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12 inventions (from the wheel to artificial intelligence) that have changed humanity - Checkersaga


We are an amalgam of genes, knowledge, culture and religion, which have influenced our lineage for thousands, tens of thousands of years. One thing is linked to the other, and the history of humanity could not be explained without physical evolution, religion, politics, or science. We are different from our ancestors who lived in the 19th century, or in Prehistory, because we have evolved in different ways. But, What is causing the great changes in humanity? A conquering king, a pandemic, a new religion can change the destiny of hundreds of millions of people. But, objectively, the most important evolutionary changes have come from the hand of technology.

COVID-19: The 4 most innovative inventions that were born as a result of the pandemic - HI4AI


Remote control masks, alarms to avoid touching the face and, large-scale thermometers are proof that crisis can also bring great opportunities for innovation and improvement. There is no doubt that the expansion of COVID-19 worldwide has had a direct impact not only on public health but also on the economy and people's lifestyles. However, adversity also brings with it great opportunities for innovation and creativity. Since the pandemic was unleashed, numerous scholars, businessmen and, specialists in Information technology have put all their experience to help reduce infections by a coronavirus and improve our quality of life while living with the invisible enemy. In the next article, you will learn about the four most innovative inventions you would have never imagined could be developed.

The impact of machine learning and AI on the UK economy


A recent virtual event addressed another such issue: the potential impact machines, imbued with artificial intelligence, may have on the economy and the financial system. The event was organised by the Bank of England, in collaboration with CEPR and the Brevan Howard Centre for Financial Analysis at Imperial College. What follows is a summary of some of the recorded presentations. The full catalogue of videos are available on the Bank of England's website. In his presentation, Stuart Russell (University of California, Berkeley), author of the leading textbook on artificial intelligence (AI), gives a broad historical overview of the field since its emergence in the 1950s, followed by insight into more recent developments.

Artificial intelligence produces data synthetically to help treat diseases like COVID-19


Data driven technologies and "big data" are revolutionizing many industries. However, in many areas of research--including health and drug development--there is too little data available due to its sensitive nature and the strict protection of individuals. When data are scarce, the conclusions and predictions made by researchers remain uncertain, and the coronavirus outbreak is one of these situations. "When a person gets sick, of course, they want to get the best possible care. Then it would be important to have the best possible methods of personalized healthcare available," says Samuel Kaski, Academy Professor and the Director of the Finnish Center for Artificial Intelligence FCAI.

AI is reinventing the way we invent


Drug discovery is a hugely expensive and often frustrating process. Medicinal chemists must guess which compounds might make good medicines, using their knowledge of how a molecule's structure affects its properties. They synthesize and test countless variants, and most are failures. "Coming up with new molecules is still an art, because you have such a huge space of possibilities," says Barzilay. "It takes a long time to find good drug candidates." By speeding up this critical step, deep learning could offer far more opportunities for chemists to pursue, making drug discovery much quicker.

Magic of the machine: can artificial intelligence invent?


There is an interesting appeal listed to be heard in the Patents Court in July. Professor Ryan Abbott of Surrey University wants the patent system to acknowledge machines are inventors. As part of the Artificial Inventor Project, he is seeking patents for inventions made by DABUS (pronounced'DA-BUS'). DABUS, a'creativity machine', is a series of neural networks and was created and is owned by Dr Stephen Thaler. DABUS can be provided information on a particular topic in order to independently create inventions.

Overcoming Bias In A World Of Bad Information


When searching for talent, sometimes the best person for the job is a machine. Robots make sense for repetitive and dangerous tasks, but they also work well as a check against bias. Artificial intelligence already outperforms judges in choices about setting bail because humans on the bench tend to overthink the defendants' demeanor, a poor predictor of flight risk. Likewise, hiring algorithms do better than recruiters at screening resumes because humans in HR show too much favoritism for traditional applicants. Unfortunately, smart technology also has blind spots.

Machine Learning has a Flaw-- It's Gullible


Artificial intelligence and machine learning technologies are poised to supercharge productivity in the knowledge economy, transforming the future of work. Machine learning (ML)--technology in which algorithms "learn" from existing patterns in data to conduct statistically driven predictions and facilitate decisions--has been found in multiple contexts to reveal bias. Such biases often result from slanted training data or skewed algorithms. It comes when outside individuals stand to benefit from bias predictions, and work to strategically alter the inputs. A couple of the most common contexts are perhaps job applicants and people making a claim against their insurance.

The video chat that existed in the 1870s

National Geographic

Since the invention of the telephone and even before we had it in real life, video chatting has appeared in science fiction. See how this once elusive technology was commonplace in illustrations, television, and movies for over a century. You hear your phone ring. You look down, and what do you see? Ah. After you hit decline, think about how commonplace video chat's become.