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'Quantum AI' algorithms already outpace the fastest supercomputers, study says

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Image credit: BlackJack3D via Getty Images) Scientists say they have made a breakthrough after developing a quantum computing technique to run machine learning algorithms that outperform state-of-the-art classical computers. The scientists used a method that relies on a quantum photonic circuit and a bespoke machine learning algorithm.

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From Hallucinations to Healing: Reducing Errors in AI for Healthcare

Towards AI

Today, approximately 20% of healthcare organizations are already using AI tools, a figure projected to surge as the market grows to an estimated $490 billion by 2032. A single AI-generated error here could lead to serious consequences for patient health.

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Unsupervised learning

Dataconomy

Unsupervised learning is a fascinating area within machine learning that uncovers hidden patterns in data without the need for pre-labeled examples. By allowing algorithms to learn autonomously, it opens the door to various innovative applications across different fields. What is unsupervised learning?

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Verified Market Research: AI agents set to hit $51.58B by 2032

Dataconomy

billion by 2032, according to a new report from Verified Market Research. Driving this growth are advancements in machine learning, increased enterprise automation, and a growing need for virtual assistants. Technology trends: Examines the impact of NLP, machine learning, and generative AI on AI agent capabilities.

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What is Open Database Connectivity (ODBC) and Why Is It Important?

Pickl AI

billion in 2023, is projected to grow at a remarkable CAGR of 19.50% from 2024 to 2032. As businesses increasingly rely on data-driven decision-making, efficient database connectivity becomes crucial for integrating diverse data sources and ensuring smooth application functionality. The ODBC market , valued at USD 1.5

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Unleashing the multimodal power of Amazon Bedrock Data Automation to transform unstructured data into actionable insights

AWS Machine Learning Blog

It often requires managing multiple machine learning (ML) models, designing complex workflows, and integrating diverse data sources into production-ready formats. billion by 2032 with a CAGR of 30.1 %. Traditionally, transforming raw data into actionable intelligence has demanded significant engineering effort.

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Why Palo Alto Networks is focusing on just a few big gen AI bets

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This has led to some empty shelves at Whole Foods, as UNFI is the grocery chain’s primary distributor, a relationship that was extended to 2032 last year. UNFI hasn’t shared specifics about the cyberattack and hasn’t set a clear timeline for when its distribution system would fully return to normal.

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