April, 2025

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How to Avoid Ethical Red Flags in Your AI Projects

Flipboard

As a computer scientist who has been immersed in AI ethics for about a decade, Ive witnessed firsthand how the field has evolved. Today, a growing number of engineers find themselves developing AI solutions while navigating complex ethical considerations. Beyond technical expertise, responsible AI deployment requires a nuanced understanding of ethical implications.

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DolphinGemma: Google AI model understands dolphin chatter

AI News

Google has developed an AI model called DolphinGemma to decipher how dolphins communicate and one day facilitate interspecies communication. The intricate clicks, whistles, and pulses echoing through the underwater world of dolphins have long fascinated scientists. The dream has been to understand and decipher the patterns within their complex vocalisations.

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US Sanctions Backfire: Huawei’s AI Chips Accelerate China’s Self-Reliance

Unite.AI

Huawei Technologies is preparing to mass-ship a pair of advanced artificial intelligence chips the Ascend 910C and upcoming Ascend 920 marking a big moment in the global AI hardware arena. These new chips are poised to fill a void left by U.S. export restrictions that have curbed Chinas access to top-tier AI accelerators from U.S. firms like Nvidia.

AI 281
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Repurposing Protein Folding Models for Generation with Latent Diffusion

BAIR

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.

Robotics 271
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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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Generative AI Data Scientist: A Booming New Job Role

Analytics Vidhya

Summary Introduction Generative AI (GenAI) has evolved from experimental research to enterprise-grade applications in record time. The rise of tools like ChatGPT, AI-powered copilots, and custom AI agents across industries, has led to the emergence of a bunch of new roles and teams in organizations. One such booming new career path is that of a […] The post Generative AI Data Scientist: A Booming New Job Role appeared first on Analytics Vidhya.

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Professors Staffed a Fake Company Entirely With AI Agents, and You'll Never Guess What Happened

Flipboard

If you've been worried about the AI singularity taking over every job and leaving you out on street, you can now breathe a sigh of relief, because AI isn't coming for your career anytime soon. Not because it doesn't want to but because it literally can't. A recent experiment by researchers at Carnegie Mellon University staffed a fake software company entirely with AI Agents an AI model designed to perform tasks on its own,basically and the results were laughably chaotic.

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Google launches A2A as HyperCycle advances AI agent interoperability

AI News

AI agents handle increasingly complex and recurring tasks, such as planning supply chains and ordering equipment. As organisations deploy more agents developed by different vendors on different frameworks, agents can end up siloed, unable to coordinate or communicate. Lack of interoperability remains a challenge for organisations, with different agents making conflicting recommendations.

AI 358
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Is Robot Exploitation Universal or Culturally Dependent?

Unite.AI

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

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Defending against Prompt Injection with Structured Queries (StruQ) and Preference Optimization (SecAlign)

BAIR

Recent advances in Large Language Models (LLMs) enable exciting LLM-integrated applications. However, as LLMs have improved, so have the attacks against them. Prompt injection attack is listed as the #1 threat by OWASP to LLM-integrated applications, where an LLM input contains a trusted prompt (instruction) and an untrusted data. The data may contain injected instructions to arbitrarily manipulate the LLM.

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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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How to Create an MCP Client Server Using LangChain

Analytics Vidhya

The world of AI and Large Language Models (LLMs) moves quickly. Integrating external tools and real-time data is vital for building truly powerful applications. The Model Context Protocol (MCP) offers a standard way to bridge this gap. This guide provides a clear, beginner-friendly walkthrough for creating an MCP client server using LangChain. Understanding the MCP […] The post How to Create an MCP Client Server Using LangChain appeared first on Analytics Vidhya.

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Google AI Unveils 601 Real-World Generative AI Use Cases Across Industries

Marktechpost

Google Cloud has just released an extraordinary compendium of 601 real-world generative AI (GenAI) use cases from some of the worlds top organizations a major leap from the 101 use cases it shared just a year ago at Google Cloud Next 2024. This sixfold expansion showcases the explosive pace at which GenAI technologies are moving from prototypes to production, powering transformations across virtually every sector.

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What is AI thinking? Anthropic researchers are starting to figure it out

Flipboard

Why are AI chatbots so intelligentcapable of understanding complex ideas, crafting surprisingly good short stories, and intuitively grasping what users mean? The truth is, we dont fully know. Large language models think in ways that dont look very human. Their outputs are formed from billions of mathematical signals bouncing through layers of neural networks powered by computers of unprecedented power and speed, and most of that activity remains invisible or inscrutable to AI researchers.

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Meta FAIR advances human-like AI with five major releases

AI News

The Fundamental AI Research (FAIR) team at Meta has announced five projects advancing the company’s pursuit of advanced machine intelligence (AMI). The latest releases from Meta focus heavily on enhancing AI perception the ability for machines to process and interpret sensory information alongside advancements in language modelling, robotics, and collaborative AI agents.

