Sun.Mar 16, 2025

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Meta AI’s MILS: A Game-Changer for Zero-Shot Multimodal AI

Unite.AI

For years, Artificial Intelligence (AI) has made impressive developments, but it has always had a fundamental limitation in its inability to process different types of data the way humans do. Most AI models are unimodal, meaning they specialize in just one format like text, images, video, or audio. While adequate for specific tasks, this approach makes AI rigid, preventing it from connecting the dots across multiple data types and truly understanding context.

AI 259
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DeepSeek is a reminder to approach the AI unknown with caution

AI News

There has been a lot of excitement and many headlines generated by the recent launch of DeepSeek. And, while the technology behind this latest iteration of Generative AI is undoubtedly impressive, in many ways its arrival encapsulates the state of AI today. That is to say, its interesting, promising and maybe a little overhyped. I wonder whether that may be partly a generational thing.

Big Data 255
professionals

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Fathom Review: The Best AI Tool for Instant Meeting Recaps?

Unite.AI

Imagine walking out of a meeting and instantly having a clear, concise summary in your inbox without jotting down a single note. No more scrambling to recall key points or wishing you had a better memory. Sounds like a dream, right? Thats exactly what Fathom AI delivers. The average professional spends around 5 hours and 6 minutes per week in meetings and nearly 4 hours preparing for them.

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Inching towards AGI: How reasoning and deep research are expanding AI from statistical prediction to structured problem-solving

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GUEST: AI has evolved at an astonishing pace. What seemed like science fiction just a few years ago is now an undeniable reality. Back in 2017, my firm launched an AI Center of Excellence.

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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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Cohere Released Command A: A 111B Parameter AI Model with 256K Context Length, 23-Language Support, and 50% Cost Reduction for Enterprises

Marktechpost

LLMs are widely used for conversational AI, content generation, and enterprise automation. However, balancing performance with computational efficiency is a key challenge in this field. Many state-of-the-art models require extensive hardware resources, making them impractical for smaller enterprises. The demand for cost-effective AI solutions has led researchers to develop models that deliver high performance with lower computational requirements.

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Dynamic Tanh DyT: A Simplified Alternative to Normalization in Transformers

Marktechpost

Normalization layers have become fundamental components of modern neural networks, significantly improving optimization by stabilizing gradient flow, reducing sensitivity to weight initialization, and smoothing the loss landscape. Since the introduction of batch normalization in 2015, various normalization techniques have been developed for different architectures, with layer normalization (LN) becoming particularly dominant in Transformer models.

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China will enforce clear flagging of all AI generated content starting from September

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The Cyberspace Administration of China just released regulations that requires the explicit marking of AI-generated content — both visually and in its metadata.

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This AI Paper Introduces FoundationStereo: A Zero-Shot Stereo Matching Model for Robust Depth Estimation

Marktechpost

Stereo depth estimation plays a crucial role in computer vision by allowing machines to infer depth from two images. This capability is vital for autonomous driving, robotics, and augmented reality applications. Despite advancements in deep learning , many existing stereo-matching models require domain-specific fine-tuning to achieve high accuracy. The challenge lies in developing a model that can be generalized across different environments without additional training.

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People are using Google’s new AI model to remove watermarks from images

Flipboard

Users on social media have discovered a controversial use case for Googles new Gemini AI model: removing watermarks from images, including from images published by Getty Images and other well-known stock media outfits. Last week, Google expanded access to its Gemini 2.

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Going Beyond Chatbots: Connecting AI to Your Tools, Systems, & Data

Speaker: Alex Salazar, CEO & Co-Founder @ Arcade | Nate Barbettini, Founding Engineer @ Arcade | Tony Karrer, Founder & CTO @ Aggregage

If AI agents are going to deliver ROI, they need to move beyond chat and actually do things. But, turning a model into a reliable, secure workflow agent isn’t as simple as plugging in an API. In this new webinar, Alex Salazar and Nate Barbettini will break down the emerging AI architecture that makes action possible, and how it differs from traditional integration approaches.

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Groundlight Research Team Released an Open-Source AI Framework that Makes It Easy to Build Visual Reasoning Agents (with GRPO)

Marktechpost

Modern VLMs struggle with tasks requiring complex visual reasoning, where understanding an image alone is insufficient, and deeper interpretation is needed. While recent advancements in LLMs have significantly improved text-based reasoning, similar progress in the visual domain remains limited. Existing VLMs often fail when required to combine visual and textual cues for logical deductions, highlighting a critical gap in their capabilities.

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AI nurses: Staffing solution for hospitals or a threat to quality care?

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The next time youre due for a medical exam you may get a call from someone like Ana: a friendly voice that can help you prepare for your appointment and answer any pressing questions you might have.

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The Power of Quartile Deviation: Unlocking Data Dispersion Secrets

Pickl AI

Summary: Quartile deviation is a statistical measure that quantifies data spread by focusing on the middle 50% of the data, offering robustness to outliers and skewed distributions. It is calculated as half the difference between the third and first quartiles, providing a reliable measure of central data dispersion. Introduction In the vast and intricate world of statistics , understanding how data spreads out or disperses is crucial for making informed decisions.

