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My point on this would just be that AI will be able to make anything you want into a game, or movie, or TV episode. And, it can be any length you want; play it as it was intended, or you can change it in any direction you want. with movies and TV i also can see people trying to play interactively as a character in the story. media in 2030s.

The founder and CEO of Midjourney, David Holz, has some truly inspiring views around how AI image generation will transform the gaming industry. During the short time we spoke this week, I had to hold myself back from falling too deep into the AI rabbit hole. In the process, I discovered Holz’s view on how this kind of tech will develop and how it’s likely to benefit the gaming industry, as well as human creativity as a whole.

Holz believes that one day in the near future, “you’ll be able to buy a console with a giant AI chip and all the games will be dreams.”

The word ‘universe’ once described everything that exists. But as our horizons have expanded, many scientists have begun to consider what’s beyond our own cosmos, and…

From health concerns to funding, there’s no shortage of obstacles preventing humans from traveling beyond our solar system. But the main obstacle is propulsion: Our spacecraft…

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Seismic data reveal a candidate impact crater offshore West Africa that formed close in time to the K-Pg extinction event.

The U.S. government is planning to review the environmental effects of operations at one of the nation’s prominent nuclear weapons laboratories, but its notice issued Friday leaves out federal goals to ramp up production of plutonium cores used in the nation’s nuclear arsenal.

The National Nuclear Security Administration said the review—being done to comply with the National Environmental Policy Act—will look at the potential environmental effects of alternatives for operations at Los Alamos National Laboratory for the next 15 years.

That work includes preventing the spread and use of nuclear weapons worldwide and other projects related to national security and global stability, the notice said.

Big scientific breakthroughs often require inventions at the smallest scale. Advances in tissue engineering that can replace hearts and lungs will require the fabrication of artificial tissues that allow for the flow of blood through passages that are no thicker than a strand of hair. Similarly, miniature softbotic (soft-robot) devices that physically interact with humans safely and comfortably will demand the manufacture of components with complex networks of small liquid and airflow channels.

Advances in 3D printing are making it possible to produce such tiny structures. But for those applications that require very small, smooth, internal channels in specific complex geometries, challenges remain. 3D printing of these geometries using traditional processes requires the use of support structures that are difficult to remove after printing. Printing these models using layer-based methods at a high resolution takes a long time and compromises geometric accuracy.

Researchers at Carnegie Mellon University have developed a high-speed, reproducible fabrication method that turns the 3D printing process “inside out.” They developed an approach to 3D print ice structures that can be used to create sacrificial templates that later form the conduits and other open features inside fabricated parts.

Wearable sensors are ubiquitous thanks to wireless technology that enables a person’s glucose concentrations, blood pressure, heart rate, and activity levels to be transmitted seamlessly from sensor to smartphone for further analysis.

Most wireless sensors today communicate via embedded Bluetooth chips that are themselves powered by small batteries. But these conventional chips and power sources will likely be too bulky for next-generation sensors, which are taking on smaller, thinner, more flexible forms.

Now MIT engineers have devised a new kind of wearable sensor that communicates wirelessly without requiring onboard chips or batteries. Their design, detailed in the journal Science, opens a path toward chip-free wireless sensors.

NeuRRAM, a new chip that runs computations directly in memory and can run a wide variety of AI applications has been designed and built by an international team of researchers. What sets it apart is that it does this all at a fraction of the energy consumed by computing platforms for general-purpose AI computing.

The NeuRRAM neuromorphic chip brings AI a step closer to running on a broad range of edge devices, disconnected from the cloud. This means they can perform sophisticated cognitive tasks anywhere and anytime without relying on a network connection to a centralized server. Applications for this device abound in every corner of the globe and every facet of our lives. They range from smartwatches to VR headsets, smart earbuds, smart sensors in factories, and rovers for space exploration.

Not only is the NeuRRAM chip twice as energy efficient as the state-of-the-art “compute-in-memory” chips, an innovative class of hybrid chips that runs computations in memory, it also delivers results that are just as accurate as conventional digital chips. Conventional AI platforms are much bulkier and typically are constrained to using large data servers operating in the cloud.