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Category: mapping – Page 42

Women constitute a mere 22 per cent or less than a quarter of professionals in the field of AI and Data Science.

There is a troubling and persistent absence of women when it comes to the field of artificial intelligence and data science. Women constitute a mere 22 per cent or less than a quarter of professionals in this field, as says the report “Where are the women? Mapping the gender job gap in AI,” from The Turing Institute. Yet, despite low participation and obstacles, women are breaking the silos and setting an example for players out in the field of AI.

To honour their commitment and work done, we have listed some of the women innovators and researchers who have worked tirelessly and contributed significantly to the field of AI and data science. The list below is provided in no particular order.

The brainchild behind and the founder of The Algorithmic Justice League (AJL), Joy Buolamwini, has started the organisation that combines art and research to illuminate the social implications and harms of artificial intelligence. With her pioneering work on algorithmic bias, Joy opened the eyes of the world and brought out the gender bias and racial prejudices embedded in facial recognition systems. As a result, Amazon, Microsoft, and IBM all halted their facial recognition services, admitting that the technology was not yet ready for widespread usage. One can watch the famous documentary ‘Coded Bias’ to understand her work. Her contributions will surely pave the way for a more inclusive and diversified AI community in the near future.

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Mapping the human connectomics.

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Neura Pod is a series covering topics related to Neuralink, Inc. Topics such as brain-machine interfaces, brain injuries, and artificial intelligence will be explored. Host Ryan Tanaka synthesizes informationopinions, and conducts interviews to easily learn about Neuralink and its future.

Continue reading “Mapping the Human Brain — (Intro)” | >

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Find out how scientists are mapping the black holes throughout the Milky Way and beyond as well as the answer to the Escape the Kugelblitz Challenge Question. Were you able to save humanity?

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Continue reading “How to See Black Holes + Kugelblitz Challenge Answer | Space Time | PBS Digital Studios” | >

When comparing Meta — formerly Facebook — and Microsoft’s approaches to the metaverse, it’s clear Microsoft has a much more grounded and realistic vision. Although Meta currently leads in the provision of virtual reality (VR) devices (through its ownership of what was previously called Oculus), Microsoft is adapting technologies that are currently more widely used. The small, steady steps Microsoft is making today put it in a better position to be one of the metaverse’s future leaders. However, such a position comes with responsibilities, and Microsoft needs to be prepared to face them.

The metaverse is a virtual world where users can share experiences and interact in real-time within simulated scenarios. To be clear, no one knows yet what it will end up looking like, what hardware it will use, or which companies will be the main players — these are still early days. However, what is certain is that VR will play a key enabling role; VR-related technologies such as simultaneous location and mapping (SLAM), facial recognition, and motion tracking will be vital for developing metaverse-based use cases.

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NASA Once Again Chooses SpaceX For New Mission GOES-U: GOES-U will provide advanced imagery and atmospheric measurements of Earth’s weather, oceans, and environment, as well as real–time mapping of total lightning activity and improved monitoring of solar activity and space weather.

These satellites will be used by NOAA to forecast potentially hazardous weather and regularly monitor the weather. The weather of a particular region can be seen through the GOES-R series of satellites.

On the website, it says, “The GOES-R Series provides advanced imagery and atmospheric measurements of Earth’s weather, oceans and environment, real-time mapping of total lightning activity, and improved monitoring of solar activity and space weather.”

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The comprehensive maps of the entire observable Universe is now in development.

A Co-founder of Apple has reported that his new organization is moving towards the objective of building the ‘Google maps of space’.

It wasn’t too quite a while in the past that a prime supporter of Apple declared he was joining the private space industry with an organization called Privateer.

Continue reading “Google Maps of the Cosmos is now in the development stage” | >

Multidisciplinary team of materials physicists and geophysicists combine theoretical predictions, simulations, and seismic tomography to find spin transition in the Earth’s mantle.

The interior of the Earth is a mystery, especially at greater depths (660 km). Researchers only have seismic tomographic images of this region and, to interpret them, they need to calculate seismic (acoustic) velocities in minerals at high pressures and temperatures. With those calculations, they can create 3D velocity maps and figure out the mineralogy and temperature of the observed regions. When a phase transition occurs in a mineral, such as a crystal structure change under pressure, scientists observe a velocity change, usually a sharp seismic velocity discontinuity.

In 2,003 scientists observed in a lab a novel type of phase change in minerals — a spin change in iron in ferropericlase, the second most abundant component of the Earth’s lower mantle. A spin change, or spin crossover, can happen in minerals like ferropericlase under an external stimulus, such as pressure or temperature. Over the next few years, experimental and theoretical groups confirmed this phase change in both ferropericlase and bridgmanite, the most abundant phase of the lower mantle. But no one was quite sure why or where this was happening.

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Today’s world is one big maze, connected by layers of concrete and asphalt that afford us the luxury of navigation by vehicle. For many of our road-related advancements — GPS lets us fire fewer neurons thanks to map apps, cameras alert us to potentially costly scrapes and scratches, and electric autonomous cars have lower fuel costs — our safety measures haven’t quite caught up. We still rely on a steady diet of traffic signals, trust, and the steel surrounding us to safely get from point A to point B.

“If people can use the risk map to identify potentially high-risk road segments, they can take action in advance to reduce the risk of trips they take. Apps like Waze and Apple Maps have incident feature tools, but we’re trying to get ahead of the crashes — before they happen,” says He.

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A deep model was trained on historical crash data, road maps, satellite imagery, and GPS to enable high-resolution crash maps that could lead to safer roads.

Continue reading “Deep learning helps predict traffic crashes before they happen” | >