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This superintelligent AI is quite astounding learning similarly to a human even. What I am wanting someday is from labor to digital commerce like bitcoin to even stock markets to everything could essentially automated. Also with the neuralink we could essentially have similar intelligence as the superintelligence allowing for humans to attain a superintelligent level of abilities. I think with DNA computers could be better than essentially for implants or essentially downloading information onto human DNA computers or even brain downloads from simple impulses from devices could give binary code files for abilities or making the superintelligence abilities a simple download rather than other forms of technology.


OpenAI has always focused on artificial intelligence (AI) and machine learning advances that benefit humanity. Recently, the company successfully trained a bot to play Minecraft using more than 70,000 hours of gameplay videos. The achievement is far more than just a bot playing a game. It marks a giant stride forward in advanced machine learning using observation and imitation.

Year 2018 o.o! This could be the first step toward avatars and as well as medical sciences finding a way to treat a human being better essentially with more precision. Also this means we really are wetware computers that can be coded and controlled much like robots are which can lead to our own level of superintelligence in the future by having more abilities with downloaded information.


Cannot be used to help you avoid snack food.

The central government has started a drive to upgrade its IT equipment and infrastructure so that all electronic, data storage and communication devices used in government departments and agencies remain within the life span specified by the manufacturer and remain immune to cyber threats.

The move comes in the wake of a large number of cyber security incidents reported by Cert-In, a nodal agency for responding to such incidents and a recent ransomware attack at country’s top medical institute All India Institute of Medical Sciences (AIIMS), New Delhi on 23 November.

The ministry of electronics and information technology (Meity) has directed all secretaries of central ministries to actively take actions with regards to cyber security. Use of out-of-date operating systems and IT equipment must be discontinued, Meity said in a communication reviewed by Mint.

A common chemotherapy drug could carry a toxic inheritance for children and grandchildren of adolescent cancer survivors, Washington State University-led research indicates.

The study, published online in iScience, found that male rats who received the ifosfamide during adolescence had offspring and grand-offspring with increased incidence of disease. While other research has shown that cancer treatments can increase patients’ chance of developing disease later in life, this is one of the first-known studies showing that susceptibility can be passed down to a third generation of unexposed offspring.

“The findings suggest that if a patient receives , and then later has children, that their grandchildren, and even great-grandchildren, may have an increased disease susceptibility due to their ancestors’ chemotherapy exposure,” said Michael Skinner, a WSU biologist and corresponding author on the study.

Check out the on-demand sessions from the Low-Code/No-Code Summit to learn how to successfully innovate and achieve efficiency by upskilling and scaling citizen developers. Watch now.

The metaverse skyrocketed into our collective awareness during the height of the pandemic, when people longed for better ways to connect with each other than video calls. Gaming’s hot growth during the pandemic also pushed it forward. But the metaverse became so trendy that it now faces a backlash, and folks aren’t talking about it as much.

Yet technologies that will power the metaverse are speeding ahead. One of those technologies is generative AI, which uses deep learning neural networks to produce creative concept art and other ideas based on simple text prompts.

This article reports a highly integrated watch for noninvasive continual blood glucose monitoring. The watch employs a Nafion-coated flexible electrochemical sensor patch fixed on the watchband to obtain interstitial fluid (ISF) transdermally at the wrist. This reverse iontophoresis-based extraction method eliminates the pain and inconvenience that traditional fingerstick blood tests pose in diabetic patients’ lives, making continual blood glucose monitoring practical and easy. All electronic modules, including a rechargeable power source and other modules for signal processing and wireless transmission, are integrated onto a watch face-sized printed circuit board (PCB), enabling comfortable wearing of this continual glucose monitor. Real-time blood glucose levels are displayed on the LED screen of the watch and can also be checked with the smartphone user interface.

Year 2021 face_with_colon_three


While the Apple Watch has evolved from a fashionable phone accessory to a high-tech health monitor—capable of scanning for heart conditions and calling for help after injuries—future generations may tap into a deeper set of features to track the body’s inner workings.

This could include long-rumored blood sugar readings, from the wrist-worn gadget, plus blood pressure measurements, hydration levels and more, following newly divulged arrangements with the sensor maker Rockley Photonics.

As first reported by The Daily Telegraph, Rockley now lists Apple as its biggest customer and contributor of the lion’s share—or potentially nearly all—of its revenues dating back to 2019.

The neuroscience of perception has recently been revolutionized with an integrative modeling approach in which computation, brain function, and behavior are linked across many datasets and many computational models. By revealing trends across models, this approach yields novel insights into cognitive and neural mechanisms in the target domain. We here present a systematic study taking this approach to higher-level cognition: human language processing, our species’ signature cognitive skill. We find that the most powerful “transformer” models predict nearly 100% of explainable variance in neural responses to sentences and generalize across different datasets and imaging modalities (functional MRI and electrocorticography). Models’ neural fits (“brain score”) and fits to behavioral responses are both strongly correlated with model accuracy on the next-word prediction task (but not other language tasks). Model architecture appears to substantially contribute to neural fit. These results provide computationally explicit evidence that predictive processing fundamentally shapes the language comprehension mechanisms in the human brain.