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In this contributed article, Michela Taufer, Ph.D. and Chandra Krintz, Ph.D., highlight that as we unlock AI's full potential, society faces an unsettling paradox: the technology used to solve global problems may exacerbate one of our most pressing challenges - climate change.
Applications powered by large language models (LLMs) are revolutionizing the way businesses operate, from automating customer service to enhancing data analysis. In today’s fast-paced technological landscape, staying ahead means leveraging these powerful tools to their full potential. For instance, a global e-commerce company striving to provide exceptional customer support around the clock can implement LangChain to develop an intelligent chatbot.
In this contributed article, Mohsin Hussain, Chief Technology Officer at LiveRamp, believes that as AI models become more sophisticated and accessible, many companies are entering an AI “arms race.” To ensure success, companies must fortify their enterprise systems with more robust and higher-quality data.
Apache Airflow® 3.0, the most anticipated Airflow release yet, officially launched this April. As the de facto standard for data orchestration, Airflow is trusted by over 77,000 organizations to power everything from advanced analytics to production AI and MLOps. With the 3.0 release, the top-requested features from the community were delivered, including a revamped UI for easier navigation, stronger security, and greater flexibility to run tasks anywhere at any time.
To help you navigate this complex subject, we’ve compiled five free online courses that will give you a solid foundation in machine learning algorithms.
Amazon Rekognition people pathing is a machine learning (ML)–based capability of Amazon Rekognition Video that users can use to understand where, when, and how each person is moving in a video. This capability can be used for multiple use cases, such as for understanding: Retail analytics – Customer flow in the store and identifying high-traffic areas Sports analytics – Players’ movements across the field or court Industrial safety – Workers’ movement in work environments to promote compliance w
Machine learning (ML) helps organizations to increase revenue, drive business growth, and reduce costs by optimizing core business functions such as supply and demand forecasting, customer churn prediction, credit risk scoring, pricing, predicting late shipments, and many others. Conventional ML development cycles take weeks to many months and requires sparse data science understanding and ML development skills.
Sponsored Content In a groundbreaking move to enhance the career prospects of data and AI enthusiasts, 365 Data Science has unveiled InterviewAce, an innovative AI-driven.
To use Hugging Face Transformers for Text-to-Speech, load a pre-trained TTS model and input the text you want to convert to speech. The model will generate audio, which you can save or play directly.
Chatbots are becoming valuable tools for businesses, helping to improve efficiency and support employees. By sifting through troves of company data and.
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.
Unsloth is a user-friendly framework, offering fast inference and fine-tuning for large language models. It also supports saving models in multiple formats, including vLLM and GGUF.
In this post, we set up an agent using Amazon Bedrock Agents to act as a software application builder assistant. Agentic workflows are a fresh new perspective in building dynamic and complex business use- case based workflows with the help of large language models (LLM) as their reasoning engine or brain. These agentic workflows decompose the natural language query-based tasks into multiple actionable steps with iterative feedback loops and self-reflection to produce the final result using tools
InterviewAce is now available for free to all 365 Data Science users, marking a significant addition to the platform's suite of career development tools.
Speaker: Andrew Skoog, Founder of MachinistX & President of Hexis Representatives
Manufacturing is evolving, and the right technology can empower—not replace—your workforce. Smart automation and AI-driven software are revolutionizing decision-making, optimizing processes, and improving efficiency. But how do you implement these tools with confidence and ensure they complement human expertise rather than override it? Join industry expert Andrew Skoog as he explores how manufacturers can leverage automation to enhance operations, streamline workflows, and make smarter, data-dri
The AWS Generative AI Innovation Center (GenAIIC) is a team of AWS science and strategy experts who have deep knowledge of generative AI. They help AWS customers jumpstart their generative AI journey by building proofs of concept that use generative AI to bring business value. Since the inception of AWS GenAIIC in May 2023, we have witnessed high customer demand for chatbots that can extract information and generate insights from massive and often heterogeneous knowledge bases.
