Sat.Oct 26, 2024 - Fri.Nov 01, 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 watsonx Platform: Compliance obligations to controls mapping

IBM Journey to AI blog

US regulators including the Office of the Comptroller of the Currency (OCC), Securities and Exchange Commission (SEC), Federal Reserve Board (FRB) and others mandate financial services organizations to prove that laws, rules and regulations (LRRs) are covered across their risk governance framework. This oversight helps ensure a secure and sound control environment that aligns with the organization’s risk tolerance and heightened regulatory standards.

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7 best transcript summarizers powered by AI

AssemblyAI

The transition to online communication—from sales calls to internal meetings to educational coursework—has created significant opportunities for new AI-powered tools and platforms that help individuals fully use all this digital data.  One predominant AI feature that has risen in popularity is AI-powered transcript summarizers. In addition to providing an immediate transcript of a virtual meeting or lecture (using AI speech-to-text ), AI transcript summarizers can summarize th

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Why AI Developers Are Buzzing About Claude 3.5’s Computer Use Feature

Unite.AI

Anthropic has just released Claude 3.5, a powerful new version of its LLM series. While this model brings improved reasoning and coding skills, the real excitement centers around a new feature called “Computer Use.” This capability lets developers guide Claude to interact with the computer like a person—navigating screens, moving cursors, clicking, and typing.

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Speeding Robotics Automation with AI

The $53 trillion manufacturing economy in the US is undergoing a major automation paradigm shift due to Artificial Intelligence (AI). Thanks to new practical frameworks, automation projects that were once impossible or inefficient to implement are now being fast-tracked, and robotics automation is becoming increasingly relevant to a growing number of users and scenarios.

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Classification of MRI Scans using Radiomics and MLP

Analytics Vidhya

Tumors, which are abnormal growths that can develop on brain tissues, pose significant challenges to the Central Nervous System. To detect unusual activities in the brain, we rely on advanced medical imaging techniques like MRI and CT scans. However, accurately identifying tumors can be complex due to their diverse shapes and textures, requiring careful analysis […] The post Classification of MRI Scans using Radiomics and MLP appeared first on Analytics Vidhya.

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Beyond Word Error Rate: Universal-2 Delivers Accuracy Where It Matters

AssemblyAI

Building AI applications with speech recognition should be straightforward: process audio, get structured data, take action. Yet despite the industry's claims of +90% accuracy, developers face a persistent challenge: the gap between raw audio files and reliable, structured outputs. The hidden cost of "good enough" speech-to-text Consider a simple example: Your application needs to parse "sarah.johnson@acme-corp.com" from an audio stream.

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Ashish Nagar, CEO & Founder of Level AI – Interview Series

Unite.AI

Ashish Nagar is the CEO and founder of Level AI , taking his experience at Amazon on the Alexa team to use artificial intelligence to transform contact center operations. With a strong background in technology and entrepreneurship, Ashish has been instrumental in driving the company’s mission to enhance the efficiency and effectiveness of customer service interactions through advanced AI solutions.

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8 Popular Tools for RAG Applications

Analytics Vidhya

In today’s AI landscape, the ability to integrate external knowledge into models, beyond the data they were initially trained on, has become a game-changer. This advancement is driven by Retrieval Augmented Generation, in short RAG. RAG allows AI systems to dynamically access and utilize external information. Various tools have emerged to simplify both the integration […] The post 8 Popular Tools for RAG Applications appeared first on Analytics Vidhya.

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Track, allocate, and manage your generative AI cost and usage with Amazon Bedrock

AWS Machine Learning Blog

As enterprises increasingly embrace generative AI , they face challenges in managing the associated costs. With demand for generative AI applications surging across projects and multiple lines of business, accurately allocating and tracking spend becomes more complex. Organizations need to prioritize their generative AI spending based on business impact and criticality while maintaining cost transparency across customer and user segments.

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Agentic AI Explained: Smarter Conversations, Better Experiences

AI has transformed how enterprises deliver customer service, enabling faster engagement, problem-solving, and cost savings. However, traditional AI Agents often rely on rigid conversation flows, risking customer trust when conversations stray from predefined paths. These limitations prevent businesses from fully realizing AI’s potential for cost-efficiency and productivity.

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On Device Llama 3.1 with Core ML

Machine Learning Research at Apple

Many app developers are interested in building on device experiences that integrate increasingly capable large language models (LLMs). Running these models locally on Apple silicon enables developers to leverage the capabilities of the user's device for cost-effective inference, without sending data to and from third party servers, which also helps protect user privacy.

