Lifeboat Foundation: Safeguarding Humanity
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Researchers at the University of Houston are working to make T-cell immunotherapy safer, developing a tool called CrossDome, which uses a combination of genetic and biochemical information to predict if T-cell immunotherapies might mistakenly attack healthy cells.

T-cell based immunotherapies hold tremendous potential in the fight against cancer and , thanks to their capacity to specifically target diseased cells, including cancer metastasis. Nevertheless, this potential has been tempered with safety concerns regarding the possible recognition of unknown off targets displayed by .

In one case, scientists created special T-cells that were supposed to target a protein found in a type of skin cancer called melanoma. However, these T-cells also ended up attacking a different protein found in the heart cells of some patients. This caused severe damage to the heart.

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NEW YORK, June 13 (Reuters) — Meta Platforms (META.O) said on Tuesday that it would provide researchers with access to components of a new “human-like” artificial intelligence model that it said can analyze and complete unfinished images more accurately than existing models.

The model, I-JEPA, uses background knowledge about the world to fill in missing pieces of images, rather than looking only at nearby pixels like other generative AI models, the company said.

That approach incorporates the kind of human-like reasoning advocated by Meta’s top AI scientist Yann LeCun and helps the technology to avoid errors that are common to AI-generated images, like hands with extra fingers, it said.

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Starting today, users in the US can see how women’s tops from H&M, Anthropologie, Everlane, and Loft will look on a wide range of real human models. New filters aim to make finding clothes easier.

Google is introducing two new features for its online shopping experience that are designed to help users search for clothes in more detail and better visualize how clothing will look on different body types.

Starting today, Google Shopping users in the US can access a virtual try-on experience that realistically displays how an item of clothing will look on a selection of real human models. These models are available with various skin tones, ethnicities, hair types, and body shapes, ranging in size… More.

Users can now view how clothing looks on a range of diverse models.

Continue reading “Google Shopping introduces new AI modeling feature” | >

OpenAI CEO Sam Altman over the weekend called for enhanced collaboration between the U.S. and China on artificial intelligence development. Without mentioning the fact that his company’s products like ChatGPT are not available in China, he argued that China should be a major player in ensuring the safety of global AI development and rollout.

“With the emergence of the increasingly powerful AI systems, the stakes for global cooperation have never been higher,” he said in the keynote address for a conference hosted by the Beijing Academy of Artificial Intelligence, sounding more like someone leading an advocacy group on responsible tech than what he is: the CEO of a company responsible for shepherding that emergence.

Altman’s call for U.S.-China collaboration on “mitigating risk” is only the latest (and, given the state of U.S.-China technological competition, possibly the most hazardous) incident in his quest to convince the world to regulate his industry. Unlike other tech leaders, he has been eager to meet with policymakers around the world, not just in the United States but also in South America, Africa, Europe and Asia, in an effort to encourage and influence the development of AI regulations. Presumably, he is advocating for rules that would benefit OpenAI’s business interests.

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A team of researchers in the United States and United Kingdom say they have created the world’s first synthetic human embryo-like structures from stem cells, bypassing the need for eggs and sperm.

These embryo-like structures are at the very earliest stages of human development: They don’t have a beating heart or a brain, for example. But scientists say they could one day help advance the understanding of genetic diseases or the causes of miscarriages.

The research raises critical legal and ethical questions, and many countries, including the US, don’t have laws governing the creation or treatment of synthetic embryos.

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“Even though recent months have seen AI labs locked in an out-of-control race to develop and deploy ever more powerful digital minds that no one—not even their creators—can understand, predict, or reliably control,” stated the letter.

The idea is that AI development should be “planned for and managed with commensurate care and resources.” However, the authors of the letter say that this level of planning is not happening. This leads to AI systems that are out of control.

Transparently communicating the limitations of the model and providing clear disclaimers when interacting with users can foster trust and accountability.

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Qualcomm Technologies, Inc. unveiled the Qualcomm Video Collaboration Platform, a new suite of video collaboration solutions that allows original equipment manufacturers (OEMs) to easily design and deploy video conferencing products featuring superior video, audio and customizable on-device AI to power engaging, immersive virtual meeting experiences across enterprise, healthcare, educational, and home environments. The Qualcomm® Video Collaboration Platform is a one-stop solution that provides essential hardware and software features specifically tailored for video conferencing so that customers can quickly design and deploy a wide variety of video conferencing products, from enterprise video collaboration systems and huddle room systems to digital whiteboards, to touch controllers and personal devices for the home.

With support for Android and Linux, the three AI-rich platforms offer greater flexibility and ability to customize and deploy video conferencing products across diverse environments. Qualcomm Technologies’ industry-leading innovations in connectivity, compute, AI, audio, and video work together to deliver features that eliminate distractions, enhance productivity, and allow remote meeting callers to feel more connected to conference room participants by providing individual views of everybody in the room, creating an equal viewing experience for all participants.

With the rapid advances in generative AI, future meeting experiences will offer even more advanced video, speech, and text capabilities. Collaboration devices with dedicated hardware support for on-chip AI acceleration will be able to optimize these experiences by splitting workloads between the cloud and edge-based device.

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