Wed.Apr 30, 2025

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UK opens Europe’s first E-Beam semiconductor chip lab

AI News

The UK has cut the ribbon on a pioneering electron beam (E-Beam) lithography facility to build the semiconductor chips of the future. What makes this special? It’s the first of its kind in Europe, and only the second facility like it on the planetthe other being in Japan. So, what’s the big deal about E-Beam lithography? Imagine trying to draw incredibly complex patterns, but thousands of times smaller than a human hair.

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Leading Teams Through the Transition to Agentic AI

Unite.AI

For years, organizations have embraced artificial intelligence in various forms automation tools , data analytics engines , chatbots , and more. But now, with the emergence of Agentic AI , the game has truly changed. Unlike past AI models that passively analyze or respond to inputs, Agentic AI actively makes decisions, initiates tasks, and drives outcomes with minimal human intervention.

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Meta beefs up AI security with new Llama tools 

AI News

If you’re building with AI, or trying to defend against the less savoury side of the technology, Meta just dropped new Llama security tools. The improved security tools for the Llama AI models arrive alongside fresh resources from Meta designed to help cybersecurity teams harness AI for defence. Its all part of their push to make developing and using AI a bit safer for everyone involved.

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Leveraging Generative AI for Document Automation: Beyond Legal and Finance

Unite.AI

Document automation has traditionally been the domain of legal and finance teams, but theres plenty more that can benefit from generative-AI-automated document creation. Customer support, academic research, and more can have enjoy the benefits of large scale document generation, all with the correct industry-specific jargon and conforming to complex layouts need for a huge range of use cases.

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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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Duolingo shifts to AI-first model, cutting contractor roles

AI News

Duolingo is restructuring parts of its workforce as it shifts toward becoming an “AI-first” company, according to an internal memo from CEO and co-founder Luis von Ahn that was later shared publicly on the company’s LinkedIn page. The memo outlines a series of planned changes to how the company operates, with a particular focus on how artificial intelligence will be used to streamline processes, reduce manual tasks, and scale content development.

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How to Build RAG Systems and AI Agents with Qwen3

Analytics Vidhya

Qwen just released 8 new models as part of its latest family – Qwen3, showcasing promising capabilities. The flagship model, Qwen3-235B-A22B, outperformed most other models including DeepSeek-R1, OpenAI’s o1, o3-mini, Grok 3, and Gemini 2.5-Pro, in standard benchmarks. Meanwhile, the small Qwen3-30B-A3B outperformed QWQ-32B which has approximately 10 times the activated parameters as the new […] The post How to Build RAG Systems and AI Agents with Qwen3 appeared first on Analyt

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Gemini Robotics: AI Reasoning Meets the Physical World

Unite.AI

In recent years, artificial intelligence (AI) has advanced significantly across various fields, such as natural language processing (NLP) and computer vision. However, one major challenge for AI has been its integration into the physical world. While AI has excelled at reasoning and solving complex problems, these achievements have largely been limited to digital environments.

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The end of an AI that shocked the world: OpenAI retires GPT-4

Flipboard

One of the most influentialand by some counts, notoriousAI models yet released will soon fade into history. OpenAI announced on April 10 that GPT-4 will be "fully replaced" by GPT-4o in ChatGPT at the end of April, bringing a public-facing end to the model that accelerated a global AI race when it launched in March 2023. "Effective April 30, 2025, GPT-4 will be retired from ChatGPT and fully replaced by GPT-4o," OpenAI wrote in its April 10 changelog for ChatGPT.

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Samer Saab, Founder and CEO of Explorance – Interview Series

Unite.AI

Samer Saab is the founder and CEO of Explorance with over 22 years of experience in the technology industry. Prior to founding Explorance, Samer developed a wide perspective on business through a variety of roles in diverse organizations including Bombardier, Nortel, Sycamore Networks, and Nakisa. He also participates in a wide range of philanthropic activities that focus on his two passions: entrepreneurship and learning.

