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People in Japan treat cooperative artificial agents with the same level of respect as they do humans, while Americans are significantly more likely to exploit AI for personal gain, according to a new study published in Scientific Reports by researchers from LMU Munich and Waseda University Tokyo. As self-driving vehicles and other AI autonomous robots become increasingly integrated into daily life, cultural attitudes toward artificial agents may determine how quickly and successfully these techn
The actual text for the post content appears below. Text will appear on the homepage, i.e., [link] but we only show part of theac posts on the homepage. The rest is accessed via clicking 'Continue'. This is enforced with the `more` excerpt separator. --> PLAID is a multimodal generative model that simultaneously generates protein 1D sequence and 3D structure, by learning the latent space of protein folding models.
Midjourney has announced the alpha release of its V7 image generation model for testing by the AI community. The new model packs improvements in text prompt understanding, image quality, and feature coherence. V7 is an amazing model. Its much smarter with text prompts, image prompts look fantastic, image quality is noticeably higher with beautiful textures, and bodies, hands, and objects of all kinds have significantly better coherence on all details, Midjourney explained.
Imagine having a casual chat online, assuming you’re speaking to a real person. But what if its not? What if, behind the screen, its an AI model trained to sound human? In a recent 2025 study, researchers from UC San Diego found that large language models like GPT-4.5 could convincingly pass as human, sometimes more […] The post AI Passes the Turing Test: How Are LLMs Like GPT-4.5 Fooling Humans?
Document-heavy workflows slow down productivity, bury institutional knowledge, and drain resources. But with the right AI implementation, these inefficiencies become opportunities for transformation. So how do you identify where to start and how to succeed? Learn how to develop a clear, practical roadmap for leveraging AI to streamline processes, automate knowledge work, and unlock real operational gains.
It's a fact of life that automation can make us lazier. Usually, the tradeoffs are worth it. But it feels more pernicious with AI Chatbots, which offer to basically automate thinking itself. Th at's what Sam Schechner, a tech reporter for The Wall Street Journal , began to wise up to after developing a nasty ChatGPT habit. "Artificial intelligence was eating my brain," he wrote in a recent essay for the newspaper.
Financial platforms today enable users to access almost every financial service or product online from the convenience of their homes. The fintech revolution has been gaining momentum over the years, helping companies provide robust services and solutions to customers without the limitation of geographical distances. While a lot of emerging technologies are playing a role in the evolution of the finance industry, the AI revolution is one of the most prominent.
Financial platforms today enable users to access almost every financial service or product online from the convenience of their homes. The fintech revolution has been gaining momentum over the years, helping companies provide robust services and solutions to customers without the limitation of geographical distances. While a lot of emerging technologies are playing a role in the evolution of the finance industry, the AI revolution is one of the most prominent.
Cloud usage continues to soar, as do its associated costs particularly, of late, those driven by AI. Gartner analysts predict worldwide end-user spending on public cloud services will swell to $723.4 billion in 2025 , up from just under $600 billion in 2024. And 70% of executives surveyed in an IBM report cited generative AI as a critical driver of this increase.
Enterprises increasingly adopt agentic frameworks to build intelligent systems capable of performing complex tasks by chaining tools, models, and memory components. However, as organizations build these systems across multiple frameworks, challenges arise regarding interoperability, observability, performance profiling, and workflow evaluation. Teams are often locked into particular frameworks, making it hard to scale or reuse agents and tools across different contexts.
Imagine you have a single photograph of a person and wish to see them come alive in a video, moving and expressing emotions naturally. ByteDance’s latest AI-powered model, DreamActor-M1, makes this possible by transforming static images into dynamic, realistic animations. This article explores how DreamActor-M1 works, its technical design, and the important ethical considerations that […] The post ByteDance’s DreamActor-M1 Turns Photos into Videos appeared first on Analytics Vi
Got the Receipts OpenAI's latest image-generating 4o model is surprisingly good at generating text inside images, a feat that had proved particularly difficult for its many predecessors. And that makes it a powerful tool for generating images of fraudulent documents, as users have found. Case in point, Menlo Ventures principal Deedy Das tweeted a photo of a fake receipt for a lavish meal at a real San Francisco steakhouse, as spotted by TechCrunch.
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.
The EU AI Act, which came into effect on August 1, 2024, marks a turning point in the regulation of artificial intelligence. Aimed at governing the use and development of AI, it imposes rigorous standards for organisations operating within the EU or providing AI-driven products and services to its member states. Understanding and complying with the Act is essential for UK businesses seeking to compete in the European market.
Canada has a remarkable claim to fame in the realm of artificial intelligence. While the United States and China dominate the global stage with massive venture capital flows and booming tech giants, Canadians can point to many of AIs pioneering mindsfrom Geoffrey Hinton, often hailed as the Godfather of Deep Learning , to Ilya Sutskever, co-founder of OpenAI, and Joelle Pineau, formerly a leading research director at Meta AI until his announced departure all with roots in Canadian labs and univ
NVIDIA is collaborating with Google Cloud to bring agentic AI to enterprises seeking to locally harness the Google Gemini family of AI models using the NVIDIA Blackwell HGX and DGX platforms and NVIDIA Confidential Computing for data safety. With the NVIDIA Blackwell platform on Google Distributed Cloud, on-premises data centers can stay aligned with regulatory requirements and data sovereignty laws by locking down access to sensitive information, such as patient records, financial transactions
Text generation models are exceptional tools for both research purposes and applications. One of their strengths is their capabilities, which come from their architecture, training, and large datasets. These features shape how these models work. TeapotAIs open-source model is a good example of a model that stands out with its work in TeapotLLM. This is […] The post Try TeapotLLM for Reliable Q&A, RAG, and Info Extraction appeared first on Analytics Vidhya.
