As the use and development of artificial intelligence continues to grow, the University of Pennsylvania wants to train students to become leaders in the space.
This isn’t rocket science it’s neuroscience.
Ever since the dawn of antiquity, people have strived to improve their cognitive abilities. From the advent of the wheel to the development of artificial intelligence, technology has had a profound leverage on civilization. Cognitive enhancement or augmentation of brain functions has become a trending topic both in academic and public debates in improving physical and mental abilities. The last years have seen a plethora of suggestions for boosting cognitive functions and biochemical, physical, and behavioral strategies are being explored in the field of cognitive enhancement. Despite expansion of behavioral and biochemical approaches, various physical strategies are known to boost mental abilities in diseased and healthy individuals. Clinical applications of neuroscience technologies offer alternatives to pharmaceutical approaches and devices for diseases that have been fatal, so far. Importantly, the distinctive aspect of these technologies, which shapes their existing and anticipated participation in brain augmentations, is used to compare and contrast them. As a preview of the next two decades of progress in brain augmentation, this article presents a plausible estimation of the many neuroscience technologies, their virtues, demerits, and applications. The review also focuses on the ethical implications and challenges linked to modern neuroscientific technology. There are times when it looks as if ethics discussions are more concerned with the hypothetical than with the factual. We conclude by providing recommendations for potential future studies and development areas, taking into account future advancements in neuroscience innovation for brain enhancement, analyzing historical patterns, considering neuroethics and looking at other related forecasts.
Keywords: brain 2025, brain machine interface, deep brain stimulation, ethics, non-invasive and invasive brain stimulation.
In addition to movies and themeparks, Disney is now also operating in robotics space but taking a different approach from the rest.
Disney is challenging our very notion of what constitutes a robot and if they need to work alone at all times to be effective.
Continue reading “How many robots can you see in this image? Disney sees two” »
Google’s philanthropy arm is setting aside millions of dollars for European nonprofits to train workers how to use AI. But it’s unclear whether AI training will help save jobs.
Tissue contamination distracts AI models from making accurate real-world diagnoses. Human pathologists are extensively trained to detect when tissue samples from one patient mistakenly end up on another patient’s microscope slides (a problem known as tissue contamination). But such contamination can easily confuse artificial intelligence (AI) models, which are often trained in pristine, simulated environments, reports a new Northwestern Medicine study.
“We train AIs to tell ‘A’ versus ‘B’ in a very clean, artificial environment, but, in real life, the AI will see a variety of materials that it hasn’t trained on. When it does, mistakes can happen,” said corresponding author Dr. Jeffery Goldstein, director of perinatal pathology and an assistant professor of perinatal pathology and autopsy at Northwestern University Feinberg School of Medicine.
“Our findings serve as a reminder that AI that works incredibly well in the lab may fall on its face in the real world. Patients should continue to expect that a human expert is the final decider on diagnoses made on biopsies and other tissue samples. Pathologists fear — and AI companies hope — that the computers are coming for our jobs. Not yet.”
We are witnessing a professional revolution where the boundaries between man and machine slowly fade away, giving rise to innovative collaboration.
Photo by Mateusz Kitka (Pexels)
As Artificial Intelligence (AI) continues to advance by leaps and bounds, it’s impossible to overlook the profound transformations that this technological revolution is imprinting on the professions of the future. A paradigm shift is underway, redefining not only the nature of work but also how we conceptualize collaboration between humans and machines.
As creator of the ETER9 Project (2), I perceive AI not only as a disruptive force but also as a powerful tool to shape a more efficient, innovative, and inclusive future. As we move forward in this new world, it’s crucial for each of us to contribute to building a professional environment that celebrates the interplay between humanity and technology, where the potential of AI is realized for the benefit of all.
In the ETER9 Project, dedicated to exploring the interaction between artificial intelligences and humans, I have gained unique insights into the transformative potential of AI. Reflecting on the future of professions, it’s evident that adaptability and a profound understanding of technological dynamics will be crucial to navigate this new landscape.
“It’s the single largest capital investment that has ever been made in the state of Mississippi – by a lot.”
On Thursday, 25th January, Amazon Web Services (AWS) announced plans for a monumental $10 billion investment in Mississippi— the single largest capital investment in the state’s history.
Amazon Web Services invests $10 billion in Mississippi, building two data centers, creating jobs, and fostering community development and sustainability.
Continue reading “AWS to create two new data centers in Mississippi with $10 billion investment” »
In a 1938 article, MIT’s president argued that technical progress didn’t mean fewer jobs. He’s still right.
This can free humans from taking on those tedious — and potentially dangerous — jobs, but it also means manufacturers need to build or buy a new robot every time they find a new task they want to automate.
General purpose robots — ones that can do many tasks — would be far more useful, but developing a bot with anywhere near the versatility of a human worker has thus far proven out of reach.
Continue reading “See the humanoid robots that will build new BMWs” »
A team of MIT researchers has found that in many instances, replacing human workers with AI is still more expensive than sticking with the people, a conclusion that flies in the face of current fears over the technology taking our jobs.
As detailed in a new paper, the team examined the cost-effectiveness of 1,000 “visual inspection” tasks across 800 occupations, such as inspecting food to see whether it’s gone bad. They discovered that just 23 percent of workers’ total wages “would be attractive to automate,” mainly because of the “large upfront costs of AI systems” — and that’s if the automatable tasks could even “be separated from other parts” of the jobs.
That said, they admit, those economics may well change over time.