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Upmetrics Review: Generating an AI Business Plan in Seconds

Unite.AI

Starting a business is no small feat! Did you know 23.2% of new businesses fail in their first year ? That's why having a clear, well-structured plan can make all the difference in crossing that daunting threshold. I recently came across Upmetrics. It's a cloud-based business planning tool that guides you through every stage of your business plan with a seamless, user-friendly experience!

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Building a Virtual Try-On Chatbot on WhatsApp with Flask, Twilio, and Gradio API

Analytics Vidhya

In today’s age of rapid technological advancements, virtual try-on chatbot are revolutionizing how users experience shopping by allowing them to “try on” garments before making a purchase. This article will walk you through a virtual try-on prototype built using Flask, Twilio’s WhatsApp API, and Hugging Face’s Gradio API, which enables users to send photos via WhatsApp and […] The post Building a Virtual Try-On Chatbot on WhatsApp with Flask, Twilio, and Gradio API appeared first on Analyt

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Create a generative AI–powered custom Google Chat application using Amazon Bedrock

AWS Machine Learning Blog

AWS offers powerful generative AI services , including Amazon Bedrock , which allows organizations to create tailored use cases such as AI chat-based assistants that give answers based on knowledge contained in the customers’ documents, and much more. Many businesses want to integrate these cutting-edge AI capabilities with their existing collaboration tools, such as Google Chat, to enhance productivity and decision-making processes.

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The AI Productivity Shift: How 3,000 Pros And 140K Users Are Transforming Work

Hubstaff’s new report, The AI Productivity Shift, highlights how 3,000+ professionals and 140,000+ users are transforming the way they work with AI. Adoption is high—85% are using AI—and the potential is just beginning. Teams that integrate AI into daily workflows report 77% faster task completion, 70% improved focus, and stronger results across the board.

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[The AI Show Episode 121]: New Claude 3.5 Sonnet and Computer Use, Wild OpenAI "Orion" Rumors, Dark Side of AI Companions & Ex-OpenAI Researcher Sounds Alarm on AGI

Marketing AI Institute

Next-gen models emerge while safety concerns reach a boiling point. Join Mike Kaput and Paul Roetzer as they unpack last weeks wave of AI updates, including Anthropic's Claude 3.5 models and computer use capabilities, plus the brewing rumors about OpenAI's "Orion" and Google's Gemini 2.0. In our other main topics, we review the tragic Florida case raising alarms about AI companion apps, and ex-OpenAI researcher Miles Brundage's stark warnings about AGI preparedness.

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William Falcon, Founder and CEO of Lightning AI – Interview Series

Unite.AI

Lightning AI is the creator of PyTorch Lightning , a framework designed for training and fine-tuning AI models, as well as Lightning AI Studio. PyTorch Lightning was initially developed by William Falcon in 2015 while he was at Columbia University. It was later open-sourced in 2019 during his PhD at NYU and Facebook AI Research, under the guidance of Kyunghyun Cho and Yann LeCun.

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ChatGPT Search: AI Search Engine Challenging Google Monopoly

Analytics Vidhya

Let’s start from the beginning!! With Google’s inception, our lives have become much easier than we ever imagined – if you want to explore any place before visiting, “Just Google It”; if you want to know about the history of the world dates back to the Stone Age, “Just Google It” and so on. However, […] The post ChatGPT Search: AI Search Engine Challenging Google Monopoly appeared first on Analytics Vidhya.

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Automate Amazon Bedrock batch inference: Building a scalable and efficient pipeline

AWS Machine Learning Blog

Amazon Bedrock is a fully managed service that offers a choice of high-performing foundation models (FMs) from leading AI companies such as AI21 Labs, Anthropic, Cohere, Meta, Mistral AI, Stability AI, and Amazon through a single API, along with a broad set of capabilities you need to build generative AI applications with security, privacy, and responsible AI.

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From Curiosity to Competitive Edge: How Mid-Market CEOs Are Using AI to Scale Smarter

Speaker: Lee Andrews, Founder at LJA New Media & Tony Karrer, Founder and CTO at Aggregage

This session will walk you through how one CEO used generative AI, workflow automation, and sales personalization to transform an entire security company—then built the Zero to Strategy framework that other mid-market leaders are now using to unlock 3.5x ROI. As a business executive, you’ll learn how to assess AI opportunities in your business, drive adoption across teams, and overcome internal resource constraints—without hiring a single data scientist.

