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AI News
Pymnts
2w
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Image Credit: Pymnts
82% of Enterprise CFOs Actively Use Gen AI
- 82% of enterprise CFOs are actively using or considering adopting artificial intelligence (AI) for their accounts payable functions.
- AI offers benefits like cost reduction, error prevention, and working capital optimization in financial management.
- Challenges in AI integration include compatibility issues, high implementation costs, and a lack of customization in existing financial systems.
- CFOs show strong interest in AI solutions for spend visibility, vendor negotiations, fraud detection, and supplier performance evaluation, signaling a shift towards AI-driven financial management.
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Pymnts
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Image Credit: Pymnts
Martini Puts a Real-Time AI Corporate Credit Risk Model in Everyone’s Hand
- Martini.ai's model revolutionizes how corporate credit risk is priced, traded, and assessed.
- Accessible to all, the AI model processes market data to generate real-time risk signals.
- It aims to provide instant credit insights to a wide range of users.
- The platform utilizes deep learning models and dynamic credit mapping to assess systemic exposure.
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Dev
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310
Image Credit: Dev
forget agi. forget agents. you have no idea what is coming.
- In 1943, during World War II, McCulloch and Pitts pondered the idea of describing the brain using math, leading to the concept of neural networks.
- The evolution of artificial intelligence (AI) took various approaches over the decades, from rule-based logic in the 60s to neural nets in the 80s and breakthroughs like ChatGPT in recent years.
- The narrator introduces Boringskool, a platform exploring the journey of AI and encouraging viewers to wake up to the era's technological advancements and possibilities.
- The creator emphasizes the importance of viewer support for Boringskool, aiming to engage and educate individuals on AI's impact and relevance in today's world.
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Medium
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Image Credit: Medium
The Future of Local AI: Privacy and the Inverse Moore’s Law
- AI models are smaller, more powerful, and accessible, changing tech landscape fundamentally.
- Revolution in AI compression enables running models like GPT-3.5 on smartphones.
- Hardware like NPU chips in smartphones enhances AI capabilities and efficiency.
- Open-source community drives local AI revolution, empowering developers with powerful, customizable models.
- Shift to local AI redefines data privacy, user control, and sparks innovation across industries.
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Medium
2w
60
Image Credit: Medium
Why Learn and Use AI Tools and ChatGPT, Is It Really Necessary?
- AI is becoming increasingly integrated into everyday life, from Google Maps to smart assistants like Siri, making AI literacy essential for staying ahead.
- Learning to use AI tools like ChatGPT can enhance efficiency and productivity in various tasks, similar to how knowing how to use a computer was essential two decades ago.
- AI interaction skills are becoming crucial in various fields, and upskilling with tools like ChatGPT can make individuals more competitive and adaptable in the job market.
- AI tools such as ChatGPT provide benefits like handling repetitive tasks, assisting in brainstorming, and improving job application processes, with user-friendly interfaces making them accessible to all.
- AI tools like ChatGPT offer deeper contextual answers, assist in writing, coding, brainstorming, and more.
- There are free versions of ChatGPT available, with advanced features in ChatGPT Plus.
- AI tools can aid in job applications by helping with resume writing, interview preparation, and job role research.
- No technical background is required to use AI tools, as they are designed with user-friendliness in mind and provide step-by-step guidance.
- Risks in using ChatGPT include misinformation and bias, necessitating a cautious approach and fact-checking.
- Mastering AI tools can be achieved through practice, with initial comfort attainable in a few hours.
- Learning and using AI tools, including ChatGPT, is essential in preparing for the future, as AI will continue to be a transformative force across various sectors.
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Dev
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Image Credit: Dev
Google's Next-Gen Most Capable Gemma 3 Model That Runs on a Single GPU - Proje Defteri
- Google Gemma 3 is a next-gen AI model with multimodal capabilities for text, image, and video processing.
- Key features include wide context processing, support for over 140 languages, and various model size options.
- Gemma 3 outperforms rivals in tasks like visual question answering, OCR, and object counting, especially with its 27B model.
- The model emphasizes security, community engagement, and provides advanced solutions for tasks like object counting, VQA, OCR, and document analysis.
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Devopsonline
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AI-powered autonomous systems – transforming urban mobility in smart cities
- Smart cities utilize technology and data-driven solutions to enhance sustainability, efficiency, and residents' well-being, aiming to address challenges like congestion and pollution.
- AI-powered autonomous systems, incorporating AI, machine learning, and sensor networks, are reshaping urban mobility by automating processes and adapting to passenger behavior and real-time challenges.
- Understanding behavior is crucial in building smart cities to improve residents' daily lives, enhance inclusivity, and ensure systems meet users' needs by gathering diverse perspectives through AI-driven engagement tools.
