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How Connecting our Brains to Computers Can Create a New Kind of Human | Artificial Intelligence | Investigative Documentary from 2019.

The symbiosis of the brain and artificial intelligence will give rise to a new humanity, a kind of “super-humanity”. Brain-machine communication will allow that the cognitive capabilities of the human being will enhance, giving rise to the first augmented humans. Connecting brains will be done, and we’ll have powerful synthetic telepathy technologies. It’ll be possible not only to read other person’s thoughts but also manipulate them. Neurotechnologies are about to cause a radical social shift that will change the concepts of the inner self and the very reality. Neurorights will be key points, as it will be mandatory to regulate the privacy of our conscious or even subconscious thoughts.
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ENDEVR explains the world we live in through high-class documentaries, special investigations, explainers videos and animations. We cover topics related to business, economics, geopolitics, social issues and everything in between that we think are interesting.

Cognitive science sees the brain as a sort of computer, but how does education redesign these cerebral computers? Cognitive scientist, philosopher, and expert on consciousness Daniel Dennett explains.
Watch the Q&A: https://youtu.be/0GJa0xKKSOU
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Buy Daniel Dennet’s most recent book “From Bacteria to Bach and Back: The Evolution of Minds” — https://geni.us/4pTW46

There is widespread agreement among researchers in cognitive science that a human brain is some kind of computer, but not much like the laptop. If we look at perceptual experience, and education in particular, as a process of redesigning our cerebral computers, how does the software get designed, and what are the limits of this design process? Daniel C Dennett finds out.

Daniel C Dennett is a cognitive scientist and philosopher with a particular interest in consciousness, free will and the evolution of minds. His newest book, From bacteria to Bach and back, explores how thinking minds could have evolved due to natural selection.

Fluid intelligence refers to the ability to solve challenging novel problems when prior learning or accumulated experience are of limited use. 1 Fluid intelligence ranks amongst the most important features of cognition, correlates with many cognitive abilities (e.g. memory), 2 and predicts educational and professional success, 3 social mobility, 4 health 5 and longevity. 6 It is thought to be a key mental capacity involved in ‘active thinking’, 7 fluid intelligence declines dramatically in various types of dementia 8 and reflects the degree of executive impairment in older patients with frontal involvement. 9 Despite the importance of fluid intelligence in defining human behaviour, it remains contentious whether this is a single or a cluster of cognitive abilities and the nature of its relationship with the brain. 10

Fluid intelligence is traditionally measured with tests of novel problem-solving with non-verbal material that minimize dependence on prior knowledge. Such tests are known to have strong fluid intelligence correlations in large-scale factor analyses. 11, 12 Raven’s Advanced Progressive Matrices 13 (APM), a test widely adopted in clinical practice and research, 14 contains multiple choice visual analogy problems of increasing difficulty. Each problem presents an incomplete matrix of geometric figures with a multiple choice of options for the missing figure. Less commonly, verbal tests of fluid intelligence such as Part 1 of the Alice Heim 4 (AH4-1) 15 are adopted. The Wechsler Adult Intelligence Scale (WAIS) 16 has also been used to estimate fluid intelligence by averaging performance on a diverse range of subtests. However, several subtests (e.g. vocabulary) emphasize knowledge, disproportionately weighting measures of ‘crystallized’ intelligence, 17, 18 whilst others (e.g. picture completion) have rather low fluid intelligence correlations. 19 Hence, it has been argued that tests such as the APM are the most suitable for a theoretically-based investigation of changes in fluid intelligence after brain injury. 20, 21

Proposals regarding the neural substrates of fluid intelligence have suggested close links with frontal and parietal functions. For example, Duncan and colleagues 22 have argued that a network of mainly frontal and parietal areas, termed the ‘multiple-demand network’ (MD), is ‘the seat’ of fluid intelligence. The highly influential parieto-frontal integration theory (P-FIT), based largely on neuroimaging studies of healthy subjects, posits that structural symbolism and abstraction emerge from sensory inputs to parietal cortex, with hypothesis generation and problem solving arising from interactions with frontal cortex. Once the best solution is identified, the anterior cingulate is engaged in response selection and inhibition of alternatives. 23, 24 Despite its name, P-FIT also posits occipital and temporal involvement, implying widely distributed substrates of fluid intelligence.

NOTE FROM TED: Please do not look to this talk for mental health advice. This talk represents the speaker’s personal views and interpretation of psychedelics and mental health, which remains an emerging field of study. We’ve flagged this talk because it falls outside the content guidelines TED gives TEDx organizers. TEDx events are independently organized by volunteers. The guidelines we give TEDx organizers are described in more detail here: http://storage.ted.com/tedx/manuals/tedx_content_guidelines.pdf.