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.
Organizations are increasingly using multiple large language models (LLMs) when building generative AI applications. Although an individual LLM can be highly capable, it might not optimally address a wide range of use cases or meet diverse performance requirements. The multi-LLM approach enables organizations to effectively choose the right model for each task, adapt to different domains, and optimize for specific cost, latency, or quality needs.
We already find ourselves at an inflection point with AI. According to a recent study by McKinsey, weve reached the turning point where businesses must look beyond automation and towards AI-driven reinvention to stay ahead of the competition. While the era of AI-driven acceleration isnt over, a new phase has already begun one that goes beyond making existing workflows more efficient and moves toward replacing existing workflows and/or creating new ones.
In recent years, the AI field has been captivated by the success of large language models (LLMs). Initially designed for natural language processing, these models have evolved into powerful reasoning tools capable of tackling complex problems with human-like step-by-step thought process. However, despite their exceptional reasoning abilities, LLMs come with significant drawbacks, including high computational costs and slow deployment speeds, making them impractical for real-world use in resource
The future of robotics has advanced significantly. For many years, there have been expectations of human-like robots that can navigate our environments, perform complex tasks, and work alongside humans. Examples include robots conducting precise surgical procedures, building intricate structures, assisting in disaster response, and cooperating efficiently with humans in various settings such as factories, offices, and homes.
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
At a time when major AI companies make the slightest of an update in their interface – a breakthrough moment; Meta AI has redefined this culture. Launching not one but THREE models on the same day under the Llama 4 herd. Llama 4 consists of three models: Scout, Maverick, and Behemoth. Each is designed with […] The post Llama 4 Models: Meta AI is Open Sourcing the Best!
In 2014, Stephen Hawking voiced grave warnings about the threats of artificial intelligence. His concerns were not based on any anticipated evil intent, though. Instead, it was from the idea of AI achieving singularity. This refers to the point when AI surpasses human intelligence and achieves the capacity to evolve beyond its original programming, making it uncontrollable.
The promise of AI is that it’ll make all of our lives easier. And with great convenience comes the potential for serious profit. The United Nations thinks AI could be a $4.8 trillion global market by 2033 about as big as the German economy. But forget about 2033: in the here and now, AI is already fueling transformation in industries as diverse as financial services, manufacturing, healthcare, marketing, agriculture, and e-commerce.
Have you ever stared at a massive document with the deadline looming and thought, Theres no way Im getting through all of this? Weve all been there, drowning in tabs, buried under PDFs, and juggling half-finished Google Docs. Whether you're a student piecing together a paper , a creator wrestling with research , or a professional trying to make sense of endless reports, the chaos is real.
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.
OpenAIs GPT-4o represents a new milestone in multimodal AI: a single model capable of generating fluent text and high-quality images in the same output sequence. Unlike previous systems (e.g., ChatGPT) that had to invoke an external image generator like DALL-E, GPT-4o produces images natively as part of its response. This advance is powered by a novel Transfusion architecture described in 2024 by researchers at Meta AI, Waymo, and USC.
AI tools are changing how developers work, and Devin 2.0 is part of that shift. Built by Cognition AI, it improves on the previous version in many ways. Devin 2.0 is faster, more efficient, and easier to use. It supports planning, coding, debugging, and task execution with simple prompts. Unlike the earlier version, it now […] The post Devin 2.0 Explained: Features, Use Cases, and How It Compares to Windsurf and Cursor appeared first on Analytics Vidhya.
After The New York Times sued OpenAI in December 2023alleging that ChatGPT outputs violate copyrights by regurgitating news articlesthe ChatGPT maker tried and failed to argue that the claims were time-barred. According to OpenAI, the NYT should have known that ChatGPT was being trained on its articles and raised its lawsuit in 2020, partly because of the newspaper's own reporting.
Following the release of ChatGPT’s new image-generation tool, user activity has surged; millions of people have been drawn to a trend whereby uploaded images are inspired by the unique visual style of Studio Ghibli. The spike in interest contributed to record use levels for the chatbot and strained OpenAI’s infrastructure temporarily. Social media platforms were soon flooded with AI-generated images styled after work by the renowned Japanese animation studio, known for titles like Sp
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.
In the past few years, the AI world has shifted from a culture of open collaboration to one dominated by closely guarded proprietary systems. OpenAI a company literally founded with open in its name pivoted to keeping its most powerful models secret after 2019. Competitors like Anthropic and Google similarly built cutting-edge AI behind API walls, accessible only on their terms.
Organizations deploying generative AI applications need robust ways to evaluate their performance and reliability. When we launched LLM-as-a-judge (LLMaJ) and Retrieval Augmented Generation (RAG) evaluation capabilities in public preview at AWS re:Invent 2024 , customers used them to assess their foundation models (FMs) and generative AI applications, but asked for more flexibility beyond Amazon Bedrock models and knowledge bases.
What if I told you that AI can now outperform humans in some of the most complex video games? AI now masters Minecraft too. It is a game where players explore, mine, build, and craft with the goal of finding rare diamonds. Until recently, training AI for Minecraft needed lots of human data and custom […] The post Google’s DeepMind Masters Minecraft Without Human Data appeared first on Analytics Vidhya.
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