- Challenges for AI-powered systems include reliability in busy cities, ensuring fairness by addressing biases in data, and improving interoperability among urban systems to create seamless transport networks.
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Marktechpost
2w
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Google AI Open-Sourced MedGemma 27B and MedSigLIP for Scalable Multimodal Medical Reasoning
- Google DeepMind and Google Research have introduced two new models, MedGemma 27B Multimodal and MedSigLIP, under the MedGemma umbrella to advance open-source development in medical AI.
- MedGemma models address data heterogeneity and limited supervision in healthcare AI, processing medical images and clinical text for tasks like diagnosis and report generation.
- MedGemma 27B Multimodal offers enhanced vision-language architecture for medical reasoning, achieving high accuracy on tasks and excelling in agentic environments.
- MedSigLIP, a lightweight image-text encoder, supports edge deployment, excels in healthcare applications, and outperforms dedicated image-only models in various medical domains.
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VoIP
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Image Credit: VoIP
LG Uplus Boosts Data Center Cooling with AI Innovations
- LG Uplus collaborates with LG Electronics and LG CNS to enhance data center cooling efficiency using AI and digital twin technologies.
- The project aims for up to a 10% reduction in cooling energy consumption by optimizing chillers and air conditioning units with AI algorithms and digital twin models.
- LG Uplus plans to implement these advancements in various data centers, with the Paju center being the next target for integration with smart systems.
- The project focuses on cooling efficiency, predictive maintenance, and power monitoring integration, with LG Uplus aiming to enhance competitiveness in the smart data center space.
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Semiengineering
2w
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Image Credit: Semiengineering
GenAI’s Breakneck Pace Is Reshaping The Semiconductor Industry
- Generative AI (GenAI) is outpacing Moore’s law with Hyper Moore’s Law.
- Experts project AGI by 2030 and ASI soon after due to AI evolution.
- Semiconductor industry is rapidly evolving with GenAI's demand for advanced SoCs.
- AI adoption exceeds PCs and internet, impacting geopolitics and chip strategies.
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Semiengineering
2w
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Image Credit: Semiengineering
The Data Dilemma In Semiconductor Testing And Why It Matters: Part 2
- ACS Data Feed Forward (DFF) is a cloud-enabled solution that simplifies and automates the transfer of device test data between test floors in semiconductor testing.
- DFF works alongside Advantest's Real-Time Data Infrastructure (RTDI) to create a seamless data pipeline, allowing engineering teams to focus on developing innovative test strategies.
- The process involves capturing data at the source test cell, filtering and preparing the data, securely transferring it via Advantest ACS Cloud, and delivering it to the destination test floor ready for immediate use.
- ACS DFF offers automated data transfer, pre-filtered data, timely delivery, and user-friendly interfaces, making it a game-changer in modern semiconductor manufacturing for running smarter tests and improving outcomes.
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Nordicapis
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The Missing Layer in AI Infrastructure: Aggregating Agentic Traffic
- AI agents evolving into autonomous actors, generating outbound API traffic without human oversight.
- Risks of agentic traffic: cost overruns, lack of observability, security vulnerabilities.
- Existing infrastructure falls short in governing outbound traffic initiated by AI agents.
- The role of AI gateways in managing agentic behaviors by mediating, securing, and shaping traffic.
- Key capabilities of an AI gateway include credential shielding, rate limiting, and audit logging.
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VoIP
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394
Image Credit: VoIP
Softbank & Nokia Lead Japan’s First 7GHz 6G Trials
- Softbank and Nokia are conducting trials in Japan, testing the 7GHz spectrum band for 6G communication.
- This marks the country's first use of this frequency, aimed at advancing future mobile networks, with testing taking place in Tokyo.
- The 7GHz frequency offers broader bandwidth than 5G's Sub-6 bands, potentially improving capacity and coverage in urban areas.
- Additionally, Softbank is investing in AI, aiming to lead in artificial super intelligence (ASI) with strategic partnerships and projects like the Stargate initiative.
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Geeky-Gadgets
2w
392
Image Credit: Geeky-Gadgets
Learn Midjourney Video Camera Control Basics to Create Stunning AI Videos
- Direct a virtual camera in Midjourney's video model using descriptive prompts.
- Learn how to simulate cinematic techniques like zooms, pans, and tracking shots.
- Explore tips for achieving immersive storytelling through camera control and descriptive prompts.
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Medium
2w
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Image Credit: Medium
What Awaits AI by 2030: A Human-Centric Vision of Tomorrow
- Artificial intelligence (AI) is evolving rapidly, with potential applications such as personalized coffee brewing, AI-assisted medical consultations, and holographic teachers powered by advanced intelligence.
- By 2030, the vision of Artificial General Intelligence (AGI) that can think, reason, and adapt like humans may become a reality, marking a significant advancement from today's task-specific AI capabilities.
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