Psychedelics as medicine to treat mental health disease has had a recent resurgence of attention and dedicated research, with encouraging results. Could this class of drugs serve as a paradigm shift in the way mindfulness therapy and mental health is approached? Compounds like LSD, DMT, psilocybin, and MDMA are investigated as treatments for states of anxiety, depression, PTSD, and addiction. Listeners are challenged to question their preconceived notions and judgements as it pertains to this group of restricted therapeutics in the psychedelic class. Burton J. Tabaac, MD FAHA

Burton is an associate professor of neurology at the University of Nevada, Reno School of Medicine, dedicated to the cutting-edge treatment and prevention of cerebrovascular diseases. He is a graduate of the fellowship program in vascular neurology at Johns Hopkins University Hospital in Baltimore, MD (2019). After graduating from AUC School of Medicine, where he earned his MD (2014), Tabaac completed a neurology residency at Rutgers Robert Wood Johnson in New Brunswick, NJ. There, he was humbled to have been selected as a three-time recipient of The Arnold P. Gold Foundation’s Humanism and Excellence in Teaching Award (2016, 2017, and 2018). This talk was given at a TEDx event using the TED conference format but independently organized by a local community.

How Humanity Could be Transformed through Technology | Technology Documentary.

Watch ‘How Biotechnology Is Changing the World’ here: https://youtu.be/lFcF4DsuC9A

With Augmented Humanity we will travel from the US to Japan, into the heart of secret labs of the most borderline scientists in the world, who try to push the boundaries of life through technology. Robotics is an important step, but the future of our species is not in a massive substitution by robots, on the contrary, robotics and technology must be used to improve the human being.

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A team led by UCL and UCLH researchers have mapped the parts of the brain that support our ability to solve problems without prior experience—otherwise known as fluid intelligence.

Fluid intelligence is arguably the defining feature of human cognition. It predicts educational and professional success, social mobility, health, and longevity. It also correlates with many such as memory.

Fluid intelligence is thought to be a key feature involved in “active thinking”—a set of complex mental processes such as those involved in abstraction, judgment, attention, strategy generation and inhibition. These skills can all be used in everyday activities—from organizing a dinner party to filling out a tax return.

EEG hyperscanning during multiuser gaming offers opportunities to study brain characteristics of social interaction under various paradigms. In this study, we aimed to characterize neural signatures and phase-based functional connectivity patterns of gaming strategies during collaborative and competitive alpha neurofeedback games. Twenty pairs of participants with no close relationship took part in three sessions of collaborative or competitive multiuser neurofeedback (NF), with identical graphical user interface, using Relative Alpha (RA) power as a control signal. Collaborating dyads had to keep their RA within 5% of each other for the team to be awarded a point, while members of competitive dyads scored points if their RA was 10% above their opponent’s. Interbrain synchrony existed only during gaming but not during baseline in either collaborative or competitive gaming. Spectral analysis and interbrain connectivity showed that in collaborative gaming, players with higher resting state alpha content were more active in regulating their RA to match those of their partner. Moreover, interconnectivity was the strongest between homologous brain structures of the dyad in theta and alpha bands, indicating a similar degree of planning and social exchange. Competitive gaming emphasized the difference between participants who were able to relax and, in this way, maintain RA, and those who had an unsuccessful approach. Analysis of interbrain connections shows engagement of frontal areas in losers, but not in winners, indicating the formers’ attempt to mentalise and apply strategies that might be suitable for conventional gaming, but inappropriate for the alpha neurofeedback-based game. We show that in gaming based on multiplayer non-verbalized NF, the winning strategy is dependent on the rules of the game and on the behavior of the opponent. Mental strategies that characterize successful gaming in the physical world might not be adequate for NF-based gaming.

Humans are social creatures whose behavior and consciousness are heavily shaped by their environment. Hence, it is natural that hyperscanning, a technique which involves simultaneous recording of physiological activity from more than one subject, is used to deepen our understanding of human interaction. In recent years, hyperscanning has been applied to brain activity to shed light on the neurophysiological representation of various types of interpersonal communication. These range from verbal interaction (Pérez et al., 2017; Ahn et al., 2018), leader-imitator (Dumas et al., 2010; Yun et al., 2012), joint attention and joint decision-making (Toppi et al., 2016; Hu et al., 2018), to teaching or playing music in a duet (Sänger et al., 2012; Müller et al., 2013). Moreover, the neurological coupling of mothers and their infants was investigated for positive and negative emotions and their regulation (Reindl et al., 2018; Santamaria et al., 2020).

In the midst of the Anti AI Art movement and the ever evolving complexity of the algorithms they are rallying against, this video essay discusses current flaws and future potential of AI Translation technology within Retro Game Emulation. Through rigorous testing of 3 games that never got localizations or fan translations (Tokimeki Memorial 2, Sakura Wars 2 & Boku No Natsuyasami 2), we will see how well Retroarch and ZTranslate’s AI Translator works for the average player. We will also discuss the ways in which this technology could one day be used in more formal localisations by professional teams, and wel will come to understand the nuances of the AI debate.

#AI #FanTranslation #Emulation.

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In the four years since an experiment by disgraced scientist He Jiankui resulted in the birth of the first babies with edited genes, numerous articles, books and international commissions have reflected on whether and how heritable genome editing—that is, modifying genes that will be passed on to the next generation—should proceed. They’ve reinforced an international consensus that it’s premature to proceed with heritable genome editing. Yet, concern remains that some individuals might buck that consensus and recklessly forge ahead—just as He Jiankui did.