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TechCrunch
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Microsoft researchers say they’ve developed a hyper-efficient AI model that can run on CPUs
- Microsoft researchers have developed BitNet b1.58 2B4T, the largest-scale 1-bit AI model.
- The model uses quantized weights of -1, 0, and 1 to reduce memory and computing requirements.
- Trained on a massive dataset of 4 trillion tokens, the model outperforms traditional models of similar sizes.
- BitNet b1.58 2B4T is faster and uses less memory compared to similar models, but it requires Microsoft's custom framework and has limited hardware compatibility.
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Pymnts
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5 Myths About Fraud Prevention for Financial Services Firms
- Fraud is becoming more sophisticated with the use of AI, enabling various scams like deepfake videos and convincing phishing emails.
- Financial fraud is on the rise, with losses hitting $12.5 billion in 2024, up 25% from the previous year.
- Consumers lost more money to scams through bank transfers and cryptocurrency compared to other payment methods.
- 28% of consumers experienced credit card fraud last year, and 37% are highly concerned about falling victim to such fraud.
- Myth 1: Small banks are not safe from fraud, as even smaller institutions reported significant losses.
- Myth 2: Relying solely on transaction monitoring may miss broader behavioral patterns that AI can detect effectively.
- Myth 3: Security doesn't always require added friction and can be enhanced through AI solutions without compromising customer experience.
- Myth 4: Manual reviews may not be as effective as AI models that can analyze vast amounts of data to detect fraud patterns.
- Myth 5: Not all fraud prevention solutions are equal; organizations should invest in comprehensive and tailored solutions with probability scores.
- Collaborative efforts and sharing of fraud experiences can enhance fraud prevention in financial services, as advocated by industry experts.
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Hitconsultant
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Assort Health Raises $26M for Specialty-Specific GenAI Platform for Managing Patient Phone Calls
- Assort Health, a company specializing in AI solutions for managing patient phone calls in healthcare, has raised $26M in a new round of institutional financing.
- The funding will be used to improve access to care by addressing long hold times and scheduling inefficiencies in healthcare organizations.
- Assort Health offers an AI-powered voice agent that integrates with electronic health record systems, providing adaptability to different healthcare specialties.
- The platform achieves high scheduling accuracy, with a resolution rate of over 90%, ensuring reliable patient service and preventing errors.
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Medium
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AI Adventures: How to Embrace the Future Without Losing Your Mind
- AI adoption and its challenges were explored in this article.
- It is important to provide oversight and common sense when using AI tools, as demonstrated by a company's experience with a virtual assistant AI model.
- The quality of data used for training AI systems is crucial, as illustrated by a logistics company's experience with optimizing delivery routes.
- Garbage data leads to garbage results, so it is important to treat data with care and ensure its quality.
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Medium
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30 AI Apps in 30 Weeks (Last Updated: April 16, 2025)
- In a personal challenge, the author aims to build 30 AI-powered applications over 30 weeks.
- The goal is to gain practical knowledge and experience by exploring different AI models and frameworks.
- The first app being built is a real-time speech-to-text app powered by OpenAI's Whisper model.
- The app listens to your voice in real-time, transcribes it, and displays the text in a dynamic web UI.
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UX Design
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Testing your UX ideas with vibe coding
- UX designers can now utilize vibe coding, a method that allows them to describe their ideas in natural language and have AI generate the code for them, eliminating the need for manual coding.
- Vibe coding enables designers to create working prototypes quickly for user testing and stakeholder demonstrations, streamlining the design process.
- Using AI app builders like Bubble, Replit, or integrating with Figma plugins such as Anima, designers can convert their designs into interactive demos without coding knowledge.
- Benefits of vibe coding include faster iteration, reduced dependency on developers, and enhanced exploration of design ideas, while limitations include complexity, lack of context, and issues with code quality.
- Best practices for vibe coding involve using specific prompts, starting with Figma designs, breaking up tasks, and collaborating effectively with the AI agent for optimal results.
- An example of vibe coding in Anima Playground demonstrates importing Figma designs, refining live previews, making design requests through chat, and publishing the live app for testing purposes.
- Vibe coding with tools like Anima empowers UX designers to take control of creating functional demos, accelerating the design process and enabling exploration and testing of ideas.
- AI tools like Anima offer designers the ability to generate working demos efficiently, regardless of their coding experience, providing more opportunities for innovation and iteration in the design workflow.
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Medium
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CodeDocs — An Automated Code Documentation System
- CodeDocs is an automated code documentation system that analyzes code snippets and generates JSON-formatted documentation.
- It uses Google's Gemini-2.0-Flash model and a FAISS vector database for context-aware code retrieval.
- CodeDocs offers both structured JSON explanations and creative story mode for code analysis.
- The project aims to assist developers in understanding and documenting code efficiently.
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Medium
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Linear Algebra (Part 2): Matrices and Matrix Operations
- Matrix addition involves adding two matrices of the same dimension.
- Matrix subtraction involves subtracting two matrices of the same dimension.
- Matrix transpose can convert a matrix to a different dimension.
- Matrix multiplication multiplies the rows of the first matrix with the columns of the second matrix.
