Lifeboat Foundation

Wavelength-selective thermal emitters (WS-TEs) have been frequently designed to achieve desired target emissivity spectra, as in typical emissivity engineering, for broad applications such as thermal camouflage, radiative cooling, and gas sensing, etc.

However, previous designs required prior knowledge of materials or structures for different applications, and the designed WS-TEs usually vary from application to application in terms of materials and structures, thus there is no general design framework for emissivity engineering across different applications. Moreover, previous designs fail to tackle the simultaneous design of both materials and structures, as they either fix materials to design structures or fix structures to select suitable materials.

In a new paper published in Light: Science & Applications, a team of scientists, led by Professor Run Hu from School of Energy and Power Engineering, Huazhong University of Science and Technology, China, and coworkers have proposed a general deep learning framework based on the deep Q-learning network algorithm (DQN) for efficient optimal design of WS-TEs across different applications.

A fledgling startup founded by one of OpenAI’s first engineering hires is looking to “redefine manufacturing,” with AI-powered factories for creating bespoke precision parts.

Daedalus, as the company is called, is based in the southwestern German city of Karlsruhe, where its solo factory is currently housed. Here, Daedalus takes orders from industries such as medical devices, aerospace, defense, and semiconductors, each requiring unique components for their products. For example, a pharmaceutical company might require a customized metal casing for a valve used in the production of a particular medicine.

As it looks to ramp up operations with a view toward opening additional factories in its domestic market, Daedalus today announced it has raised $21 million in a Series A round of funding led by Nokia-funded NGP Capital, with participation from existing investors Khosla Ventures and Addition.

A new batch of startups are using tech and data to help supermarkets reduce waste of fresh produce, to the benefit of business and planet.

There’s a real life bionic woman, and a mindblowing technological advancement has made her life a lot better.

Artificial intelligence (AI) is evolving at break-neck speed and was one of the key themes at one of the world’s biggest tech events this year, CES.

From flying cars to brain implants that enable tetraplegics to walk, the show revealed some of the most recent AI-powered inventions destined to revolutionize our lives. It also featured discussions and presentations around how AI can help address many of the world’s challenges, as well as concerns around ethics, privacy, trust and risk.

Given how widespread AI is and the rate at which it is evolving, global harmonization of terminologies, best practice and understanding is important to enable the technology to be deployed safely and responsibly. IEC and ISO International Standards fulfil that role and are thus important tools to enable AI technologies to truly benefit society. They can not only provide a common language for the industry, they also enable interoperability and provide international best practice, while addressing any risks and societal issues.

Instead of going through the tedious process of actually interacting with women, Moscow resident Aleksandr Zhadan programmed OpenAI’s GPT large language models to talk to well over 5,000 women on his behalf.

Zhadan went as far as to have it schedule IRL dates with matches and filter out profiles that showed women posing with alcohol, as Gizmodo reports.

Lo and behold, his efforts appear to have paid off: Zhadan found his wife, Karina Vyalshakaeva, in apparent proof that his bizarre and extremely 2024 method of finding love in the age of AI can actually work — if the happy couple isn’t making the whole thing up for clout, that is.

Apple researchers have released a new open-source AI model that is capable of editing images based on a user’s natural language instructions (via VentureBeat).

CEO Sundar Pichai tells WIRED that Google’s new, more powerful Gemini chatbot is an experiment in offering users a way to get things done without a search engine. It’s also a direct shot at ChatGPT.

The announcement comes as New Hampshire authorities are advancing their investigation into AI-generated robocalls that mimicked President Joe Biden’s voice to discourage people from voting in the state’s first-in-the-nation primary last month.

READ MORE: Authorities target two firms in probe of AI robocalls impersonating Biden before New Hampshire’s primary

Effective immediately, the regulation empowers the FCC to fine companies that use AI voices in their calls or block the service providers that carry them. It also opens the door for call recipients to file lawsuits and gives state attorneys general a new mechanism to crack down on violators, according to the FCC.