Sat.Nov 02, 2024 - Fri.Nov 08, 2024

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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.

AI Tools 306
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AI hallucinations gone wrong as Alaska uses fake stats in policy

AI News

The combination of artificial intelligence and policymaking can occasionally have unforeseen repercussions, as seen recently in Alaska. In an unusual turn of events, Alaska legislators reportedly used AI-generated citations that were inaccurate to justify a proposed policy banning cellphones in schools. As reported by /The Alaska Beacon/, Alaska’s Department of Education and Early Development (DEED) presented a policy draft containing references to academic studies that simply did not exist.

Big Data 298
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Hands-on Guide to Building Multi-Agent Chatbots with Autogen

Analytics Vidhya

Chatbots have evolved from simple question-answer systems to sophisticated, intelligent agents capable of handling complex conversations. As interactions in various fields become more nuanced, the demand for chatbots that can seamlessly manage multiple participants and complex workflows grows. Thanks to frameworks like AutoGen, creating dynamic multi-agent environments is now more accessible.

Chatbots 224
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The race to AI integration

AssemblyAI

AI burst onto the scene in record speed and hasn’t slowed down since. Initially an experimental leap toward internal efficiency, AI quickly transformed into a core pillar of product strategies across nearly every industry. The mounting pressure on businesses to adopt and integrate AI has never been greater—in fact, more than 90% of organizations already have.

AI 147
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The Ultimate Blueprint for an AI-First Contact Center

Start building the AI workforce of the future with our comprehensive guide to creating an AI-first contact center. Learn how Conversational and Generative AI can transform traditional operations into scalable, efficient, and customer-centric experiences. What is AI-First? Transition from outdated, human-first strategies to an AI-driven approach that enhances customer engagement and operational efficiency.

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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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50+ Generative AI Interview Questions

Analytics Vidhya

Generative AI is a newly developed field booming exponentially with job opportunities. Companies are looking for candidates with the necessary technical abilities and real-world experience building AI models. This list of interview questions includes descriptive answer questions, short answer questions, and MCQs that will prepare you well for any generative AI interview.

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How Is AI Changing the Science of Prediction?

Flipboard

With lots of data, a strong model and statistical thinking, scientists can make predictions about all sorts of complex phenomena. Today, this practice is evolving to harness the power of machine learning and massive datasets. In this episode, co-host Steven Strogatz speaks with statistician Emmanuel Candès about black boxes, uncertainty and the power of inductive reasoning.

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How Google’s AlphaChip is Redefining Computer Chip Design

Unite.AI

The evolution of artificial intelligence (AI) is rapidly changing how we work, learn, and connect, transforming industries around the globe. This shift is primarily driven by AI's advanced ability to learn from larger datasets. While bigger models boost AI's data processing power, they also require more processing power and energy efficiency. As AI models become more complex, traditional chip design struggles to keep pace with the speed and efficiency needed for modern applications.

Algorithm 255
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Project Jarvis leak reveals Google’s vision for next-gen Gemini

AI News

Google has big hopes for AI, as evidenced by the consistent improvements to its Gemini chatbot in recent months. Google briefly introduced its vision for a “universal AI agent” aimed to help users with daily tasks at the I/O developer conference in May, hinting that elements of the technology could be incorporated into Gemini soon. Recent insights from The Information have shed more light on its initiative, known internally as Project Jarvis.

Big Data 276
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The Intersection of AI and Sales: Personalization Without Compromise

Speaker: Jesse Hunter and Brynn Chadwick

Today’s buyers expect more than generic outreach–they want relevant, personalized interactions that address their specific needs. For sales teams managing hundreds or thousands of prospects, however, delivering this level of personalization without automation is nearly impossible. The key is integrating AI in a way that enhances customer engagement rather than making it feel robotic.

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Build an AI-Powered Valorant E-sports Manager with AWS Bedrock

Analytics Vidhya

AI is the future and there’s no doubt it will make headway into the entertainment and E-sports industries. Given the extreme competitiveness of E-sports, gamers would love an AI assistant or manager to build the most elite team with maximum edge. Such tools could in theory use vast data and find patterns or even strategies […] The post Build an AI-Powered Valorant E-sports Manager with AWS Bedrock appeared first on Analytics Vidhya.

AI 270
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Auto-generate subtitles with Python and AssemblyAI

AssemblyAI

Providing subtitles is an excellent way for creators to make their videos accessible to a broader audience, such as non-native speakers and those who are hard of hearing. Unfortunately, creating subtitles yourself is both tedious and time-consuming. In this tutorial, you'll learn how to use AssemblyAI to transcribe videos and automatically generate accurate and high-quality subtitles.

Python 147
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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!

AI 289
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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.

Big Data 273
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How to Achieve High-Accuracy Results When Using LLMs

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

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AI Agents for Decision Makers: Your Guide to Building Next-Gen Enterprises

Analytics Vidhya

Senior leaders, including CXOs, constantly face the challenge of having to quickly make informed decisions that shape the future of their organizations. This decision-making process can often become overwhelming, owing to the ever-increasing volume of data and the complexity of modern business. Fortunately, advancements in artificial intelligence (AI) are bringing out innovative solutions and tools […] The post AI Agents for Decision Makers: Your Guide to Building Next-Gen Enterprises appe

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My New Book on NLG

Ehud Reiter

My new book Natural Language Generation has just been published. It takes a similar approach to my blog in many ways (indeed blog readers will find content from my blogs in the book). Its a book about NLG in the broad sense, including requirements, evaluation, and use cases, as well as technology; its not a book about how machine learning can be used for NLG (although this is of course discussed).

