Lifeboat Foundation

A team of AI researchers from EquiLibre Technologies, Sony AI, Amii and Midjourney, working with Google’s DeepMind project, has developed an 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. In their paper published in the journal Science Advances, the group describes the new system and its capabilities.

Over the past half-century, computer scientists and engineers have developed the idea of machine learning and artificial intelligence, in which human-generated data is used to train computer systems. The technology has applications in a variety of scenarios, one of which is playing board and/or parlor games.

Teaching a computer to play a board game and then improving its capabilities to the degree that it can beat humans has become a milestone of sorts, demonstrating how far artificial intelligence has developed. In this new study, the research team has taken another step toward artificial general intelligence—in which a computer can carry out tasks deemed superhuman.

As an optimist, I believe it will be a catalyst for changes that will help all of us to learn faster and achieve more of our potential.

Focus on the data

Where do I start? Let me start by noting that, in all the conversations about artificial intelligence, very few people are talking about the data. Most people don’t recognize that AI is actually extremely stupid without data. Data is the fuel that shapes the intelligence of AI. Everyone seems to assume that more and more data will be available as AI evolves. But is that assumption valid?

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A new artificial intelligence benchmark called GAIA aims to evaluate whether chatbots like ChatGPT can demonstrate human-like reasoning and competence on everyday tasks.

Created by researchers from Meta, Hugging Face, AutoGPT and GenAI, the benchmark “proposes real-world questions that require a set of fundamental abilities such as reasoning, multi-modality handling, web browsing, and generally tool-use proficiency,” the researchers wrote in a paper published on arXiv.

An important #AI report for breast cancer leading to the potential of sparing chemotherapy for many. The 1st comprehensive analysis of both cancerous and non-cancerous tissue in hundreds of thousands of patient tissues->HiPS score https://nature.com/articles/s41591-023-02643-7

Deep learning enables comprehensive and interpretable scoring for breast cancer prognosis prediction, outperforming pathologists in multicenter validation and providing insight on prognostic biomarkers.

The CEO of Baidu, China’s largest search engine, believes developers should focus on building AI-powered apps on top of existing foundational models.

Companies hope to improve their operations using the new tools. But they want to establish rules that minimize any risks.

AI probably won’t replace the need for humans in the climate change fight, but it could make their work faster and more effective.

Valentinrussanov/iStock.

But a Silicon Valley startup called ClimateAi uses artificial intelligence to help farmers cope with the warming temperatures. The startup has created a platform to assess any place’s climate, water, and soil conditions and forecast its suitability for growing crops in the next 20 years.

Continue reading “AI: A tool for climate resilience and farming” »

Norse Atlantic Airways is teaming up with Avinxt to use their giant robot fueled by green tech and artificial intelligence to perform functions like de-icing, washing, and even giving the engines a good scrub.

The bonus? Regular exterior washing doesn’t just keep the planes looking sharp but cuts down on air resistance, saving up to two percent on fuel burn.

Avinxt will start building the robot in 2024, and will be able to handle big passenger planes, smaller private planes, and even military aircraft, announced Norse in a press release.

Geoffrey Hinton and Yann LeCun argue on X.

For every AI doomer, there’s an AI idealist to counteract their view.

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Continue reading “AI godfathers clash on whether LLMs can understand what they say” »