Mon.Oct 21, 2024

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Quantum Processing Units: The Future of Computing

Unite.AI

Quantum computing , once a theoretical field, is now rapidly transforming into a groundbreaking technological frontier. At the heart of this revolution are Q uantum Processing Units (QPUs) — the engines powering quantum computers. Unlike classical processors that rely on binary logic (bits representing 0s or 1s), QPUs leverage the unique properties of quantum mechanics to process information in ways that classical computers cannot.

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What is Agentic AI Tool Use Pattern?

Analytics Vidhya

Our previous guide discussed the first Agentic AI design pattern from the Reflection, Tool Use, Planning, and Multi-Agent Patterns list. Now, we will talk about the Tool Use Pattern in Agentic AI. Firstly, let us reiterate the Reflection Pattern article: That article sheds light on how LLMs can use an iterative generation process and self-assessment […] The post What is Agentic AI Tool Use Pattern?

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IBM unveils Granite 3.0 AI models with open-source commitment

AI News

IBM has taken the wraps off its most sophisticated family of AI models to date, dubbed Granite 3.0, at the company’s annual TechXchange event. The Granite 3.0 lineup includes a range of models designed for various applications: General purpose/language: 8B and 2B variants in both Instruct and Base configurations Safety: Guardian models in 8B and 2B sizes, designed to implement guardrails Mixture-of-Experts: A series of models optimised for different deployment scenarios IBM claims that its

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Perplexity AI Races Toward $8B Valuation as Industry Heats Up

Unite.AI

In a significant development that underscores the explosive growth of artificial intelligence technologies, Perplexity AI is reportedly in discussions to secure approximately $500 million in new funding. The potential investment round could catapult the AI search company's valuation to $8 billion, marking a substantial increase from its previous valuation earlier this year.

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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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Navigating the data deluge with robust data intelligence

IBM Journey to AI blog

In the age of relentless digital progression, businesses stand on the brink of a data renaissance. The proliferation of digital devices and interactions has resulted in an unparalleled influx of data, which businesses must navigate with precision and strategy. Enterprises require more than just traditional data management; they need to harness the momentum of advanced data intelligence solutions to help ensure innovative prowess and maintain market dominance.

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3 reasons why the right infrastructure support is essential for AI

IBM Journey to AI blog

Adopting Generative AI (gen AI) is no longer a matter of future speculation. With the vast potential it offers, companies are already maximizing its use to streamline operations, boost productivity, and pass these benefits on to their clients. This transformation comes with new challenges. As clients begin implementing AI on premises, the first step is to evaluate whether their data centers are ready: upgrading the IT infrastructure involves adequate power and cooling, preparing the network to h

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How Colleges Can Accelerate On-Campus Investigations With AI-Powered Digital Evidence Management Systems

Unite.AI

In recent years, universities have seen a growing need to address incidents ranging from minor violations to serious criminal activities. As the volume of video evidence generated from sources like campus surveillance, mobile phones, and body-worn cameras continues to rise, colleges face new challenges in managing and analyzing this data effectively.

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How to convert speech to text in Java

AssemblyAI

Converting speech to text in Java can present challenges due to the complexity of audio processing and the need for accurate speech recognition. However, modern libraries and cloud-based APIs have made it easier to implement these features in Java applications. This article focuses on how to convert speech to text using AssemblyAI's Java SDK, a powerful solution for high-accuracy transcription tasks.

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NVIDIA and Microsoft Give AI Startups a Double Dose of Acceleration

NVIDIA

NVIDIA is expanding its collaboration with Microsoft to support global AI startups across industries — with an initial focus on healthcare and life sciences companies. Announced today at the HLTH healthcare innovation conference, the initiative connects the startup ecosystem by bringing together the NVIDIA Inception global program for cutting-edge startups and Microsoft for Startups to broaden innovators’ access to accelerated computing by providing cloud credits, software for AI development and

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Optimizing The Modern Developer Experience with Coder

Many software teams have migrated their testing and production workloads to the cloud, yet development environments often remain tied to outdated local setups, limiting efficiency and growth. This is where Coder comes in. In our 101 Coder webinar, you’ll explore how cloud-based development environments can unlock new levels of productivity. Discover how to transition from local setups to a secure, cloud-powered ecosystem with ease.

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Amazon Bedrock Custom Model Import now generally available

AWS Machine Learning Blog

Today, we’re pleased to announce the general availability (GA) of Amazon Bedrock Custom Model Import. This feature empowers customers to import and use their customized models alongside existing foundation models (FMs) through a single, unified API. Whether leveraging fine-tuned models like Meta Llama, Mistral Mixtral, and IBM Granite, or developing proprietary models based on popular open-source architectures, customers can now bring their custom models into Amazon Bedrock without the overhead

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New Diabetes Treatment Eliminates Need for Insulin In Most Patients

Extreme Tech

The experimental therapy takes just a few weeks and removed insulin from the equation for 86% of trial participants.

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NVIDIA CEO Jensen Huang to Spotlight Innovation at India’s AI Summit

NVIDIA

The NVIDIA AI Summit India, taking place October 23–25 at the Jio World Convention Centre in Mumbai, will bring together the brightest minds to explore how India is tackling the world’s grand challenges. A major highlight: a fireside chat with NVIDIA founder and CEO Jensen Huang on October 24. He’ll share his insights on AI’s pivotal role in reshaping industries and how India is emerging as a global AI leader, and be joined by the chairman and managing director of Reliance Industries, Mukesh Amb

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Hacker Steals Cisco Data, Puts It Up for Sale

Extreme Tech

The compromised data reportedly includes source code for several of Cisco's enterprise customers, including Microsoft, AT&T, and Bank of America.

