Lifeboat Foundation

In the years ahead, technology will continue to evolve, and it will become harder to identify deepfakes. Indeed, as people and businesses take to the metaverse and the Web3, it’s likely that avatars will be used to access and consume a broad range of services. Unless adequate protections are put in place, these digitally native avatars will likely prove easier to fake than human beings.

However, just as technology will advance to exploit this, it will also advance to detect it. For their part, security teams should look to stay up to date on new advances in detection and other innovative technologies to help combat this threat. The direction of travel for deepfakes is clear, businesses should start preparing now.

David Fairman is the chief information officer and chief security officer of APAC at Netskope.

Scientists have developed an ‘atomic television’ that uses lasers and atom clouds to carry a video signal that meets the traditional 480i resolution (480 horizontal lines) standard.

Just don’t expect it to be installed as part of your home entertainment setup any time soon.

Continue reading “Using Jumbo-Sized Atoms And Tiny Lasers, Researchers Have Created ‘Atomic Television’” »

Getting atoms to do what you want isn’t easy – but it’s at the heart of a lot of groundbreaking research in physics.

Creating and controlling the behavior of new forms of matter is of particular interest and an active area of research.

Our new study, published in Physical Review Letters, has uncovered a brand new way of sculpting ultracold atoms into different shapes using laser light.

With NASA’s Artemis 1 mission launching to the moon this month, Space.com is taking a look at what we know about the moon and why we care. Join us for our Moon Week special report in the countdown to Artemis 1.

Lunar exploration is often described, even in the moment, with the lofty language of history books and the achievements of humanity. And with good reason — each new mission to the moon presents the possibility of ground-breaking discovery and historic firsts. But without care, lunar missions could also endanger the historic sites of prior human exploration.

Israel is experimenting with desalinating sea water to replenish a freshwater lake. If it works, it could offer a solution to many other countries where lakes are drying up.

A new molecule created by a researcher at the University of Texas at Dallas kills a variety of difficult-to-treat cancers, including triple-negative breast cancer, by taking advantage of a weakness in cells that was not previously targeted by existing drugs.

The research, which was conducted using isolated cells, human cancer tissue, and mouse-grown human cancers, was recently published in Nature Cancer.

A co-corresponding author of the study and an associate professor of chemistry and biochemistry in the School of Natural Sciences and Mathematics at the University of Texas at Dallas, Dr. Jung-Mo Ahn has dedicated more than ten years of his career to developing small molecules that target protein-protein interactions in cells. He previously created potential therapeutic candidate compounds for treatment-resistant prostate cancer and breast cancer using a method called structure-based rational drug design.

New green-light absorbing photodetectors could be useful for medical sensors, fingerprint recognition, and more.

New green-light absorbing transparent organic photodetectors that are highly sensitive and compatible with CMOS fabrication methods have been developed and demonstrated by researchers. Incorporating these new photodetectors into organic-silicon hybrid image sensors could be useful for many applications. These include light-based heart-rate monitoring, fingerprint recognition, and devices that detect the presence of nearby objects.

Whether used in scientific cameras or smartphones, most of today’s imaging sensors are based on CMOS technology and inorganic photodetectors that convert light signals into electric signals. Although photodetectors made from organic materials are attracting attention because they can help boost sensitivity, for example, it has thus far proven difficult to fabricate high-performance organic photodetectors.

Though we are often friends with people similar to ourselves, it is unclear if neural responses to perceptual stimuli are also similar. Here, authors show that the similarity of neural responses evoked by a range of videos was highest for close friends and decreased with increasing social distance.

Using electrocorticography (ECoG), we probed the neurocognitive substrates of mentalizing at the level of neuronal populations. We found that mentalizing about the self and others recruited near-identical cortical sites (Fig. 5a, b) in a common spatiotemporal sequence (Figs. 5 c and 6). Within our ROIs, activations began in visual cortex, followed by temporoparietal DMN regions (TPJ, ATL, and PMC), and lastly in mPFC regions (amPFC, dmPFC, and vmPFC; Fig. 3e, f). Critically, regions with later activations exhibited greater functional specialization for mentalizing as measured by three metrics: functional specificity for mentalizing versus arithmetic (Figs. 3 c, d and 4b), self/other differentiation in activation timing (Fig. 5c, d), and temporal associations with behavioral responses (Fig. 4D and Table 1). Taken together, these results reveal a common neurocognitive sequence^28,29,30,31 for self-and other-mentalizing, beginning in visual cortex (low specialization), ascending through temporoparietal DMN areas (intermediate specialization), then reaching its apex in mPFC regions (high specialization).

Our results are consistent with gradient-based models of brain function, which posit that concrete sensorimotor processing in unimodal regions (e.g., visual cortex) gradually yields to increasingly abstract and inferential processing in ‘high-level’ transmodal regions like mPFC^41,42. We found that the strength of self/other differences in activation timing increased along a gradient from visual cortex to mPFC. Specifically, other-mentalizing evoked slower (Fig. 5c) and lengthier (Fig. 5d) activations than self-mentalizing throughout successive DMN ROIs. These self/other functional differences corresponded with self/other differences in RT_Behav (Supplementary Fig. 4), although the two were often dissociable (Table 1). Thus, perhaps because we know ourselves better than others, other-mentalizing may require lengthier processing at more abstract and inferential levels of representation, ultimately resulting in slower behavioral responses.

What might our results imply about extant fMRI findings? Hundreds of fMRI studies consistently suggest that: TPJ and dmPFC are most crucial for mentalizing^{6,8,11,12,43,44,45,46}, and dmPFC is selective for thinking about others over oneself ^32,33,34,35. However, when examined with ECoG, we found that both pieces of received wisdom are not what they seem. Below, we discuss both issues before moving onto our peculiar vmPFC results, and then conclude with systems-level discussion.