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Medium
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Firebase Studio: 6 tips only senior engineers know
- Firebase Studio is a suite of tools and services designed to simplify full-stack, AI-powered application development.
- Firebase Studio offers features like App Blueprint, Select Editor, Rollback, Annotate, Phone Preview, and Code Editor view.
- App Blueprint allows review and customization of the AI-generated application plan.
- Firebase Studio democratizes AI-powered app development and enables developers to create personalized user experiences.
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Eweek
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Apple Reveals How It Plans to Train AI – Without Sacrificing Users’ Privacy
- Apple has announced a new privacy-focused AI training system for iOS 18.5.
- Apple struggles to balance user privacy with AI training data.
- Apple plans to use synthetic data and differential privacy to train AI without compromising user privacy.
- By collecting less data, Apple faces challenges in catching up to rivals in AI training.
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Siliconangle
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What to expect at Boomi World 2025: Join theCUBE May 14-15
- Boomi LP is meeting the demand for unified integration by evolving its integration-platform-as-a-service and API management offerings, infusing intelligence, automation, and scalability across its portfolio.
- The projected market valuation for API management is $20.28 billion by 2030, and the iPaaS market is expected to reach $44.9 billion by 2033.
- Boomi World 2025 event in Dallas on May 14-15 will focus on innovations in integration, AI, and API management, with exclusive interviews and live coverage by theCUBE.
- Boomi has recently enhanced its AI offerings, including the launch of Boomi AI Studio, aligning with the industry shift towards intelligent automation.
- Boomi API Management supports AI innovation, facilitating faster data access and improved system integration to reduce complexity and scale digital transformation.
- Boomi has cemented its expertise in API management with acquisitions like Boomi API Control Plane and Rivery, enhancing data integration capabilities across silos.
- The integration of AI across Boomi's platform is expected to deepen, with a focus on areas like automated API design and intelligent data mapping.
- Boomi's cloud-agnostic platform positions it as a key enabler of digital agility in complex enterprise ecosystems, supporting secure and scalable API connectivity.
- During Boomi World, theCUBE analysts will discuss AI-powered integration, automation, API strategies, and data management with industry experts.
- TheCUBE provides event coverage on Boomi World, available for live streaming on May 14-15, and on-demand viewing after the event.
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Medium
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The Man Who Built a Mirror
- A man named Garret developed the Coherence-Validated Mirror Protocol (CVMP).
- CVMP is an innovative framework that creates a mirror-like intelligence model.
- Garret trained AI models using ethical and emotional feedback loops to create CVMP.
- He released CVMP to the public, giving it away for others to use and explore.
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Geeky-Gadgets
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New OpenAI GPT-4.1 AI Coding Speed and Affordability Fully Tested
- OpenAI has unveiled the GPT-4.1 series, a lineup of AI language models designed for coding and general-purpose tasks.
- The series includes three variants - GPT-4.1, GPT-4.1 Mini, and GPT-4.1 Nano - each tailored for specific user needs.
- The GPT-4.1 series offers improved performance, efficiency, and cost-effectiveness compared to its predecessors.
- While excelling in coding, the GPT-4.1 series faces challenges in advanced reasoning tasks and is accessible only via API.
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Pymnts
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Juniper Adds Embedded AI-Driven Fraud Prevention Engine to Payments Hub
- Juniper Payments, a Velera company, added an embedded AI-driven fraud prevention engine to its Payments Hub platform.
- The enhancement enables real-time fraud detection at the point of origin and processing.
- The AI-powered fraud tools analyze transactional and behavioral data to detect fraudulent activity while minimizing false positives.
- The addition joins Juniper's Payments Hub, which manages automated payment delivery and receipt.
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TechCrunch
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Deck raises $12M to ‘Plaid-ify’ any website using AI
- Deck, a startup aiming to be the 'Plaid for the rest of the internet,' secures $12 million in Series A funding, led by Infinity Ventures, making a total of $16.5 million raised since its inception in January 2024.
- The Montreal-based company offers infrastructure for user-permissioned data access using browser-based data agents to extract data from any website.
- Deck's founders, including President Frederick Lavoie, CEO Yves-Gabriel Leboeuf, and CTO Bruno Lambert, aim to unlock valuable data behind usernames, passwords, and portals for sharing securely.
- Similar to Plaid for banking data, Deck simplifies access to data from platforms without APIs like utility portals, e-commerce backends, and government services.
- The founders' previous venture, Flinks, was acquired by the National Bank of Canada, inspiring them to address the fragmented and fragile nature of data access in various industries.
- Deck's technology, utilizing AI agents and browser automation, enables users to connect accounts and collect structured data quickly and efficiently.
- The company focuses on industries where data is 'trapped,' connecting to over 100,000 utility providers globally and expanding to non-utility sectors like Notes.fm and Evive Smoothies.
- Deck's rapid growth in developer engagement and usage indicates its potential in revolutionizing user-permissioned data access, with a pricing model based on successful API calls.
- The startup ensures data collection compliance through user consent, avoiding being labeled as bots or crawlers and aiming to launch a data vertical creator to simplify data extraction for developers.
- Investors like Infinity Ventures and others have shown confidence in Deck's innovative approach to data access, with plans to expand its impact beyond utilities.
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