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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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IBM Releases Granite 3.0 2B and 8B AI Models for AI Enterprises

Marktechpost

Artificial intelligence is advancing rapidly, but enterprises face many obstacles when trying to leverage AI effectively. Organizations require models that are adaptable, secure, and capable of understanding domain-specific contexts while also maintaining compliance and privacy standards. Traditional AI models often struggle with delivering such tailored performance, requiring businesses to make a trade-off between customization and general applicability.

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New L3Harris Autonomous Recon Vehicle Can Spot Targets, Manage Multiple Drones

Extreme Tech

This self-driving reconnaissance vehicle resembles a small Cybertruck.

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Google DeepMind Introduces Diffusion Model Predictive Control (D-MPC): Combining Multi-Step Action Proposals and Dynamics Models Using Diffusion Models for Online MPC

Marktechpost

Model Predictive Control (MPC), or receding horizon control, aims to maximize an objective function over a planning horizon by leveraging a dynamics model and a planner to select actions. The flexibility of MPC allows it to adapt to novel reward functions at test time, unlike policy learning methods that focus on a fixed reward. Diffusion models learn world dynamics and action sequence proposals from offline data to improve MPC.

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First Intel Core Ultra 9 285 Non-K Benchmark Shows Surprisingly Good Performance

Extreme Tech

At just 65W, it could be the new bang-for-the-buck performance champ.

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The Cloud Development Environment Adoption Report

Cloud Development Environments (CDEs) are changing how software teams work by moving development to the cloud. Our Cloud Development Environment Adoption Report gathers insights from 223 developers and business leaders, uncovering key trends in CDE adoption. With 66% of large organizations already using CDEs, these platforms are quickly becoming essential to modern development practices.

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Meta AI Releases LayerSkip: A Novel AI Approach to Accelerate Inference in Large Language Models (LLMs)

Marktechpost

Accelerating inference in large language models (LLMs) is challenging due to their high computational and memory requirements, leading to significant financial and energy costs. Current solutions, such as sparsity, quantization, or pruning, often require specialized hardware or result in decreased model accuracy, making efficient deployment difficult.

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With Copilot agents, Pets at Home unleashes an AI revolution

Microsoft AI

AI The post With Copilot agents, Pets at Home unleashes an AI revolution appeared first on Source.

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LongAlign: A Segment-Level Encoding Method to Enhance Long-Text to Image Generation

Marktechpost

The rapid progress of text-to-image (T2I) diffusion models has made it possible to generate highly detailed and accurate images from text inputs. However, as the length of the input text increases, current encoding methods, such as CLIP (Contrastive Language-Image Pretraining), encounter various limitations. These methods struggle to capture the full complexity of long text descriptions, making it difficult to maintain alignment between the text and the generated images which creates challenges

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AMD Teases Zen 5 X3D CPU, Cuts Prices on Regular Zen 5 for the Holidays

Extreme Tech

The company hopes to disrupt this week's launch of Intel's Core Ultra 200 CPUs.

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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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MIND (Math Informed syNthetic Dialogue): How Structured Synthetic Data Improves the Mathematical and Logical Capabilities of AI-Powered Language Models

Marktechpost

Large language models (LLMs) can understand and generate human-like text across various applications. However, despite their success, LLMs often need help in mathematical reasoning, especially when solving complex problems requiring logical, step-by-step thinking. This research field is evolving rapidly as AI researchers explore new methods to enhance LLMs’ capabilities in handling advanced reasoning tasks, particularly in mathematics.

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Samsung Unveils Super-Thin Galaxy Z Fold Special Edition

Extreme Tech

The differences are subtle, except for one—but the price is much higher than the non-special foldable.

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The Return of The Marwaha

Artificial Lawyer

Litera has decided to tell its own epic story of tech company management by bringing back Avaneesh Marwaha as CEO.

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Qualcomm Reveals Snapdragon 8 Elite With New Oryon CPU Cores for Mobile

Extreme Tech

The Oryon CPU from Qualcomm's laptop chips comes to smartphones.

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Introducing CDEs to Your Enterprise

Explore how enterprises can enhance developer productivity and onboarding by adopting self-hosted Cloud Development Environments (CDEs). This whitepaper highlights the simplicity and flexibility of cloud-based development over traditional setups, demonstrating how large teams can leverage economies of scale to boost efficiency and developer satisfaction.

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Controllable Safety Alignment (CoSA): An AI Framework Designed to Adapt Models to Diverse Safety Requirements without Re-Training

Marktechpost

As large language models (LLMs) become increasingly capable and better day by day, their safety has become a critical topic for research. To create a safe model, model providers usually pre-define a policy or a set of rules. These rules help to ensure the model follows a fixed set of principles, resulting in a model that works the same for everyone.

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Save $300 on Alienware's Premium 34" QD-OLED Curved Gaming Monitor

Extreme Tech

It has a 3,440-by-1,440 resolution, 21:9 aspect ratio, 175Hz refresh rate, and a 0.1ms gray-to-gray response time.

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JAMUN: A Walk-Jump Sampling Model for Generating Ensembles of Molecular Conformations

Marktechpost

The dynamics of protein structures are crucial for understanding their functions and developing targeted drug treatments, particularly for cryptic binding sites. However, existing methods for generating conformational ensembles are plagued by inefficiencies or lack of generalizability to work beyond the systems they were trained on. Molecular dynamics (MD) simulations, the current standard for exploring protein movements, are computationally expensive and limited by short time-step requirements,