where biased predictions can have serious societal impacts.

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What's new in TensorFlow 2.18

TensorFlow

Posted by the TensorFlow team TensorFlow 2.18 has been released! Highlights of this release (and 2.17) include NumPy 2.0, LiteRT repository, CUDA Update, Hermetic CUDA and more. For the full release notes, please click here. Note: Release updates on the new multi-backend Keras will be published on keras.io , starting with Keras 3.0. For more information, please see [link].

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How Do We Train Junior Lawyers In The Age of AI?

Artificial Lawyer

The questions keep coming up: if genAI will increasingly be able to do process-level work, what happens to the most junior associates? What work will.

AI 126
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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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Top 10 Free AI Playgrounds For You to Try

Marktechpost

Curious about the future of AI? Want to witness firsthand how AI can generate creative text, code, or even art? AI playgrounds offer a hands-on experience to explore the limitless possibilities of artificial intelligence. Here is a list of ten free platforms that empower you to shape the future of AI. First, let us understand what is an AI playground.

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Bring Receipts: New NVIDIA AI Workflow Detects Fraudulent Credit Card Transactions

NVIDIA

Financial losses from worldwide credit card transaction fraud are expected to reach $43 billion by 2026. A new NVIDIA AI workflow for fraud detection running on Amazon Web Services (AWS) can help combat this burgeoning epidemic — using accelerated data processing and advanced algorithms to improve AI’s ability to detect and prevent credit card transaction fraud.

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Jupyter Releaser: Streamlining Software Releases for the Jupyter Ecosystem

Marktechpost

The open-source community and developers everywhere are no strangers to the challenges that come with software release management. From maintaining consistency in how releases are handled across different repositories to the tedious and error-prone manual processes involved, releasing new versions of software can be a daunting task. Jupyter, the popular open-source project behind Jupyter Notebook and other data science tools, has faced these challenges across its many repositories and components

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Google DeepMind Develops AI Conflict Mediator

Extreme Tech

The system is designed to help people or groups with opposing viewpoints understand each other, but its achievements are fairly weak so far.

AI 114
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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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Researchers from Intel and Salesforce Propose SynthKG: A Multi-Step Document-Level Ontology-Free Knowledge Graphs Synthesis Workflow based on LLMs

Marktechpost

Knowledge Graph (KG) synthesis is gaining traction in artificial intelligence research because it can construct structured knowledge representations from expansive, unstructured text data. These structured graphs have pivotal applications in areas requiring information retrieval and reasoning, such as question answering, complex data summarization, and retrieval-augmented generation (RAG).

LLM 104
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NeRFs Explained: Goodbye Photogrammetry?

PyImageSearch

Home Table of Contents NeRFs Explained: Goodbye Photogrammetry? How Do NeRFs Work? Block #A: We Begin with a 5D Input Block #B: The Neural Network and Its Output Block #C: Volumetric Rendering The NeRF Problem and Evolutions Summary and Next Steps Next Steps Citation Information NeRFs Explained: Goodbye Photogrammetry? In this blog post, you will learn about 3D Reconstruction.

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This AI Paper Introduces Optimal Covariance Matching for Efficient Diffusion Models

Marktechpost

Probabilistic diffusion models have become essential for generating complex data structures such as images & videos. These models transform random noise into structured data, achieving high realism and utility across various domains. The model operates through two phases: a forward phase that gradually corrupts data with noise and a reverse phase that systematically reconstructs coherent data.

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Google Explores Dynamic Island-Like Feature for Android 16

Extreme Tech

Android 16 may introduce Dynamic Island-like 'Rich Ongoing Notifications,' enhancing the user experience with interactive, pill-shaped status bar chips.

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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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Computational Bottlenecks of Training Small-Scale Large Language Models

Machine Learning Research at Apple

This paper was accepted at the Efficient Natural Language and Speech Processing (ENLSP) workshop at NeurIPS Workshop 2024. While large language models (LLMs) dominate the AI landscape, Small-scale large Language Models (SLMs) are gaining attention due to cost and efficiency demands from consumers. However, there is limited research on the training behavior and computational requirements of SLMs.

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Intel Cuts Billion-Dollar Penalty From the Pentium 4 Era by More Than Half

Extreme Tech

The chipmaker convinced an EU court to scuttle most of a long-running antitrust suit, but as much as $400 million remains.

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Fintech Leaders Tap Generative AI for Safer, Faster, More Accurate Financial Services

NVIDIA

An overwhelming 91% of financial services industry (FSI) companies are either assessing artificial intelligence or already have it in the bag as a tool that’s driving innovation, improving operational efficiency and enhancing customer experiences. Generative AI — powered by NVIDIA NIM microservices and accelerated computing — can help organizations improve portfolio optimization, fraud detection , customer service and risk management.