Lifeboat Foundation

To help reduce this problem, Evitria says they’ve licensed Lonza’s bYlok^® technology to improve light chain pairing. The starting point involves antibodies with a “knob” or a “hole” in the heavy chains, so-called “knobs-into-holes” technology, to help improve correct bonding between parts of the bispecific, Schmidt explained.

“What you have are two variations, bYlok and non-loked, and another two combinations where one chain has a hole formation and the other a knob formation and vice versa,” he says. “And you can express these four combinations to see the impact of the expression level, the yields, heterodimer formation, and purity.”

By doing this early screening, he adds, it’s possible for customers to speed up their process development and move to commercial bsAb manufacturing.

A spatially resolved single-cell transcriptomics map of the mouse brain at different ages reveals signatures of ageing, rejuvenation and disease, including ageing effects associated with T cells and rejuvenation associated with neural stem cells.

The orbital angular momentum states of light have been used to relate quantum uncertainty to wave–particle duality. The experiment was done by physicists in Europe and confirms a 2014 theoretical prediction that a minimum level of uncertainty must always result when a measurement is made on a quantum object – regardless of whether the object is observed as a wave, as a particle, or anywhere in between.

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In the famous double-slit thought experiment, quantum particles such as electrons are fired on-by-one at two adjacent slits in a barrier. As time progresses, an interference pattern will build up on a detector behind the barrier. This is an example of wave–particle duality in quantum mechanics, whereby each particle travels through both slits as a wave that interferes with itself. However, if the trajectories of the particles are observed such that it is known which slit each particle travelled through, no interference pattern is seen. Since the 1970s, several different versions of the experiment have been done in the laboratory – confirming the quantum nature of reality.

“The challenge is applying agentic AI in the enterprise setting or in innovation-driven industries, like materials science R&D or pharma, where there is higher uncertainty and risk,” said Connell. “These more complex environments require a very nuanced understanding by the agent in order to make trustworthy, reliable decisions.”

Also: What is Google’s Project Mariner? This AI agent can navigate the web for you.

As with analytical and gen AI, data — particularly real-time data — is at the core of agentic AI success. It’s important “to have an understanding of how agentic AI will be used and the data that is powering the agent, as well as a system for testing,” said Connell. “To build AI agents, you need clean and, for some applications, labeled data that accurately represents the problem domain, along with sufficient volume to train and validate your models.”

Scientists at Neuro-Electronics Research Flanders (NERF), under the direction of Prof. Vincent Bonin, have released two innovative studies that provide fresh perspectives on the processing and distribution of visual information in the brain. These studies contest conventional beliefs regarding the straightforwardness of visual processing, instead emphasizing the intricate and adaptable nature of how the brain understands sensory information.

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Thanks to their genetic makeup, their ability to navigate mazes and their willingness to work for cheese, mice have long been a go-to model for behavioral and neurological studies.

In recent years, they have entered a new arena—virtual reality—and now Cornell researchers have built miniature VR headsets to immerse them more deeply in it.

The team’s MouseGoggles—yes, they look as cute as they sound—were created using low-cost, off-the-shelf components, such as smartwatch displays and tiny lenses, and offer visual stimulation over a wide field of view while tracking the mouse’s eye movements and changes in pupil size.

Johns Hopkins computer scientists have created an artificial intelligence system capable of “imagining” its surroundings without having to physically explore them, bringing AI closer to humanlike reasoning.

The new system—called Generative World Explorer, or GenEx—needs only a single still image to conjure an entire world, giving it a significant advantage over previous systems that required a robot or agent to physically move through a scene to map the surrounding environment, which can be costly, unsafe, and time-consuming. The team’s results are posted to the arXiv preprint server.

Continue reading “AI system can envision an entire world from a single picture” »

*Project AMIE: progress towards specialist-level medical expertise*.

We present two new advancements for Project AMIE: progress towards specialist-level medical expertise and a new partnership with Beth Israel Deaconess Medical Center for safe, prospective real-world validation.

Quantum trickery is improving the resolution of X-ray images while reducing the radiation dose, say scientists.