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Harnessing the Power of Generative AI

Towards AI

Author(s): Mirko Peters Originally published on Towards AI. Generative AI offers unprecedented opportunities for businesses, but implementation challenges like governance, integration, and talent acquisition persist. Success lies in strategic planning and informed decision-making. This member-only story is on us. Upgrade to access all of Medium. Imagine a world where your organization can predict customer behavior almost before it happens or streamline operations with a wave of its digital wand.

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Optimizing Company Workflows with AI Agents: Myth or Reality?

Unite.AI

A Problem As more large companies invest in AI agents, viewing them as the future of operational efficiency, a growing wave of skepticism is emerging. While there’s excitement about the potential of these technologies, many organizations are finding that the reality often falls short of the hype. This disappointment can largely be attributed to two main issues: overhyped promises and the highly specific nature of business problems.

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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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Empower your generative AI application with a comprehensive custom observability solution

AWS Machine Learning Blog

Recently, we’ve been witnessing the rapid development and evolution of generative AI applications, with observability and evaluation emerging as critical aspects for developers, data scientists, and stakeholders. Observability refers to the ability to understand the internal state and behavior of a system by analyzing its outputs, logs, and metrics.

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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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Innovations in Analytics: Elevating Data Quality with GenAI

Towards AI

Last Updated on October 31, 2024 by Editorial Team Author(s): Jonas Dieckmann Originally published on Towards AI. Data analytics has become a key driver of commercial success in recent years. The ability to turn large data sets into actionable insights can mean the difference between a successful campaign and missed opportunities. However, data quality is still a major challenge: if the data that is fed into a model lacks quality/consistency, the resulting output will also be of low quality.

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Agentic AI: How Large Language Models Are Shaping the Future of Autonomous Agents

Unite.AI

After the rise of generative AI, artificial intelligence is on the brink of another significant transformation with the advent of agentic AI. This change is driven by the evolution of Large Language Models (LLMs) into active, decision-making entities. These models are no longer limited to generating human-like text; they are gaining the ability to reason, plan, tool-using, and autonomously execute complex tasks.

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Building an Earnings Report Agent with Swarm Framework

Analytics Vidhya

Imagine if you could automate the tedious task of analyzing earnings reports, extracting key insights, and making informed recommendations—all without lifting a finger. In this article, we’ll walk you through how to create a multi-agent system using OpenAI’s Swarm framework, designed to handle these exact tasks. You’ll learn how to set up and orchestrate three […] The post Building an Earnings Report Agent with Swarm Framework appeared first on Analytics Vidhya.

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How a company transformed employee HR experience with an AI assistant

IBM Journey to AI blog

IBM Build Partner Inspire for Solutions Development is a regional consulting firm that provides enterprise IT solutions across the Middle East. Jad Haddad , Head of AI at Inspire for Solutions Development has embraced the IBM watsonx™ AI and data platform to enhance the HR experience for its 450 employees. Next-gen HR for a next-gen workforce As a new generation of digital natives enters the workforce, we are seeing new expectations around the employee experience.

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Agent Tooling: Connecting AI to Your Tools, Systems & Data

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

There’s a lot of noise surrounding the ability of AI agents to connect to your tools, systems and data. But building an AI application into a reliable, secure workflow agent isn’t as simple as plugging in an API. As an engineering leader, it can be challenging to make sense of this evolving landscape, but agent tooling provides such high value that it’s critical we figure out how to move forward.

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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

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AI’s Growing Role in Combating Deforestation

Unite.AI

Deforestation has been an ongoing problem for decades. Even as technology has advanced, offenders have held the advantage because there’s simply too much land to cover — until now. Could artificial intelligence be the key to putting an end to illegal deforestation? Both its potential and real-world use cases show promise. 1. Identify Optimal Reforestation Areas Although deforestation rates fluctuate, more trees are lost yearly.

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Make Your Own AI Image Generator with Bria 2.3 Model

Analytics Vidhya

Bria AI is a generative AI platform for the production of professional-grade visual content, mainly for enterprises. Established in 2020, they have the tools there, including text-to-image generation, editing with inpainting, background removal, and more. They design their models with responsible AI use in mind, utilizing licensed data to ensure compliance and ethical practices.