Sat.Nov 25, 2023

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Physical Constraints Drive Evolution of Brain-Like AI

Unite.AI

In a groundbreaking study , Cambridge scientists have taken a novel approach to artificial intelligence, demonstrating how physical constraints can profoundly influence the development of an AI system. This research, reminiscent of the developmental and operational constraints of the human brain, offers new insights into the evolution of complex neural systems.

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Will Artificial Intelligence Bring About The End Of Smartphone Apps?

Flipboard

When Steve Jobs announced the first iPhone in 2007, accelerating the smartphone revolution, the game changing device shipped with just a small set of Apple-produced apps. There was no software development kit (SDK) for third parties to develop apps yet and obviously no app store too.

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Google Announce the Open Source Release of Project Guideline: Revolutionizing Accessibility with On-Device Machine Learning for Independent Mobility

Marktechpost

Researchers have undertaken the formidable task of enhancing the independence of individuals with visual impairments through the innovative Project Guideline. This initiative seeks to empower people who are blind or have low vision by leveraging on-device machine learning (ML) on Google Pixel phones, enabling them to walk or run independently. The project revolves around a waist-mounted phone, a designated guideline on a pedestrian pathway, and a sophisticated combination of audio cues and obsta

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With a Single Tweet, Microsoft CEO Satya Nadella Just Gave a Masterclass on How to Lead Through a Crisis

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Strategy is never more important than people. I imagine there are a lot of things that happen in the day-to-day course of running one of the world's largest tech companies that most of us would consider stressful. Actually, most of us can't imagine at all the complexity of a company at that scale.

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Usage-Based Monetization Musts: A Roadmap for Sustainable Revenue Growth

Speaker: David Warren and Kevin O’Neill Stoll

Transitioning to a usage-based business model offers powerful growth opportunities but comes with unique challenges. How do you validate strategies, reduce risks, and ensure alignment with customer value? Join us for a deep dive into designing effective pilots that test the waters and drive success in usage-based revenue. Discover how to develop a pilot that captures real customer feedback, aligns internal teams with usage metrics, and rethinks sales incentives to prioritize lasting customer eng

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Stanford Researchers Introduce BLASTNet: The First Large Machine Learning Dataset for Fundamental Fluid Dynamics

Marktechpost

Stanford researchers introduced a groundbreaking development named BLASTNet, heralding a new era in computational fluid dynamics (CFD). Still, it was a proof of concept that was not ready for machine learning purposes. Now, the same research team introduces BLASTNet-2, a revolutionary dataset meticulously assembled by a team of AI researchers, which promises to revolutionize the understanding and application of fundamental fluid dynamics in fields as diverse as rocket propulsion, oceanography, c

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Meta Research Introduces System 2 Attention (S2A): An AI Technique that Enables an LLM to Decide on the Important Parts of the Input Context in Order to Generate Good Responses

Marktechpost

Large Language Models (LLMs), although highly competent in a wide array of language tasks, often display weak reasoning capabilities by making very simple mistakes. They can sometimes make erroneous judgments because of irrelevant context or exhibit an issue called sycophancy, where the model agrees with the input text even though it’s incorrect.

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Despite OpenAI Shakeup, Augmented Reality Is Game-Changer, Say Neurosurgeons

Flipboard

With all the shakeup surrounding OpenAI over the past week, many grew concerned about the widespread impact this could have on the medical field, particularly with respect to innovations like Augmented Reality for surgical procedures.

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UC Berkeley Researchers Propose CRATE: A Novel White-Box Transformer for Efficient Data Compression and Sparsification in Deep Learning

Marktechpost

The practical success of deep learning in processing and modeling large amounts of high-dimensional and multi-modal data has grown exponentially in recent years. Much of this achievement can be attributed to deep networks’ skill at discovering compressible low-dimensional structures in data and subsequently transforming these discoveries into an economical, i.e., compact and structured, representation.

