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Games play a key role in AI research.


Generating unlimited diverse training environments for future general agents.

Today we introduce Genie 2, a foundation world model capable of generating an endless variety of action-controllable, playable 3D environments for training and evaluating embodied agents. Based on a single prompt image, it can be played by a human or AI agent using keyboard and mouse inputs.

Games play a key role in the world of artificial intelligence (AI) research. Their engaging nature, unique blend of challenges, and measurable progress make them ideal environments to safely test and advance AI capabilities.

These scenarios pose several new challenges, since the environmental and operational conditions of the mission will strongly differ than those on the International Space Station (ISS). One critical parameter will be the increased mission duration and further distance from Earth, requiring a Life Support System (LSS) as independent as possible from Earth’s resources. Current LSS physico-chemical technologies at the ISS can recycle 90% of water and regain 42% of O2 from the astronaut’s exhaled CO2, but they are not able to produce food, which can currently only be achieved using biology. A future LSS will most likely include some of these technologies currently in use, but will also need to include biological components. A potential biological candidate are microalgae, which compared to higher plants, offer a higher harvest index, higher biomass productivity and require less water. Several algal species have already been investigated for space applications in the last decades, being Chlorella vulgaris a promising and widely researched species. C. vulgaris is a spherical single cell organism, with a mean diameter of 6 µm. It can grow in a wide range of pH and temperature levels and CO2 concentrations and it shows a high resistance to cross contamination and to mechanical shear stress, making it an ideal organism for long-term LSS. In order to continuously and efficiently produce the oxygen and food required for the LSS, the microalgae need to grow in a well-controlled and stable environment. Therefore, besides the biological aspects, the design of the cultivation system, the Photobioreactor (PBR), is also crucial. Even if research both on C. vulgaris and in general about PBRs has been carried out for decades, several challenges both in the biological and technological aspects need to be solved, before a PBR can be used as part of the LSS in a Moon base. Those include: radiation effects on algae, operation under partial gravity, selection of the required hardware for cultivation and food processing, system automation and long-term performance and stability.

The International Space Station (ISS) has been continuously inhabited for over twenty years. The Life Support System (LSS) on board the station is in charge of providing the astronauts with oxygen, water and food. For that, Physico-Chemical (PC) technologies are used, recycling 90% of the water and recovering 42% of the oxygen (O2) from the carbon dioxide (CO2) that astronauts produce (Crusan and Gatens, 2017), while food is supplied from Earth.

Space agencies currently plan missions beyond Low Earth Orbit, with a Moon base or a mission to Mars as potential future scenarios (ESA Blog 2016; ISEGC 2018; NASA 2020). The higher distance from Earth of a lunar base, compared to the ISS, might require the production of food in-situ, to reduce the amount of resources required from Earth. PC technologies are not able to produce food, which can only be achieved using biological organisms. Several candidates are currently being investigated, with a main focus on higher plants (Kittang et al., 2014; Hamilton et al., 2020) and microalgae (Detrell et al., 2020b; Poughon et al., 2020).

Here’s how the winners of NASA’s Deep Space Food Challenge are making food out of thin air.

By Allison Parshall

A few weeks ago, I arrived hungry to the Brooklyn Navy Yard in New York City, ready for a unique culinary experience. Finalists of NASA and the Canadian Space Agency’s Deep Space Food Challenge had come from all across the planet to demonstrate how future astronauts might grow their own food. I descended upon a tiny cup of chocolate mousse topped with a raspberry.

When conventional non-invasive treatments for psychiatric diseases fail, clinicians inevitably have to consider brain surgery. However, brain surgery for psychiatric diseases has long been taboo among the general public due to the infamous history of lobotomy. Thankfully, advancements in brain surgery in recent years are changing the narrative.

Bilateral capsulotomy, more commonly known as , is a form of that has been garnering attention in treating treatment-resistant or refractory (OCD). Patients with refractory OCD experience a debilitating degree of repetitive behaviors and thoughts that they are unable to control, thus downgrading their quality of life.

A group of researchers from South Korea demonstrated that a novel non-invasive bilateral capsulotomy called magnetic resonance-guided focused ultrasound (MRgFUS) capsulotomy is efficacious and safe in treating refractory OCD for up to two years. MRgFUS capsulotomy non-invasively and precisely ablates tissues in the brain region of interest. However, the sustained efficacy of this treatment option was unclear.

A groundbreaking study just revealed AI outperforming human doctors at medical diagnosis — but before you panic, this could be the best news yet for healthcare.

This hits personally for me. From my kiddo’s misdiagnosed case of hives to my own health struggles with multiple doctors, I’ve seen firsthand why we need AI to empower (not replace) medical professionals. I’m sure I’m not the only one.

In this video, we’ll explore:

-The shocking study results (90% AI accuracy vs 74% human doctors)

Boosted by China’s rapid development pace in artificial intelligence (AI) technologies, more companies have noted the huge business potential in AI companionship sectors, as simulated AI pets with adorable appearances gaining increasing popularity among Chinese consumers.

Zhang Yi, CEO of the iiMedia Research Institute, told the Global Times on Sunday that consumers’ demand for emotional support and the capability of current AI technologies offer this type of products greater business potential.

A Beijing-based student in her 20’s surnamed Zhang, who is also an AI technology fan, told the Global Times on Sunday that she bought “Boo Boo,” a simulated AI robotic pet developed by Hangzhou-based Genmoor Technology.

Researchers have developed a liquid ink that can be printed directly onto the scalp to monitor brain activity, offering a less intrusive alternative to traditional EEG setups.

This ink enables the creation of e-tattoos that accurately track brainwaves and maintain connectivity over extended periods. These innovations could drastically change the application of brain-computer interface technologies, making them more comfortable and efficient for users.

Innovative liquid ink for brain activity monitoring.