New AI-Based Navigation Helps Loon’s Balloons Hover in Place

Candido and his team have been working on this problem for several years, since the company was first launched as part of the Google X research lab in 2012. Loon is now a subsidiary of Google’s parent company Alphabet.

The big advancement since then has been applying reinforcement learning, something previously used in video games, to a real-world challenge, according to Marc Bellemare, lead author on the Nature paper and a research scientist at Google Canada. “Machine learning refers to the idea of taking data and making predictions about outcomes,” Bellemare says. “With reinforcement learning we are focusing on the decision part. How do we go up or down based on that data? Not only is [the AI controller] making decisions, but making decisions over time.”

Some experts believe the AI-powered balloons can also be used to monitor Earth’s environmental vital signs, such as checking on melting in the Arctic

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New AI-based algorithm processes tissue oxygenation data faster and more accurately than conventional techniques — ScienceDaily

Tissue oxygenation is a measure of the oxygen level in biological tissue and is a useful clinical biomarker for tissue viability. Abnormal levels may indicate the presence of conditions such as sepsis, diabetes, viral infection, or pulmonary disease, and effective monitoring is important for surgical guidance as well as medical care.

Several techniques exist for the measurement of tissue oxygenation, but they all have some limitations. For instance, pulse oximetry is robust and low-cost but cannot provide a localized measure of oxygenation. Near-infrared spectroscopy, on the other hand, is prone to noisy measurements due to pressure-sensitive contact probes. Spatial frequency domain imaging (SFDI) has emerged as a promising noncontact technique that maps tissue oxygen concentrations over a wide field of view. While simple to implement, SFDI has its own limitations: it requires a sequence of several images for its predictions to be accurate and is prone to errors when working

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AI-Based HR Tech Startup Pulsifi Bags $1.8 Mn In Angel Funding

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AI-driven HR tech startup Pulsifi on Wednesday announced that it has raised $1.8 million in angel funding. Apart from the existing investors, new investors such as Aaron Chen, founder of KVC group of companies, Kairous Capital, and Rajesh Lingappa, co-founder of RedMart joined the round.

The latest investment brings the startup’s total funding to $4 million. Based in Singapore and Malaysia, Pulsifi claims to help organizations and people discover their potential through predictive AI technology. The startup combines organizational psychology and data science into a powerful AI SaaS platform.

After unifying multiple sources of people data such as CVs, psychometric assessments, video

Interviews, Pulsifi’s People Data Platform understands hard skills and soft traits, uses AI models to accurately predict work outcomes, thus helping enterprises significantly improve quality and efficiency in

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