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ML Olympiad returns with over 20 challenges

AI News

The popular ML Olympiad is back for its third round with over 20 community-hosted machine learning competitions on Kaggle. Detect Hallucinations in LLMs Luca Massaron (AI/ML GDE) presents a unique challenge of identifying hallucinations in answers provided by a Mistral 7B instruct model.

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How AI and ML Are Scaling Data Collection to Transform Medical Monitoring

Unite.AI

Artificial intelligence (AI) and machine learning (ML) can be found in nearly every industry, driving what some consider a new age of innovation – particularly in healthcare, where it is estimated the role of AI will grow at a 50% rate annually by 2025. This ensures we are building safe, equitable, and accurate ML algorithms.

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The merging of AI and blockchain was inevitable – but what will it mean?

AI News

To elaborate, Machine learning (ML) models – especially deep learning networks – require enormous amounts of data to train effectively, often relying on powerful GPUs or specialised hardware to process this information quickly. trillion by 2030 , while the blockchain market is set to reach a valuation of $248.8

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Last-Mile Deliveries in 2030: Product Trends that Will Change the Industry for the Better

Unite.AI

The future of last-mile deliveries holds promise for customers, driven by emerging trends poised to reshape what is possible in the logistics industry by 2030. This information is filtered through the AI/ML process to generate optimized on-road delivery routes.

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OmniOps Secures $8 Million to Accelerate Saudi Arabia’s AI Transformation

Unite.AI

Empowering the Next Generation of AI in Saudi Arabia Backed by a strategic board of directors that includes tech advisor and board member Zaid Farekh, OmniOps is dedicated to advancing AI in alignment with Saudi Arabias Vision 2030 and the Saudi National Strategy for Data and AI.

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Here’s how niche AI assistants are helping unlock the technology’s true capabilities

AI News

To elaborate, AI assistants have evolved into sophisticated systems capable of understanding context, predicting user needs and even engaging in complex problem-solving tasks — thanks to the developments that have taken place in domains such as natural language processing (NLP), machine learning (ML) and data analytics. through to 2032.

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Predicting Sustainable Development Goals (SDG) Scores by 2030: A Machine Learning Approach with ARIMAX and Linear Regression Models

Marktechpost

Forecasting Sustainable Development Goals (SDG) Scores by 2030: The Sustainable Development Goals (SDGs) set by the United Nations aim to eradicate poverty, protect the environment, combat climate change, and ensure peace and prosperity by 2030. If you like our work, you will love our newsletter.