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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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Structify raises $4.1M seed to turn unstructured web data into enterprise-ready datasets

Flipboard

Brooklyn-based Structify emerges from stealth with $4.1 million in seed funding to transform how businesses prepare data for AI, promising to save data scientists from the task that consumes 80% of their time.

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Keytake Review: How I Created a Quality Video in Minutes

Unite.AI

What if you could create a full video before your coffee even cools down? Sounds impossible, right? But with todays technology, its not just possible. Its happening. After all, video content is expected to account for a significant portion of all internet traffic ( around 82% by 2025 ). Content creators, educators, and businesses are scrambling to keep up with the demand.

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Studies show AI can dull your thinking skills. Here’s how it can also sharpen them

Flipboard

If AI lives up to its hype and we can outsource the thinking, planning, and strategy parts of our jobs, do we risk losing the skills that make us human? Research from the Center for Strategic Corporate Foresight and Sustainability found that there is “a significant negative correlation between frequent AI tool usage and critical thinking abilities, mediated by increased cognitive offloading.

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Balancing productivity and privacy: Safeguarding data in the age of AI-driven tools

Unite.AI

Taking on repetitive tasks, providing insights at speeds far beyond human capabilities, and significantly boosting our productivityartificial intelligence is reshaping the way we work, so much so that its use can improve the performance of highly skilled professionals by as much as 40%. AI has already provided an abundance of useful tools, from Clara, the AI assistant that schedules meetings, to Gamma, which automates presentation creation, and ChatGPTthe flagship of generative AI s rise.

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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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Control the Composition of AI-Generated Images With the NVIDIA AI Blueprint for 3D-Guided Generative AI

NVIDIA

AI-powered image generation has progressed at a remarkable pace from early examples of models creating images of humans with too many fingers to now producing strikingly photorealistic visuals. Even with such leaps, one challenge remains: achieving creative control. Creating scenes using text has gotten easier, no longer requiring complex descriptions and models have improved alignment to prompts.

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Google NotebookLM Launches Audio Overviews in 50+ Languages, Expanding Global Accessibility for AI Summarization

Marktechpost

Google has significantly expanded the capabilities of its experimental AI tool, NotebookLM , by introducing Audio Overviews in over 50 languages. This marks a notable leap in global content accessibility, making the platform far more inclusive and versatile for a worldwide audience. Initially launched with limited support for English, NotebookLM is now rapidly evolving into a multimodal, multilingual assistant for summarizing and understanding complex documents.

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Ethical Concerns in Large Language Models: Bias, Privacy & Misinformation

How to Learn Machine Learning

The world of artificial intelligence is expanding at lightning speed, and at the heart of this revolution lie large language models (LLMs)-powerful tools behind chatbots, virtual assistants, and AI writing platforms. While extraordinary capabilities exist, they also present ethical dilemmas. They raise concerns like Large Language Models Bias, or privacy, or the spread of misinformation.

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Beyond the Hype: Google’s Practical AI Guide Every Startup Founder Should Read

Marktechpost

In 2025, AI continues to reshape how startups build, operate, and compete. Google’s Future of AI: Perspectives for Startups report presents a comprehensive roadmap , drawing on insights from infrastructure leaders, startup founders, and venture capital partners. The message is pragmatic: AI is becoming more accessible, but thoughtful application and long-term orientation matter more than speed alone.

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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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From Kitchen to Drive-Thru: How Yum! Brands Is Accelerating Restaurant Innovation With AI

NVIDIA

The quick-service restaurant (QSR) industry is being reinvented by AI. For example, Yum! Brands the worlds largest restaurant company and parent company of KFC, Taco Bell, Pizza Hut and Habit Burger & Grill and NVIDIA announced their partnership at the NVIDIA GTC global AI conference last month, with the goal of deploying NVIDIA-powered AI solutions in 500 restaurants this year.

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Exploring the Sparse Frontier: How Researchers from Edinburgh, Cohere, and Meta Are Rethinking Attention Mechanisms for Long-Context LLMs

Marktechpost

Sparse attention is emerging as a compelling approach to improve the ability of Transformer-based LLMs to handle long sequences. This is particularly important because the standard self-attention mechanism, central to LLMs, scales poorly with sequence lengthits computational cost grows quadratically during the prefilling phase, increasing time-to-first-token and making deployment expensive.