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Undergraduate Upends a 40-Year-Old Data Science Conjecture

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A young computer scientist and two colleagues show that searches within data structures called hash tables can be much faster than previously deemed possible.

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Smart Tech + Human Expertise = 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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ThunderMLA vs FlashMLA

Bugra Akyildiz

Articles ThunderMLA from Stanford researchers, a new optimization approach for variable-length sequence processing to large language model inference that addresses critical performance bottlenecks in attention mechanisms. ThunderMLA builds upon and substantially improves DeepSeek's FlashMLA through the implementation of a completely fused "megakernel" architecture, achieving performance gains of 20-35% across various workloads.

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How the U.S. is losing ground to China in nuclear fusion, as AI power needs surge

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For decades, the U.S. has led the race to clean, limitless nuclear fusion energy. Now China is catching up, spending twice as much and building projects faster.

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The Sequence Radar #511: Command A and Gemma 3: Small Models with Bite

TheSequence

Created Using Midjourney Next Week in The Sequence: The last installment of our RAG series compares RAG vs. fine tuning alternatives. The engineering edition looks at OpenAI’s new agentic APIs. research section dives into Microsoft’s Phi-4 new models. In our opinion essay we will debate another controversial topic. You can subscribe to The Sequence below: TheSequence is a reader-supported publication.

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AI algorithm used to unpack neuroscience of human language

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An AI model trained on dozens of hours of real-world conversation accurately predicts human brain activity and shows that features of language structure emerge without being coded in.

Algorithm 181
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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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The Number One Users of ChatGPT: Students

Robot Writers AI

ChatGPT-Makers CEO Sam Altman just disclosed an eye-opening revelation in the Wall Street Journal: Most of the people using ChatGPT are students. Given that 400 million people now visit the ChatGPT Web site every week, that means approximately 300-350 million of the people using ChatGPT are students (most). The takeaway: The statistic explains that while ChatGPT can reduce writing time for simple tasks like email by as much as 90% or more, students are the people who have picked-up and run with

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Google's AI 'co-scientist' cracked 10-year superbug problem in just 2 days

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Scientists took 10 years to figure out how one type of superbug gains its ability to infect diverse bacterial species.

AI 181
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Archetypal SAE: Adaptive and Stable Dictionary Learning for Concept Extraction in Large Vision Models

Marktechpost

Artificial Neural Networks (ANNs) have revolutionized computer vision with great performance, but their “black-box” nature creates significant challenges in domains requiring transparency, accountability, and regulatory compliance. The opacity of these systems hampers their adoption in critical applications where understanding decision-making processes is essential.

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5 AI Prompts That Will Transform Your Writing Forever

Flipboard

Generative AI tools like ChatGPT are changing the way people write. This is both exciting and scary for professionals and those who simply enjoy reading and writing. The concept of AI taking on what is to us a very simple but intrinsically human task like writing does have big implications.

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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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Protected: Bitext NAMER: Slashing Time and Costs in Automated Knowledge Graph Construction

Bitext

Password Protected To view this protected post, enter the password below: Password: Submit The post Protected: Bitext NAMER: Slashing Time and Costs inAutomated Knowledge Graph Construction appeared first on Bitext. We help AI understand humans. - chatbots that work.

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Inside Zoom’s AI evolution: From basic meeting tools to agentic productivity platform powered by LLMs and SLMs

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Zoom became a household name during the pandemic as remote work became the norm nearly overnight.

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Chatbots are replacing therapists faster than anyone expected

Flipboard

While we're not short of divisive topics in 2025, there are valid reasons as to why we're turning to chatbots for emotional support and why people

Chatbots 177
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Startup Behind Stargate Data Center Strikes Unprecedented Energy Deal

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An Nvidia-backed startup building a massive data center for OpenAI has gained access to one of the largest new power sources for data centers in the

OpenAI 173
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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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How China could beat the U.S. to nuclear fusion, as AI power needs surge

Flipboard

Despite decades of U.S. leadership in nuclear fusion, China is now spending twice as much and building projects faster to reach commercial fusion power first. The elusive, limitless, clean energy source has seen a rapid influx of private funds as AI power demands surge, with billions from the likes of OpenAI's Sam Altman, Microsoft and Google. But Satellite images show China is rapidly building giant new fusion projects while cornering the supply chain and talent pool to get there first.

OpenAI 65
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I just tested Manus vs. DeepSeek with 7 prompts from Gemini — here's the winner

Flipboard

DeepSeek surprised the AI world when it launched and made a name for itself among the top rival chatbots.

Chatbots 167
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Tech Giants, Stop Trying to Build Godlike AI

Flipboard

Nobody agrees on what it means and theres no evidence itll benefit the world. Heres a better North Star. We have ChatGPT because Sam Altman wanted to build a god.

Chatbots 164