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Another day, another step closer to the normalization of build-your-own AI chatbot partners.

Per Decrypt, top-shelf Silicon Valley VC firm Andreessen Horowitz last week took to the developer site GitHub to lay out detailed instructions on how to build an AI companion bot from scratch. The VC outfit has a lot of money in various AI ventures, the billion-dollar AI companion startup Character. AI included; now, it seems that the folks at the firm are so enthusiastic about companion bots that they’re encouraging curious developers out there to start DIYing versions for themselves — and among several other potential use cases, it feels notable that romantic partnership was listed as use case number one.

“There are many possible use cases for these companions — romantic (AI girlfriends / boyfriends), friendship, entertainment, coaching, etc,” reads the description, noting elsewhere that the “project is purely intended to be a developer tutorial and starter stack for those curious on how chatbots are built.”

Transforming cars that go from tearing up the tarmac to soaring through the skies at the touch of a button. It sounds like science fiction, but that might be the future we’re looking at, as America’s regulatory body for commercial flight and transportation, the Federal Aviation Administration, certified to test a bona fide flying car.

The vehicle — which has a flying range of around 177km on a full charge — is the brainchild of Alef Automotive, a Californian startup backed by high-profile venture capitalist Tim Draper (whose other seed investments include Tesla and SpaceX).

It’s not yet clear how much the property owner will be billed over the sign.

X and Musk did not immediately respond to requests for comment by Insider on Tuesday, nor did the reps for the landlord of the company’s headquarters, SRI Nine Market Square LLC, an affiliate of real estate investment firm Shorenstein.

Musk, the billionaire owner of the social media company now rebranded as X, had the huge “X” logo put on the roof of the company’s headquarters on Friday, prompting a slew of complaints from angry neighbors.

If there’s one thing the Covid pandemic taught us, it’s that viruses shouldn’t be underestimated.

People are, therefore, taking note after scientists discovered a whole new range of giant virus-like particles (VLP) that have taken on “previously unimaginable shapes and forms.”

The microscopic agents, resembling everything from stars to monsters, were found in just a few handfuls of forest soil.

A model of human cortical development could be used to instruct novel computational learning approaches. Alysson Muotri, Phd, Sujeeth Bharadwaj, PhD, Weiwei Yang, and Gabrial Silva, MSc, PhD, discuss the promise, the problems, and the potential when biology and artificial intelligence meet. Recorded on 10/14/2021. [3/2022] [Show ID: 37556]

00:00 Start.
00:17 Introduction — Alysson Muotri, PhD, UC San Diego.
11:51 An Information Theoretic Approach to Learning — Sujeeth Bharadwaj, PhD, Microsoft.
30:44 An Alternate Approach to Collectively Solving Intelligence: Machine Learning to Artificial Intelligence — Weiwei Yang, Microsoft.
47:54 Organoids May Have Just the Right Amount of Complexity to Make Sense of the Brain — Gabriel Silva, MSc, PhD, UC San Diego.

Please Note: Knowledge about health and medicine is constantly evolving. This information may become out of date.

More from: Stem Cell Channel.

Utilizing ultra-high-precision laser spectroscopy on a simple molecule, a team of physicists headed by Professor Stephan Schiller Ph.D. of Heinrich Heine University Düsseldorf (HHU) measured the wave-like vibration of atomic nuclei with an unprecedented level of precision.

In their paper published in the scientific journal Nature Physics.

As the name implies, Nature Physics is a peer-reviewed, scientific journal covering physics and is published by Nature Research. It was first published in October 2005 and its monthly coverage includes articles, letters, reviews, research highlights, news and views, commentaries, book reviews, and correspondence.

When a fragrance wafted through the bedrooms of older adults for two hours every night for six months, memories skyrocketed. Participants in this study by University of California, Irvine neuroscientists reaped a 226% increase in cognitive capacity compared to the control group. The researchers say the finding transforms the long-known tie between smell and memory into an easy, non-invasive technique for strengthening memory and potentially deterring dementia.

The team’s study appears in Frontiers in Neuroscience. (Link to the open access study: https://www.frontiersin.org/articles/10.3389/fnins.2023.1200448/full).

The project was conducted through the UCI Center for the Neurobiology of Learning & Memory. It involved men and women aged 60 to 85 without memory impairment. All were given a diffuser and seven cartridges, each containing a single and different natural oil. People in the enriched group received full-strength cartridges. Control group participants were given the oils in tiny amounts. Participants put a different cartridge into their diffuser each evening prior to going to bed, and it activated for two hours as they slept.

Biofilms are highly resistant communities of bacteria that pose a major challenge in the treatment of infections. While studying biofilm formation in laboratory conditions has been extensively conducted, understanding their development in the complex environment of the human respiratory tract has remained elusive.

A team of researchers led by Alexandre Persat at EPFL have now cracked the problem by successfully developing organoids called AirGels. Organoids are miniature, self-organized 3D tissues grown from to mimic actual body tissues and organs in the human body. They represent a paradigm shift in the field, enabling scientists to replicate and study the intricate environments of organs in the laboratory.

Developed by Tamara Rossy and her colleagues, the AirGels are bioengineered models of human lung tissue that open up new possibilities in . They revolutionize research by accurately emulating the physiological properties of the airway mucosa, including mucus secretion and ciliary beating. This technology allows scientists to study airway infections in a more realistic and comprehensive manner, bridging the gap between in vitro studies and clinical observations.