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The Sequence Engineering #533 : Inside The Llama Stack

TheSequence

Created Using GPT-4o In today’s engineering section, I would like to dive into one of the most intriguing gen AI stacks in recent months. The Llama Stack, developed and open-sourced by Meta, marks a major advance in building, deploying, and scaling generative AI applications. Featuring a modular, layered architecture and a strong emphasis on standardization, Llama Stack addresses key obstacles that have traditionally slowed AI adoption.

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CDS Researchers Make Strong Showing at ICLR 2025

NYU Center for Data Science

The International Conference on Learning Representations (ICLR) 2025 has accepted numerous papers from our researchers, showcasing the Centers continued impact on machine learning research. Thirty-seven researchers from across faculty, postdoctoral researchers, faculty fellows, and PhD students have had their work accepted to this prestigious conference, with contributions spanning diverse areas including language models, multimodal learning, representation learning, and causality.

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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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Insights in implementing production-ready solutions with generative AI

AWS Machine Learning Blog

As generative AI revolutionizes industries, organizations are eager to harness its potential. However, the journey from production-ready solutions to full-scale implementation can present distinct operational and technical considerations. This post explores key insights and lessons learned from AWS customers in Europe, Middle East, and Africa (EMEA) who have successfully navigated this transition, providing a roadmap for others looking to follow suit.

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Beyond Negation Detection: Comprehensive Assertion Detection Models for Clinical NLP

John Snow Labs

Assertion status detection is critical in clinical NLP but often overlooked, leading to underperformance in commercial solutions like AWS Medical Comprehend, Azure AI Text Analytics, and GPT-4o. We developed advanced assertion detection models, including fine-tuned LLMs, transformers, few-shot classifiers, deep learning (DL) and rule -based approaches.

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FloQast builds an AI-powered accounting transformation solution with Anthropic’s Claude 3 on Amazon Bedrock

AWS Machine Learning Blog

With the advent of generative AI solutions, a paradigm shift is underway across industries, driven by organizations embracing foundation models (FMs) to unlock unprecedented opportunities. Amazon Bedrock has emerged as the preferred choice for numerous customers seeking to innovate and launch generative AI applications, leading to an exponential surge in demand for model inference capabilities.

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Diagnosing and Self- Correcting LLM Agent Failures: A Technical Deep Dive into τ-Bench Findings with Atla’s EvalToolbox

Marktechpost

Deploying large language model (LLM)-based agents in production settings often reveals critical reliability issues. Accurately identifying the causes of agent failures and implementing proactive self-correction mechanisms is essential. Recent analysis by Atla on the publicly available -Bench benchmark provides granular insights into agent failures, moving beyond traditional aggregate success metrics and highlighting Atlas EvalToolbox approach.

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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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Comparing OpenAI LLMs and John Snow Labs’ Medical Terminology Server (TS) for Medical Terminology Mapping

John Snow Labs

This document compares the core capabilities, strengths, and limitations of OpenAIs large language models (LLMs) with John Snow Labs Medical Terminology Server (TS) , focusing on terminology mapping use cases in healthcare and life sciences. 1.Deterministic Output vs. Generative Variability TS offers stable and deterministic results. The same term will always return the same code, thanks to its reliance on official terminology datasets and carefully curated in-house augmentations.

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Build public-facing generative AI applications using Amazon Q Business for anonymous users

AWS Machine Learning Blog

Amazon Q Business is a generative AI-powered assistant that answers question, provides summaries, generates content, and securely completes tasks based on enterprise data and information. It connects to company data sources, applications, and internal systems to provide relevant, contextual answers while maintaining organizational security and compliance standards.

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JetBrains releases Mellum, an ‘open’ AI coding model

Flipboard

JetBrains, the company behind a range of popular app development tools, has released its first open AI model for coding.

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