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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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How Scammers Use AI in Banking Fraud

Unite.AI

AI has empowered fraudsters to sidestep anti-spoofing checks and voice verification, allowing them to produce counterfeit identification and financial documents remarkably quickly. Their methods have become increasingly inventive as generative technology evolves. How can consumers protect themselves, and what can financial institutions do to help? 1.

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NVIDIA to Manufacture American-Made AI Supercomputers in US for First Time

NVIDIA

NVIDIA is working with its manufacturing partners to design and build factories that, for the first time, will produce NVIDIA AI supercomputers entirely in the U.S. Together with leading manufacturing partners, the company has commissioned more than a million square feet of manufacturing space to build and test NVIDIA Blackwell chips in Arizona and AI supercomputers in Texas.

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14 Powerful Techniques Defining the Evolution of Embedding

Analytics Vidhya

You know how, back in the day, we used simple wordcount tricks to represent text? Well, things have come a long way since then. Now, when we talk about the evolution of embeddings, we mean numerical snapshots that capture not just which words appear but what they really mean, how they relate to each other […] The post 14 Powerful Techniques Defining the Evolution of Embedding appeared first on Analytics Vidhya.

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Effectively use prompt caching on Amazon Bedrock

AWS Machine Learning Blog

Prompt caching, now generally available on Amazon Bedrock with Anthropics Claude 3.5 Haiku and Claude 3.7 Sonnet, along with Nova Micro, Nova Lite, and Nova Pro models, lowers response latency by up to 85% and reduces costs up to 90% by caching frequently used prompts across multiple API calls. With prompt caching, you can mark the specific contiguous portions of your prompts to be cached (known as a prompt prefix ).

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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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Man Alarmed as His Cognitive Skills Decay After Outsourcing Them to AI

Flipboard

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.

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Apple AI stresses privacy with synthetic and anonymised data

AI News

Apple is taking a new approach to training its AI models one that avoids collecting or copying user content from iPhones or Macs. According to a recent blog post , the company plans to continue to rely on synthetic data (constructed data that is used to mimic user behaviour) and differential privacy to improve features like email summaries, without gaining access to personal emails or messages.

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AI Costs Are Accelerating — Here’s How to Keep Them Under Control

Unite.AI

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.

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Speed Demon: NVIDIA Blackwell Takes Pole Position in Latest MLPerf Inference Results

NVIDIA

In the latest MLPerf Inference V5.0 benchmarks, which reflect some of the most challenging inference scenarios, the NVIDIA Blackwell platform set records and marked NVIDIAs first MLPerf submission using the NVIDIA GB200 NVL72 system, a rack-scale solution designed for AI reasoning. Delivering on the promise of cutting-edge AI takes a new kind of compute infrastructure, called AI factories.

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How to Modernize Manufacturing Without Losing Control

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

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AI Passes the Turing Test: How Are LLMs Like GPT-4.5 Fooling Humans?

Analytics Vidhya

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?

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Build multi-agent systems with LangGraph and Amazon Bedrock

AWS Machine Learning Blog

Large language models (LLMs) have raised the bar for human-computer interaction where the expectation from users is that they can communicate with their applications through natural language. Beyond simple language understanding, real-world applications require managing complex workflows, connecting to external data, and coordinating multiple AI capabilities.

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Microsoft just launched powerful AI ‘agents’ that could completely transform your workday — and challenge Google’s workplace dominance

Flipboard

Microsoft unveils new AI reasoning agents and Copilot features to transform workplace productivity, with Chief Product Officer Aparna Chennapragada sharing exclusive insights on the company's vision for human-agent collaboration.

AI 180
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Midjourney V7: Faster AI image generation

AI News

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.

Big Data 342
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Automation, Evolved: Your New Playbook for Smarter Knowledge Work

Speaker: Frank Taliano

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.

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Next-Gen Phishing: The Rise of AI Vishing Scams

Unite.AI

In cybersecurity, the online threats posed by AI can have very material impacts on individuals and organizations around the world. Traditional phishing scams have evolved through the abuse of AI tools, growing more frequent, sophisticated, and harder to detect with every passing year. AI vishing is perhaps the most concerning of these evolving techniques.

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Enterprises Onboard AI Teammates Faster With NVIDIA NeMo Tools to Scale Employee Productivity

NVIDIA

An AI agent is only as accurate, relevant and timely as the data that powers it. Now generally available, NVIDIA NeMo microservices are helping enterprise IT quickly build AI teammates that tap into data flywheels to scale employee productivity. The microservices provide an end-to-end developer platform for creating state-of-the-art agentic AI systems and continually optimizing them with data flywheels informed by inference and business data, as well as user preferences.

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A Comprehensive Guide to RAG Developer Stack

Analytics Vidhya

Building a RAG (Retrieval-Augmented Generation) application isnt just about plugging in a few toolsits about choosing the right stack that makes retrieval and generation not just possible but efficient and scalable. Lets say youre working on something like Smart Chat with PDFan AI app that lets users interact with PDFs conversationally. Its not as simple […] The post A Comprehensive Guide to RAG Developer Stack appeared first on Analytics Vidhya.

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