How many human workers do you see? đ€
âThe meaningful difference,â argues Silverstein, âcomes down to our lifespan. For humans, our mortality defines so much of our experience. If a human commits murder and receives a life sentence, we understand what that means: a finite number of years. But if a UI with an indefinite lifespan commits murder, what do life sentences mean? Are we talking about a regular human lifespan? 300 years? A thousand? Then thereâs love and relationships. Letâs say you find your soulmate and spend a thousand years together. At some point, you may decide you had a good run and move on with someone else. The idea of not growing old with someone feels alien and upsetting. But if we were to live hundreds or thousands of years, our perceptions of relationships and identity may change fundamentally.â
âOne of the bestâ because â in addition to having a well-crafted, suspenseful, and heartfelt narrative about love and loss â thoughtfully engages with both the technical and philosophical questions raised by its cerebral premise: Is a perfect digital copy of a personâs mind still meaningfully human? Does uploaded intelligence, which combines the processing power of a supercomputer with the emotional intelligence of a sentient being, have a competitive edge over cold, unfeeling artificial intelligence? How would uploaded intelligence compromise ethics or geopolitical strategy?
âUnderratedâ because was produced by â and first aired on â AMC+, a streaming service that, owing to the dominance of Netflix, HBO Max, Disney+, and Amazon Prime, has but a fraction of its competitorsâ subscribers and which, motivated by losses in ad revenue, ended up canceling the showâs highly anticipated (and fully completed) second season in exchange for tax write-offs. Although has since been salvaged by Netflix, [âŠ] its troubled distribution history resulted in the show becoming a bit of a hidden gem, rather than the global hit it could have been, had it premiered on a platform with more eyeballs.
Still, the fact that managed to endure and build a steadily growing cult following is a testament to the showâs quality and cultural relevance. Although the concept of uploaded intelligence is nothing new, and has been tackled by other prominent sci-fi properties like Black Mirror and Altered Carbon, is unique in that it not only explores how this hypothetical technology would affect us on a personal level, but also explores how it might play out on a societal level. Furthermore, take is a nuanced one, rejecting both techno-pessimism and techno-optimism in favor of what series creator Craig Silverstein calls âtechno-realism.â
View a PDF of the paper titled Beyond Accuracy: What Matters in Designing Well-Behaved Models?, by Robin Hesse and 4 other authors
Posted in robotics/AI | Leave a Comment on View a PDF of the paper titled Beyond Accuracy: What Matters in Designing Well-Behaved Models?, by Robin Hesse and 4 other authors
Deep learning has become an essential part of computer vision, with deep neural networks (DNNs) excelling in predictive performance. However, they often fall short in other critical quality dimensions, such as robustness, calibration, or fairness. While existing studies have focused on a subset of these quality dimensions, none have explored a more general form of âwell-behavednessâ of DNNs. With this work, we address this gap by simultaneously studying nine different quality dimensions for image classification. Through a large-scale study, we provide a birdâs-eye view by analyzing 326 backbone models and how different training paradigms and model architectures affect the quality dimensions. We reveal various new insights such that (i) vision-language models exhibit high fairness on ImageNet-1k classification and strong robustness against domain changes; (ii) self-supervised learning is an effective training paradigm to improve almost all considered quality dimensions; and (iii) the training dataset size is a major driver for most of the quality dimensions. We conclude our study by introducing the QUBA score (Quality Understanding Beyond Accuracy), a novel metric that ranks models across multiple dimensions of quality, enabling tailored recommendations based on specific user needs.
There has been speculation for many years that the human brain lives âon the edge of chaosâ, at a critical transition point between randomness and order; but direct experimental evidence has been lacking.
Leveraging Preexisting Cardiovascular Data to Improve the Detection and Treatment of Hypertension: The NOTIFY-LVH Randomized Clinical Trial
Posted in biotech/medical, health | Leave a Comment on Leveraging Preexisting Cardiovascular Data to Improve the Detection and Treatment of Hypertension: The NOTIFY-LVH Randomized Clinical Trial
From JAMA Cardiol ogy: A centralized, population health coordinator-led notification and clinical support pathway improved the initiation of antihypertensive therapy in patients with left ventricular hypertrophy.
