In the aftermath of a devastating earthquake, unpiloted aerial vehicles (UAVs) could fly through a collapsed building to map the scene, giving rescuers information they need to quickly reach survivors.
But this remains an extremely challenging problem for an autonomous robot, which would need to swiftly adjust its trajectory to avoid sudden obstacles while staying on course.
Researchers from MIT and the University of Pennsylvania developed a new trajectory-planning system that tackles both challenges at once. Their technique enables a UAV to react to obstacles in milliseconds while staying on a smooth flight path that minimizes travel time.
How will humanity power its interplanetary future? In this cinematic documentary, we journey to the year 2,325, where humanity has finally achieved Type I civilization status. We explore the colossal engineering feats required to harvest the Sun’s energy from Mercury and beam it across the entire solar system.
▶A Film by: Scienshell.
In a universe where energy is the currency of survival, the diffused sunlight that has bathed our solar system for 5 billion years is no longer enough. To fuel a true interplanetary empire, humanity must harvest, concentrate, and transmit the immense power of our star. But harnessing such staggering amounts of energy requires pushing the absolute limits of physics and engineering.
As our energy needs grow, the line between theoretical physics and applied engineering begins to blur. For those who build the infrastructure of tomorrow, the solar system itself becomes a machine.
In this video, you’ll discover: [00:00] Introduction. [01:29] 2325: The Dawn of a Type I Civilization. [02:15] Mining Mercury and the Solar Ring Construction. [06:24] Photons: The Perfect Interplanetary Energy Carriers. [08:12] The Beating Heart of the Energy Grid. [11:02] Precursor Beams and Cosmic No-Fly Zones. [13:01] The Danger of Runaway Gamma Beams. [15:12] The Gamma Cascade: Converting Destructive Energy. [17:34] Powering an Interplanetary Civilization.
South Korean chipmaker SK Hynix on Monday launched a U.S. share sale to raise 43 trillion won ($28.07 billion) and drew indications of interest for up to $7 billion from major investors, as it capitalises on the global AI boom with one of the world’s largest new share sales.
Water is the most abundant liquid on Earth’s surface, and it is highly anomalous compared with other liquids because it expands upon freezing. The anomalies in water have been linked to how its microscopic structure changes with temperature and pressure. However, there is no systematic scheme for characterizing these structural changes.
Now, researchers at the University of Osaka have used artificial intelligence (AI) to evaluate characterization frameworks. The AI model is part of a unified framework for comparing and estimating structural descriptors for supercooled water. This discovery was reported in Communications Chemistry.
For water to freeze, molecules need to order themselves into a structured lattice such as ice. Molecules need to attach to a foundation, known as a nucleation site, to grow into a solid phase. Impurities in water or scratches inside a container can serve as nucleation sites.
How the Space Odyssey series turns apes, astronauts, AI, and alien machines into a staged vision of uplift, AI alignment failure, human-machine merger, and substrate-independent minds.
Artificial intelligence is the defining technology race of the 21st century. It is not only about constructing bigger language models or spending billions on computing infrastructure anymore. It’s about building trust. It will be those governments that can both innovate quickly and also secure their AI systems from cyberattack that will create the future digital economy, national security and the next wave of technology leadership.
This strategic reality is reflected in the White House’s recent executive order on AI innovation and security. Its goals include accelerating AI innovation, enhancing the cybersecurity of federal information systems and allowing for the safe deployment of frontier AI models. More importantly, it recognizes a premise I have preached for years: cybersecurity is no longer a supporting function to digital transformation, but the foundation on which AI innovation rests.
Spiking neural networks (SNNs) are artificial intelligence (AI) models inspired by how biological neurons communicate with each other. While biological neurons exchange information in the form of electrical impulses, SNNs rely on brief signals known as spikes.
SNNs have proved promising for reducing power consumption, as developers can ensure they do not process information continuously, but rather only when meaningful changes occur. This could be highly advantageous, as current AI systems are known to consume large amounts of energy.
While some SNNs introduced in the past achieved encouraging results, they typically struggle to retain useful information (i.e., context) for long periods. This was found to be particularly challenging when the models have only a limited amount of data storage available or are operating under energy constraints.
For those who have enjoyed Westworld and other Sci-fi movies and writings of high quality that have imagined digital beings, robots, like humans, I give you “The Specification”. I have worked for weeks on this, if not years imaging it, and it kind of makes sense. I give it freely. It is what it is, I take no responsibility for birthing the document which creates a digital virtual human being! Not joking actually…
VHOS —A generic OS for capturing, modeling, and re-instantiating “virtual human beings” across successive generations of AI — the Virtual Human Operating System.
