Lifeboat Foundation

Picture a smartphone clad in a casing that’s not just for protection but also doubles as a reservoir of electricity, or an electric car where the doors and floorboard store energy to propel it forward. Such technologies may one day be a reality, thanks to recent work by engineers at the University of California San Diego.

The researchers have developed what’s called a structural supercapacitor—a device that provides both structural support and energy storage capabilities. Such a device could add more power to electronic gadgets and vehicles without adding extra weight, allowing them to last longer on a single charge.

While the concept of structural supercapacitors is not entirely new, it has been a longstanding challenge to create a single device that excels at both bearing mechanical loads and storing electrical energy efficiently. Traditional supercapacitors are great at energy storage but lack the mechanical strength to serve as structural components. On the flip side, structural materials can provide support but fall short when it comes to energy storage.

Google DeepMind and academic partners have unveiled an AI that trains robots for generalized tasks using the “Open X-Embodiment” dataset. ConceptGraphs, on the other hand, offers a new 3D scene representation, improving robot perception and planning by combining vision and language.

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Continue reading “Google’s RT-2-X Generalist AI Robots: 500 Skills, 150,000 Tasks, 1,000,000+ Workflows” »

Kenya was a leader in mobile money. Now with highways with charging stations every 25km, and this.

Technology company Roam announced the launch of the ‘Made in Kenya’, fully electric, Roam Move shuttle bus mid last month. The zero-emissions shuttle bus and is equipped with a 170 kWh battery pack and can travel 200 kilometres on a single charge. It also has a fast plug-in battery charging that ensures it is fully charged in less than two hours.

By: kathryn hardison, austin business journal.

Posted: Oct 3, 2023 / 01:18 PM CDT

GAIA-1 is a cutting-edge generative world model built for autonomous driving. A world model learns representations of the environment and its future dynamics, providing a structured understanding of the surroundings that can be leveraged for making informed decisions when driving. Predicting future events is a fundamental and critical aspect of autonomous systems. Accurate future prediction enables autonomous vehicles to anticipate and plan their actions, enhancing safety and efficiency on the road. Incorporating world models into driving models yields the potential to enable them to understand human decisions better and ultimately generalise to more real-world situations.

GAIA-1 is a model that leverages video, text and action inputs to generate realistic driving videos and offers fine-grained control over ego-vehicle behaviour and scene features. Due to its multi-modal nature, GAIA-1 can generate videos from many prompt modalities and combinations.

Examples of types of prompts that GAIA-1 can use to generate videos. GAIA-1 can generate videos by performing the future rollout starting from a video prompt. These future rollouts can be further conditioned on actions to influence particular behaviours of the ego-vehicle (e.g. steer left), or by text to drive a change in some aspects of the scene (e.g. change the colour of the traffic light). For speed and curvature, we condition GAIA-1 by passing the sequence of future speed and/or curvature values. GAIA-1 can also generate realistic videos from text prompts, or by simply drawing samples from its prior distribution (fully unconditional generation).

With Honda’s EV offensive finally starting, the Japanese automaker is already giving us a preview of what could be its next-gen electric SUV and sedan concepts in its latest video.

After releasing new details on its first electric SUV, the 2024 Prologue, Honda is showing off two new EV concepts.

The Honda Prologue is co-developed with General Motors. Built on GM’s Ultium platform (the same one powering upcoming EVs, including the Blazer, Equinox, and Silverado), Honda’s electric SUV will feature an expected range of over 300 miles.

Small mobile robots carrying sensors could perform tasks like catching gas leaks or tracking warehouse inventory. But moving robots demands a lot of energy, and batteries, the typical power source, limit lifetime and raise environmental concerns. Researchers have explored various alternatives: affixing sensors to insects, keeping charging mats nearby, or powering the robots with lasers. Each has drawbacks: Insects roam, chargers limit range, and lasers can burn people’s eyes.

Researchers at the University of Washington have now created MilliMobile, a tiny, self-driving robot powered only by surrounding light or radio waves. Equipped with a solar panel-like energy harvester and four wheels, MilliMobile is about the size of a penny, weighs as much as a raisin and can move about the length of a bus (30 feet, or 10 meters) in an hour even on a cloudy day. The robot can drive on surfaces such as concrete or packed soil and carry three times its own weight in equipment like a camera or sensors. It uses a light sensor to move automatically toward light sources so it can run indefinitely on harvested power.

The team will present its research Oct. 2 at the ACM MobiCom 2023 conference in Madrid, Spain.

Imagine you’re in an airplane with two pilots, one human and one computer. Both have their “hands” on the controllers, but they’re always looking out for different things. If they’re both paying attention to the same thing, the human gets to steer. But if the human gets distracted or misses something, the computer quickly takes over.

Meet the Air-Guardian, a system developed by researchers at the MIT Computer Science and Artificial Intelligence Laboratory (CSAIL). As modern pilots grapple with an onslaught of information from multiple monitors, especially during critical moments, Air-Guardian acts as a proactive co-pilot; a partnership between human and machine, rooted in understanding attention.

But how does it determine attention, exactly? For humans, it uses eye-tracking, and for the neural system, it relies on something called “saliency maps,” which pinpoint where attention is directed. The maps serve as visual guides highlighting key regions within an image, aiding in grasping and deciphering the behavior of intricate algorithms. Air-Guardian identifies early signs of potential risks through these attention markers, instead of only intervening during safety breaches like traditional autopilot systems.

Renewable energy grids need lots of energy storage – and EVs plugged into charging stations represent a huge, city-wide battery just waiting to help out. The Dutch city of Utrecht is about to pioneer a clever way to kickstart two-way charging.

The idea has been done plenty at the domestic level – where devices like Toyota’s V2H (vehicle-to-home) charging system can turn an electric car into a high-powered backup power supply capable of running your whole home for days at a time.

And people have been talking about it on a broader, city-wide scale since the dawn of the EV revolution; the same high power density batteries that makes EVs so quick to accelerate make them perfect for quickly sending power back into the grid to smooth out demand spikes.