Lily Nelson
Using AI to Fight Wildfires -- Prevention, ...

In a world overshadowed by the rapid deterioration of its climate, AI engineers are beginning to apply machine learning technology to issues of environmental justice and crisis. In California, where wildfires have ravaged over 570,000 acres of land and forced 41,000 evacuations already this summer, AI is being used to prevent and monitor forest fires throughout the state.

Using AI to Fight Wildfires -- Prevention, Detection, & Monitoring with Computer Vision

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DeepSeek, Cost-Effective AI, and the Path to AGI: A Conversation with one of Xyonix's Principal Data Scientists

DeepSeek, Cost-Effective AI, and the Path to AGI: A Conversation with one of Xyonix's Principal Data Scientists

When DeepSeek claimed to have trained a top-tier AI model for a fraction of the usual cost, the tech world took notice—but was it truly a breakthrough, or just clever marketing? With unprecedented transparency and bold promises, DeepSeek challenged the norms of AI development, sparking excitement and skepticism alike. In this article, Xyonix’s Marketing Coordinator, Jessie Dibb, sits down with AI expert Carsten Tusk to cut through the noise, separating fact from hype and unpacking what it means for the future of AI.

Filling in the Gaps: AI-Powered Data Imputation Using Autoencoders

Filling in the Gaps: AI-Powered Data Imputation Using Autoencoders

Missing data can disrupt machine learning workflows, but imputation can help fill in the blanks to keep your models on track. Autoencoders, a type of neural network, excel at reconstructing data by learning complex patterns, outperforming traditional methods like random forest imputation. In our experiment on housing data, autoencoders reduced errors by 3-6 times across features, proving their effectiveness in handling intricate feature relationships. This makes them a powerful tool for imputation and beyond, with applications in denoising, feature extraction, and anomaly detection.

Year in Review: 6 Most Listened to Your AI Injection Episodes in 2023

Year in Review: 6 Most Listened to Your AI Injection Episodes in 2023

As 2023 draws to an end, we reflect on a year of remarkable growth and insights in artificial intelligence through the lens of Your AI Injection. This year's episodes have been a treasure trove of knowledge, featuring discussions on AI's role in mental health therapy, the evolution of virtual concierges, AI-assisted memory extension, and more. If you're curious about the future of AI and its practical applications, these episodes offer a compelling and informative journey, illuminating AI's potential to reshape various aspects of our lives. Learn more about our top podcasts of the year in this article:

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Generative AI and Beyond: Strategies for Directors of Innovation to Thrive

Generative AI and Beyond: Strategies for Directors of Innovation to Thrive

The Director of Innovation plays a crucial role in a company by staying informed about various technological advancements to maintain the company's competitive edge. In 2024, the key focus is generative AI, a technology prevalent in headlines and discussions across various domains, including everyday settings. Learn more about the relevance of AI in trend analysis, opportunity identification, and strategic planning in this article.

Innovate or Die: Utilizing Generative AI to Survive and Thrive in the Modern Business World

Innovate or Die: Utilizing Generative AI to Survive and Thrive in the Modern Business World

AI has rapidly evolved into a daily necessity by 2023, with GPT-4 marking a significant leap in language models and public awareness. This advancement has spurred transformative changes across various sectors, particularly in creative fields. In this era, companies embracing innovation and risk-taking are leading the new AI age, with generative AI emerging as a pivotal tool reshaping business possibilities.

How Autonomous AI Agents are Reshaping Industries and Redefining Expertise

How Autonomous AI Agents are Reshaping Industries and Redefining Expertise

Recent advancements in AI technology have reshaped everyday life and industries, introducing autonomous functionality in products like Tesla's Autopilot and Roomba, and opening up new frontiers in complex problem-solving. This article explores the rapid progression towards a future where AI is not just a tool, but a collaborative force in driving human progress.

Using AI to Predict Influenza, C19 and Other Infectious Disease Rates

AI can be used to generate regional forecasts of infectious disease rates that, in turn, empower government and other leaders to make prudent social distancing and other preemptive modifications. As a case study, we will look at influenza data supplied by the Centers for Disease Control. Our goal is to use ILI data to train a model that will accurately predict future seasonal flu levels.

How to Spot Great AI Opportunities in Your Business

You probably suspect AI can dramatically improve your business, but perhaps you are not sure exactly how -- perhaps you are even worried that a start up or tech company is gunning for your business. Ask yourself two questions: 1. what are the high level business problems that could be transformational if solved and 2. which business problems are feasible to solve with AI to some meaningful degree.

5 Tips for Securing Executive Buy-In on Your AI Project

5 Tips for Securing Executive Buy-In on Your AI Project

When securing executive buy-in for your potential AI project, there are a number of considerations to keep in mind. It’s necessary to prepare a strong proposal that not only takes account the motivations of your leaders, but also makes a case for your project’s technical feasibility. In this article we dive into five tips to consider when attempting to secure executive buy-in:

Assistive Technologies and AI: Improving Hearing Aids Using Artificial Intelligence

Assistive Technologies and AI: Improving Hearing Aids Using Artificial Intelligence

Hearing aids are a crucial assistive technology for the deaf and hard of hearing communities. However, many who would benefit from the use of hearing aids show a reluctance that stems from a lack of confidence in their value. AI is being used to address the concerns of users with the goal of improving accessibility as well as mental health and cognitive outcomes.

Using AI To Optimize Mechanical Carbon Capture & Storage Systems

Using AI To Optimize Mechanical Carbon Capture & Storage Systems

Since the first oil well was dug in 1859, we have been extracting carbon from the ground and pumping it into our atmosphere. Similar to the hundreds of thousands of oil wells around the world, what if we had many CCS systems capturing carbon, often in the form of oil, and injecting it back into the ground?

Using AI to Identify Plastic Pollution and Expedite Ocean Cleanup

Using AI to Identify Plastic Pollution and Expedite Ocean Cleanup

There is strong demand from governments, environmentalists, and citizens alike to keep our oceans clean and preserve the biodiversity and critical services they provide to life on Earth. Many emerging companies and organizations are changing the landscape of ocean conservation by developing innovative AI monitoring techniques and robotic technologies to identify pollution in our oceans and waterways and provide an expedited approach to cleaning it up.

Improving Carbon Sequestration, Part 2: Organizations Using AI to Monitor Deforestation & Improve Decisions

Improving Carbon Sequestration, Part 2: Organizations Using AI to Monitor Deforestation & Improve Decisions

Illegal logging is an environmental and economic loss for tropical regions like the Amazon. Illegal logging is associated with billions of dollars of lost revenue each year in addition to depressed timber prices, yet effective strategies to curb illegal deforestation are hard to find. Harnessing AI serves as a promising innovation for enhancing the accuracy of forest monitoring, with the potential to be adapted to the Amazon basin and other tropical regions.

Improving Carbon Sequestration, Part 1: Leveraging AI to Better Map and Monitor Stocks

Improving Carbon Sequestration, Part 1: Leveraging AI to Better Map and Monitor Stocks

In recent years, we’ve witnessed the shocking imagery of Australia, the western United States, Europe, and the Amazon rainforest engulfed in flames, the unprecedented intensity, duration, and extent of the fires inflicting irreversible damage on countries, economies, ecosystems, and the atmosphere. Managing and conserving forest resources remains a top priority, but mapping and monitoring global forests are crucial to understanding how to properly manage and protect them, especially in monitoring wildfires and illegal deforestation, as well as knowing which forests to prioritize preserving. Identifying and monitoring forests with strong conservation value and high carbon stock is also a huge leverage point for targeted intervention of Artificial Intelligence.