Lifeboat Foundation

A new method learns prompts from an image, which then can be used to reproduce similar concepts in Stable Diffusion.

Whether DALL-E 2, Midjourney or Stable Diffusion: All current generative image models are controlled by text input, so-called prompts. Since the outcome of generative AI models depends heavily on the formulation of these prompts, “prompt engineering” has become a discipline in its own right in the AI community. The goal of prompt engineering is to find prompts that produce repeatable results, that can be mixed with other prompts, and that ideally work for other models as well.

In addition to such text prompts, the AI models can also be controlled by so-called “soft prompts”. These are text embeddings automatically derived from the network, i.e. numerical values that do not directly correspond to human terms. Because soft prompts are derived directly from the network, they produce very precise results for certain synthesis tasks, but cannot be applied to other models.

Significantly reduces its advanced chip order with TSMC. The 3nm chip will be very expensive.

Devices now being tested in the sky could gather ultra-precise data.

A new technique to measure starspots could help test stellar magnetism theories and improve our understanding of habitable zones.

Can an early introduction to basic astronomy knowledge help solve the root cause of ignorance and human suffering?

One of the most awaited events in modern astronomy may be upon us shortly, according to experts.

Our immune systems are at war with cancer. This animation reveals how monoclonal antibodies can act as valuable reinforcements to shore up our defences – and help battle cancer.

You can find more on this topic at http://www.nature.com/milestones/antibodies.

Continue reading “Immunology wars: Monoclonal antibodies” »

😗 year 2017.

Psychiatrists and other behavioral health professionals need to better understand the relationship between cannabis and mental disorders so that they can respond to increasing medical and recreational marijuana use among their patients. More than half of states now allow for medical use, and 8 states and the District of Columbia have legalized adult personal or recreational use.

Knowledge about herbal cannabis, the endocannabinoid system, and cannabinoid pharmacology is rapidly expanding. However, compared with the literature on non-medical cannabis use, the scientific literature on therapeutic use of cannabis is underdeveloped, as noted in a recent systematic review of medical cannabis and mental health.¹ Although herbal cannabis has a long history of medicinal use, its federal prohibition under the Controlled Substances Act of 1970 with Drug Enforcement Administration Schedule I status has focused the federally supported cannabis research agenda for half a century on the potential harms rather than on the historically acknowledged therapeutic benefits of this complex plant.

Continue reading “Medical Marijuana and Mental Health: Cannabis Use in Psychiatric Practice” »

Since its launch in November by San Francisco-based OpenAI, ChatGPT has taken the world by storm. The conversational chatbot can code, write essays, and even function as a search engine, among other tasks.

But this isn’t some futuristic vision of what ChatGPT will do. The business world has already bought in when it comes to AI in general, and ChatGPT in particular.

“It can create anything that we thought thus far was unique to human intelligence or creativity, whether that is interacting with us in a chatbot form, whether that is generating new content, whether it’s images, video,” Nina Schick, adviser, speaker, and A.I. thought leader, recently told Yahoo Finance.