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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

AI Tools 276
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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.

LLM 128
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Zero Trust Mandate: The Realities, Requirements and Roadmap

The DHS compliance audit clock is ticking on Zero Trust. Government agencies can no longer ignore or delay their Zero Trust initiatives. During this virtual panel discussion—featuring Kelly Fuller Gordon, Founder and CEO of RisX, Chris Wild, Zero Trust subject matter expert at Zermount, Inc., and Principal of Cybersecurity Practice at Eliassen Group, Trey Gannon—you’ll gain a detailed understanding of the Federal Zero Trust mandate, its requirements, milestones, and deadlines.

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Simplify Your Day With Generative AI

Analytics Vidhya

Imagine waking up to an alarm that automatically changes based on your sleep quality, a digital assistant that understands your emotions to recommend the ideal breakfast, and a music selection that adapts to your morning activities. Doesn’t it seem like something out of a sci-fi movie? That is what we feel now, but soon enough […] The post Simplify Your Day With Generative AI appeared first on Analytics Vidhya.

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Enhance customer support with Amazon Bedrock Agents by integrating enterprise data APIs

AWS Machine Learning Blog

Generative AI has transformed customer support, offering businesses the ability to respond faster, more accurately, and with greater personalization. AI agents , powered by large language models (LLMs), can analyze complex customer inquiries, access multiple data sources, and deliver relevant, detailed responses. In this post, we guide you through integrating Amazon Bedrock Agents with enterprise data APIs to create more personalized and effective customer support experiences.

DevOps 127
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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.

AI 264
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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

Robotics 134
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The New CX: Your Guide to AI Agents

The guide for revolutionizing the customer experience and operational efficiency This eBook serves as your comprehensive guide to: AI Agents for your Business: Discover how AI Agents can handle high-volume, low-complexity tasks, reducing the workload on human agents while providing 24/7 multilingual support. Enhanced Customer Interaction: Learn how the combination of Conversational AI and Generative AI enables AI Agents to offer natural, contextually relevant interactions to improve customer exp

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Does the Rise of AI-generated Content Affect Model Training?

Analytics Vidhya

Recently, there’s been a surge of tools claiming to detect AI-generated content with impressive accuracy. But can they really do what they promise? Let’s find out! A recent tweet by Christopher Penn exposes a major flaw: an AI detector confidently declared that the US Declaration of Independence was 97% AI-generated. Yes, a document written over 240 […] The post Does the Rise of AI-generated Content Affect Model Training?

AI 208
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Integrate foundation models into your code with Amazon Bedrock

AWS Machine Learning Blog

The rise of large language models (LLMs) and foundation models (FMs) has revolutionized the field of natural language processing (NLP) and artificial intelligence (AI). These powerful models, trained on vast amounts of data, can generate human-like text, answer questions, and even engage in creative writing tasks. However, training and deploying such models from scratch is a complex and resource-intensive process, often requiring specialized expertise and significant computational resources.

NLP 116
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Artem Rodichev CEO & Founder of Ex-human – Interview Series

Unite.AI

Artem Rodichev is the Founder and CEO of Ex-human , a company focused on building empathetic AI characters for engaging conversations. Before founding Ex-human, Artem was the Head of AI at Replika from 2017 to 2021, where he led the development one of the most popular English-speaking chatbots, growing its user base to 10 million in the U.S. You spent several years as Head of AI at Replika, building one of the most popular conversational AIs.

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#48 Interpretability Might Not Be What Society Is Looking for in AI

Towards AI

Author(s): Towards AI Editorial Team Originally published on Towards AI. Good morning, AI enthusiasts! This week, we are diving into some very interesting resources on the AI ‘black box problem’, interpretability, and AI decision-making. Parallely, we also dive into Anthropic’s new framework for assessing the risk of AI models sabotaging human efforts to control and evaluate them.

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Relevance, Reach, Revenue: How to Turn Marketing Trends From Hype to High-Impact

Speaker: Alexa Acosta, Director of Growth Marketing & B2B Marketing Leader

Marketing is evolving at breakneck speed—new tools, AI-driven automation, and changing buyer behaviors are rewriting the playbook. With so many trends competing for attention, how do you cut through the noise and focus on what truly moves the needle? In this webinar, industry expert Alexa Acosta will break down the most impactful marketing trends shaping the industry today and how to turn them into real, revenue-generating strategies.

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How Can Meta AI on WhatsApp Transform Your Mobile Experience?

Analytics Vidhya

The integration of Meta AI into WhatsApp is transforming our mobile experience. Meta has launched its virtual assistant across its various platforms: Facebook, Instagram, WhatsApp, and Messenger. This advanced chatbot uses the company’s most powerful language model, which is currently Llama 3.2, to offer context-aware interactions that boost productivity and engagement.

Chatbots 208
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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

Python 118
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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?

Robotics 263