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Cardano blockchain network breaks new ground with revolutionary AI chatbot Girolamo | Cryptopolitan

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Cardano, a leading blockchain platform, has unveiled Girolamo, its first internet-generative chatbot, signaling a major advancement in the intersection of

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15 Modern Use Cases for Enterprise Business Intelligence

Large enterprises face unique challenges in optimizing their Business Intelligence (BI) output due to the sheer scale and complexity of their operations. Unlike smaller organizations, where basic BI features and simple dashboards might suffice, enterprises must manage vast amounts of data from diverse sources. What are the top modern BI use cases for enterprise businesses to help you get a leg up on the competition?

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Meet HyperHuman: A Novel AI Framework for Hyper-Realistic Human Generation with Latent Structural Diffusion

Marktechpost

The generation of hyper-realistic human images from user-defined conditions, such as text and pose, is meaningful for various applications, including image animation and virtual try-ons. Numerous efforts have been made to explore the task of controllable human image generation. Early methods either relied on variational auto-encoders (VAEs) in a reconstruction manner or improved realism through generative adversarial networks (GANs).

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The Future of Artificial Intelligence (AI): Opportunities

Flipboard

The 2023 word of the year: artificial intelligence. And it’s pushing the boundaries of technology capabilities and human intelligence.

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Meet snnTorch: An Open-Source Python Package for Performing Gradient-based Learning with Spiking Neural Networks

Marktechpost

In artificial intelligence, efficiency, and environmental impact have become paramount concerns. Addressing this, Jason Eshraghian from UC Santa Cruz developed snnTorch, an open-source Python library implementing spiking neural networks, drawing inspiration from the brain’s remarkable efficiency in processing data. The crux, highlighted in the research, lies in the inefficiency of traditional neural networks and their escalating environmental footprint.

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A bold step to secure cloud computing for the AI era

Flipboard

Last year, the U.S. government spent $12.3 billion on cloud services. That figure is estimated to grow to $16 billion this year.

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From Diagnosis to Delivery: How AI is Revolutionizing the Patient Experience

Speaker: Simran Kaur, Founder & CEO at Tattva Health Inc.

The healthcare landscape is being revolutionized by AI and cutting-edge digital technologies, reshaping how patients receive care and interact with providers. In this webinar led by Simran Kaur, we will explore how AI-driven solutions are enhancing patient communication, improving care quality, and empowering preventive and predictive medicine. You'll also learn how AI is streamlining healthcare processes, helping providers offer more efficient, personalized care and enabling faster, data-driven

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Check Out This New AI System Called Student of Games (SoG) that is capable of both Beating Humans at a Variety of Games and Learning to Play New Ones

Marktechpost

There is a long tradition of using games as AI performance indicators. Search and learning-based approaches performed well in various perfect information games, while game theory-based methods performed well in a few imperfect information poker variations. By combining directed search, self-play learning, and game-theoretic reasoning, the AI researchers from EquiLibre Technologies, Sony AI, Amii and Midjourney, working with Google’s DeepMind project, propose Student of Games, a general-pur

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Copy-Pasting From ChatGPT: Avoiding Backgrounds

Flipboard

Effortlessly copy-paste from ChatGPT without unwanted backgrounds! Our comprehensive blog equips you with valuable tips and tricks to ensure clean and efficient content extraction.

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This AI Research Proposes Random Slices Mixing Data Augmentation (RSMDA) for Superior Image Classification: A Novel Approach to Enhancing Neural Network Accuracy and Robustness

Marktechpost

Data augmentation is a critical technique in deep learning that involves creating new training data by modifying existing samples. It is essential because it diversifies the training data, improving the model’s ability to generalize to new, unseen examples. Creating variations of existing samples prevents overfitting and helps the model learn more robust and adaptable features, which is crucial for accurate predictions in real-world scenarios.

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Does Midjourney Have an API? Beginner’s Guide to Midjourney API

Flipboard

Discover the gateway to unlocking Midjourney's full potential! Dive into our beginner's guide to Midjourney API and find out if this powerful tool has the API you've been looking for.