Despite the recognition that poorly controlled hypertension leads to adverse cardiovascular events, there are often barriers in care systems that contribute to substandard recognition and treatment.19 Notably, prior work employing trained nonphysicians focused on closing gaps in cardiovascular disease management has yielded significant improvements in disease-specific metrics using remote, centralized interventions.20-25 Similarly, there is a growing body of evidence demonstrating the effectiveness of clinician-directed support systemsâoften in the form of ânudgesââthat have made meaningful advances in a variety of clinical outcomes.26,27 Whether a methodologic approach combining clinician nudges with the support of trained nonphysicians can be applied to LVH-associated diseasesâincluding hypertensionâis unknown.
Accordingly, the NOTIFY-LVH pragmatic randomized clinical trial28 sought to determine whether potentially underutilized echocardiogram data could be leveraged to improve patient care by augmenting the traditional ambulatory care framework. Specifically, this study tested whether a centralized clinical support pathway targeting clinicians of patients with LVH on their prior echocardiograms would increase the rate of treatment for hypertension and the earlier diagnosis of LVH-associated diseases.
Although lifespan has long been the focus of ageing research, the need to enhance healthspan â the fraction of life spent in good health â is a more pressing societal need. Caloric restriction improves healthspan across eukaryotes but is unrealistic as a societal intervention. Here, we describe the rewiring of a highly conserved nutrient sensing system to prevent senescence onset and declining fitness in budding yeast even when aged on an unrestricted high glucose diet. We show that AMPK activation can prevent the onset of senescence by activating two pathways that remove excess acetyl coenzyme A from the cytoplasm into the mitochondria â the glyoxylate cycle and the carnitine shuttle. However, AMPK represses fatty acid synthesis from acetyl coenzyme A, which is critical for normal cellular function and growth. AMPK activation therefore has positive and negative effects during ageing. Combining AMPK activation with a point mutation in fatty acid synthesis enzyme Acc1 that prevents inhibition by AMPK (the A2A mutant) allows cells to maintain fitness late in life without reducing the mortality associated with advanced age. Our research shows that ageing in yeast is not intrinsically associated with loss of fitness, and that metabolic re-engineering allows high fitness to be preserved to the end of life.
The authors have declared no competing interest.
Improvements to brainâcomputer interfaces are bringing the technology closer to natural conversation speed.
Adeno-associated virus (AAV) is a prominent method for delivering genes in vivo. Therapeutic delivery to target cells is achieved through full capsids containing the gene cargo. However, the presence of empty capsids in the AAV drug product can reduce therapeutic effectiveness, necessitating their detection at various stages of the AAV production process. Traditional methods for assessing the AAV empty/full (E/F) ratio are often slow, labor-intensive, and require significant optimization.
Consider a novel, rapid, and high-throughput approach for determining the AAV E/F ratio using OctetÂź Biolayer Interferometry (BLI) alongside OctetÂź AAVX Biosensors. This cutting-edge technique evaluates intact viral capsids and is perfect for screening both crude and purified samples, offering a quicker and more efficient workflow with results available in as little as 30 minutes.
Discover the advantages of this innovative method and enhance your AAV workflow by downloading the technical note.
Imagine walking into your kitchen and instantly knowing if the fish you bought yesterday is still freshâor entering an industrial site with sensors that immediately alert you to hazardous gas leaks. This isnât science fictionâitâs the promise behind our newly developed nanomechanical sensor array, a powerful tool weâve created to detect and analyze complex gases in real-time.
In our recent study published in Microsystems & Nanoengineering, we introduce a miniaturized array of silicon and polymer-based sensors capable of detecting various gases quickly and accurately.
This array utilizes a simple yet ingenious principle: when gas molecules enter the sensor, they diffuse into specific polymers, causing them to swell slightly. This swelling generates mechanical stress detected by tiny piezoresistive sensors embedded in silicon. Itâs like watching a sponge expand as it absorbs waterâbut at a microscopic scale, with the expansion measured electrically to detect and identify gases.