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Nine Network is a company registered under Indian Companies Act 2013 and Registered As Nine Network Private Limited CIN: U74140DL2016PTC289760. Inventiva is a fully Licensed & Registered Print Media With RNI (Registrar Of Newspaper For India) Under MIB (Ministry of Information & Broadcasting) With Registration Number DELBIL/2018/76160. NINE NETWORK PRIVATE LIMITED incorporated/ registered as a Private Limited Company on 19-01-2016, is recognized as a startup by the Department of Industrial Policy and Promotion.

Artificial intelligence (AI) is a potentially transformational technology that will impact how people work and socialize and how economies grow. AI will also have wide-ranging international implications, from national security to international trade. In this submission, we address the significance of international cooperation as a vehicle for realizing the ambitious goals in the key areas of AI innovation and regulation set out in the European Commission's white paper on AI. We focus particularly on the EU relationship with the U.S., which as both a major EU trading partner and a world leader in AI, is a logical partner for such cooperation. Specifically, the white paper observes that the "EU will continue to cooperate with like-minded countries, but also with global players, on AI, based on an approach based on EU rules and values."

At The Good AI, we strongly believe Artificial Intelligence (AI) should be inclusive and celebrate diversity. However, AI is also the reflector of its creators and this translates into the reproduction of certain biases into AI products related to race, gender or sexual orientation among others. The following article from the MIT Technology Review explains how. In the light of this, the tech industry has an important responsibility towards society, and the death of George Floyd at the hands of a city police officer in Minneapolis, USA on 25 May 2020, -one in a long series of racists attacks against African Americans -, should urge us to take action. We need to make sure we are not perpetuating and letting racism or any other kind of discrimination take roots in our AI systems.

It was just a few months ago that NRF looked at AI in retail, questioning whether 2020 might be the year that it finally took off. How quickly things can change. Artificial intelligence and its companion, machine learning, have been upended along with every other aspect of retail. And while AI's ability to anticipate the future might have been damaged by toilet-paper hoarding, bread-baking shoppers, it also might provide an unexpected roadmap for the future. Machine-learning based AI has been "thrown for a loop by the coronavirus," says Nikki Baird, vice president of retail innovation at Aptos.

Like any technology, AI holds the potential to be weaponized, and more of this type of activity is certainly on the horizon. Cybersecurity leaders have to beat bad actors to the chase by understanding how AI will be weaponized and being able to confront it head-on. To do this, it's important for senior leaders understand how AI can be used by bad actors, in order to ensure their organizations are two steps ahead. Cyber criminals are opportunistic – so it's not surprising that as AI grows in adoption and sophistication, cybercriminals are also looking to seize upon its potential. This isn't exactly new – back in 2018, the Electronic Frontier Foundation was warning about all of the potential malicious uses of AI.

The human brain is an incredibly efficient source of intelligence. Earlier this month, OpenAI announced it had built the biggest AI model in history. This astonishingly large model, known as GPT-3, is an impressive technical achievement. Yet it highlights a troubling and harmful trend in the field of artificial intelligence--one that has not gotten enough mainstream attention. Modern AI models consume a massive amount of energy, and these energy requirements are growing at a breathtaking rate.

As we are evolving towards this unprecedented time of COVID-19, artificial intelligence proved to be one technology that has encompassed almost all aspects of human lives, whether it be healthcare, banking, shopping as well as running businesses amid this crisis. The impact of this pandemic has showcased the significance of this technology, and therefore companies and government entities are catching up their pace with AI-powered solutions. In fact, according to a PwC's report, it has been noted how this technology can be a game-changer for this era and could contribute up to $15.7 trillion to the global economy by 2030. A lot of this could be attributed to the popular belief that artificial intelligence has the potential to solve some of the complex real-world business problems. However, despite these incredible outcomes that artificial intelligence harnessed over businesses, the pandemic has highlighted some existing problems related to this technology, including explainability, accuracy, and privacy-related risks.

Our company has built a platform to produce high-quality cells and tissues for regenerative medicine. That pursuit involves multiple disciplines, which means everyone here is an expert in a different language. Some of us are fluent in stem-cell biology, others in optical engineering, others in machine learning. When we started the company it wasn't possible to do biology and engineering under the same roof. When we finally moved into a shared space we were able to learn each other's lexicons, and we became more strongly aligned.

We give robots some pretty scary and stressful jobs: cleaning up nuclear sites, inspecting pipelines from the inside, exploring the frozen wastes of Mars. The arrival of the coronavirus has transformed more familiar settings, like grocery stores and hospitals, into potentially hazardous environments as well. Erika Hayasaki, a writer and journalism professor in California, learned that the pandemic is leading some organizations to speed up their automation plans in order to aid front-line workers. Her feature article appears in the July issue of MIT Technology Review. In this episode of Deep Tech, she describes her reporting on companies in California and Texas that are rushing to meet the demand, and asks whether the new wave of safety-driven automation could ultimately force more human workers into retraining programs. Amazon's Investment in Robots is Eliminating Human Jobs, December 5, 2017 Wade Roush: The day when robots show up in your workplace may be closer than you think. BBC Business News: The robots are coming.