Private Cloud Compute (PCC) fulfills computationally intensive requests for Apple Intelligence while providing groundbreaking privacy and security protections â by bringing our industry-leading device security model into the cloud. To build public trust in our system, weâre making it possible for researchers to inspect and verify PCCâs security and privacy guarantees by releasing tools and resources including a comprehensive PCC Security Guide, the software binaries and source code of key
Recent methods have demonstrated that Large Language Models (LLMs) can solve reasoning tasks better when they are encouraged to solve subtasks of the main task first. In this paper we devise a similar strategy that breaks down reasoning tasks into a problem decomposition phase and a problem solving phase and show that the strategy is able to outperform a single stage solution.
Documents are the backbone of enterprise operations, but they are also a common source of inefficiency. From buried insights to manual handoffs, document-based workflows can quietly stall decision-making and drain resources. For large, complex organizations, legacy systems and siloed processes create friction that AI is uniquely positioned to resolve.
Where are we in the AI hype cycle? The initial shock of ChatGPT has subsided, and AI cynics now argue that progress in large language models (LLMs) has plateaued. Some argue that the hype is morphing into disillusion. In my opinion, this perception misses what’s most important. While big tech may be struggling to show […] The post AI-Powered E-Commerce Search: Navigating the Hype and Harnessing the Potential appeared first on DATAVERSITY.
The fastest Snapdragon X Elite on any Copilot+ PC and a gorgeous screen are pluses, but this laptop would be better with a little more RAM and a little more battery life.
Speaker: Ben Epstein, Stealth Founder & CTO | Tony Karrer, Founder & CTO, Aggregage
When tasked with building a fundamentally new product line with deeper insights than previously achievable for a high-value client, Ben Epstein and his team faced a significant challenge: how to harness LLMs to produce consistent, high-accuracy outputs at scale. In this new session, Ben will share how he and his team engineered a system (based on proven software engineering approaches) that employs reproducible test variations (via temperature 0 and fixed seeds), and enables non-LLM evaluation m
Computer vision is one of the most influential areas of artificial intelligence, changing nearly every aspect of our lives, on par with generative AI. From medical image analysis and autonomous vehicles to security systems, AI-powered computer vision is critical in enhancing safety, efficiency, and healthcare through technologies like object detection, facial recognition, and image classification.
A recent leak has given us a detailed look at what to expect from AMD’s upcoming Ryzen 7 9800X3D processor. According to a marketing slide obtained by VideoCardz , the 9800X3D will feature an 8% performance boost in gaming compared to its predecessor, the Ryzen 7 7800X3D. Set to launch officially on November 7th, this new processor has been generating considerable interest among enthusiasts, and the leaked information offers some insight into its expected capabilities, compatibility, and feature
In the accounting world, staying ahead means embracing the tools that allow you to work smarter, not harder. Outdated processes and disconnected systems can hold your organization back, but the right technologies can help you streamline operations, boost productivity, and improve client delivery. Dive into the strategies and innovations transforming accounting practices.
Runway has announced the release of its latest tool, Act-One, designed to enhance character animation with greater realism and expressiveness. This new addition to the Gen-3 Alpha suite marks a significant advancement in how generative models are used for creating live action and animated content. How does Runway’s Act-One work? Traditionally, creating facial animations requires complex workflows involving motion capture, manual face rigging, and multiple footage references.
Apple’s head of software, Craig Federighi, recently sat down with The Wall Street Journal to discuss the company’s cautious approach to artificial intelligence and the future of Siri. While Apple has been slower to roll out generative AI tools compared to competitors, Federighi stressed the importance of doing things the right way, with a focus on privacy and user experience.
Speaker: Chris Townsend, VP of Product Marketing, Wellspring
Over the past decade, companies have embraced innovation with enthusiasm—Chief Innovation Officers have been hired, and in-house incubators, accelerators, and co-creation labs have been launched. CEOs have spoken with passion about “making everyone an innovator” and the need “to disrupt our own business.” But after years of experimentation, senior leaders are asking: Is this still just an experiment, or are we in it for the long haul?
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