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Prepare Now: 2025s Must-Know Trends For Product And Data Leaders

Speaker: Jay Allardyce, Deepak Vittal, and Terrence Sheflin

As we look ahead to 2025, business intelligence and data analytics are set to play pivotal roles in shaping success. Organizations are already starting to face a host of transformative trends as the year comes to a close, including the integration of AI in data analytics, an increased emphasis on real-time data insights, and the growing importance of user experience in BI solutions.

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Banking: Now is not the time (or is it?)

SAS Software

Despite the wild ride and changing market conditions of the past few years, global banking has proven to be largely resilient and generally sees a more positive outlook. Inflationary pressures have brought the “low for long” interest rate era to an end (or at least to a sustained pause), allowing [.] Banking: Now is not the time (or is it?

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What's New in Claude 2.1: Latest AI Features Revealed

Flipboard

Anthropic recently launched Claude 2.1 and it brings some great new features to the AI chatbot. Developed by Anthropic, Claude 2.

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Japanese EV Maker Shows Off Tiny Solar-Powered Van Ahead of US Debut

Extreme Tech

Americans will be able to place their orders for the HW Electro Puzzle as early as 2025.

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Generative AI: Precursor to Autonomous Analytics - DataScienceCentral.com

Flipboard

We are living in a time of unprecedented change and innovation.

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The Tumultuous IT Landscape Is Making Hiring More Difficult

After a year of sporadic hiring and uncertain investment areas, tech leaders are scrambling to figure out what’s next. This whitepaper reveals how tech leaders are hiring and investing for the future. Download today to learn more!

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A new Giant LLM from Inflection(5K H100 GPUs)

Bugra Akyildiz

Articles Inflection announced releasing a new giant LLM call called inflection-2 : Inflection-2 was trained on 5,000 NVIDIA H100 GPUs in fp8 mixed precision for ~10²⁵ FLOPs. This puts it into the same training compute class as Google’s flagship PaLM 2 Large model, which Inflection-2 outperforms on the majority of the standard AI performance benchmarks, including the well known MMLU, TriviaQA, HellaSwag & GSM8k.

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Drones and AI Could Locate Land Mines in Ukraine

Flipboard

An AI model could speed up laborious and dangerous demining efforts

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Unlocking the Power of PostgreSQL: A Guide to Python Database Interactions

Mlearning.ai

Step by Step Walkthrough from Installation of PostgreSQL to Application with SQLAlchemy and psycopg2 Continue reading on MLearning.

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AI Bionic Blogging

Flipboard

New tools can provide new opportunities to not only “enhance efficiency,” but (in some cases) “transformatively empower” users to do things which were previously impossible.

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Improving the Accuracy of Generative AI Systems: A Structured Approach

Speaker: Anindo Banerjea, CTO at Civio & Tony Karrer, CTO at Aggregage

When developing a Gen AI application, one of the most significant challenges is improving accuracy. This can be especially difficult when working with a large data corpus, and as the complexity of the task increases. The number of use cases/corner cases that the system is expected to handle essentially explodes. 💥 Anindo Banerjea is here to showcase his significant experience building AI/ML SaaS applications as he walks us through the current problems his company, Civio, is solving.

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This AI Research from China Explores the Illusionary Mind of AI: A Deep Dive into Hallucinations in Large Language Models

Marktechpost

Large language models have recently brought about a paradigm change in natural language processing, leading to previously unheard-of advancements in language creation, comprehension, and reasoning. However, a troubling tendency that is concurrent with LLMs’ quick development is their propensity to induce hallucinations, leading to information that seems credible but lacks factual backing.

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Advancements in AI Transform Cardiovascular Healthcare

Flipboard

Recent breakthroughs in artificial intelligence (AI) applications for detecting heart valvular disease and predicting cardiovascular risks have …

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AI Transforms Banking Sector While Humans Remain Indispensable

Flipboard

Artificial Intelligence (AI) is revolutionizing the banking industry, streamlining operations, enhancing customer service, and mitigating risks.