Source: biometricupdate.com The EU’s proposed temporary moratorium on biometric facial recognition technology use is being supported by Alphabet and Google CEO Sunder Pichai, who spoke at an event organized by the think tank Bruegel in Brussels, Reuters reports. Nefarious uses of facial recognition and the spread of deepfakes are among the concerns motivating a call for regulation Read More

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Source: towardsdatascience.com In the world of data science, one must excel in data creativity, scepticism and communication. Interesting insights from data analysis will have to be shared with senior-level decision makers and key stakeholders in a way that achieves maximum impact. The ability to effectively present and communicate findings — by creating compelling stories — Read More

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Source: healthitanalytics.com January 22, 2020 – Machine learning algorithms have the potential to accelerate and refine the drug development process, but the industry should expand data access and create consistent data standards to ensure drug companies can fully leverage these tools, according to a report from the Government Accountability Office (GAO). Drug companies spend ten Read More

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Source: mobihealthnews.com A study published in Nature has demonstrated how artificial intelligence (AI) research can drive and accelerate new scientific discoveries. Alphabet subsidiary DeepMind has created a dedicated, interdisciplinary team to explore using AI to predict the 3D structure of a protein based solely on its genetic sequence. Its system, AlphaFold, builds on prior research using large genomic Read More

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Source:bdtechtalks.com Two separate studies, one by UK-based artificial intelligence lab DeepMind and the other by researchers in Germany and Greece, display the fascinating relations between AI and neuroscience. As most scientists will tell you, we are still decades away from building artificial general intelligence, machines that can solve problems as efficiently as humans. On the path to Read More

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Source: affiliateinsider.com Mass marketing worked a treat in the early days of advertising, when there were only a couple of disruptors. But since then, times have changed and it’s important for the industry to become more personal.  The benefits of personalisation are well-known. It enhances user experience, boosts your chances of player retention and helps with attracting Read More

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Source: analyticsinsight.net Regardless of whether it’s language, music, speech, or video, sequential data isn’t simple for AI and machine learning models to understand, especially when it relies upon the extensive surrounding context. For example, if an individual or an item vanishes from view in a video just to return a lot later, numerous algorithms will overlook what Read More

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Source: thehindubusinessline.com Researchers in Japan and The Netherlands have, for the first time, used machine learning techniques, in particular artificial neural networks (ANNs), to predict the Indian Ocean Dipole (IOD), a positive phase of which has affected weather and climate in India and Australia in a spectacular fashion so far in 2019-20. Positive, negative phases Read More

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Source: nasdaq.com It’s no secret that Apple (NASDAQ: AAPL) has spent a great deal of time, money, and resources to make its devices — particularly the iPhone — smarter using artificial intelligence (AI). One of the factors that differentiates Apple from the other companies developing the technology is its consistent commitment to data privacy. To advance that agenda, Read More

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Source: independent.co.uk An artificial intelligence learning technique has been used to make a breakthrough in understanding several previously unexplained features of the human brain Researchers at Google-owned DeepMind discovered that a recent development in computer science regarding reinforcement learning could be applied to how the brain’s dopamine system works. The research, published in the scientific journal Nature, has implications for Read More

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Source: /i-hls.com Currently, almost every company integrates Artificial Intelligence into its products, including deep learning. “The availability of current computing power, alongside labeled databases and trained networks that can be easily adapted for solving new problems – these are the factors that helped the deep learning field to finally grow”, said Roy Fahn, who leads the Read More

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Source: mashable.com From facial recognition to self-driving vehicles, machine learning is taking over modern life as we know it. It may not be the flying cars and world-dominating robots we envisioned 2020 would hold, but it’s still pretty futuristic and frightening. The good news is if you’re one of the pros making these smart systems Read More

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Source: As technology develops, especially with advancements in artificial intelligence (AI) and robotics, people can become fearful and anxious about what they don’t know or don’t understand. Brain Corp has deployed autonomous robots globally in different workplaces and across various industries, and in that process, several common questions and misconceptions pop up when we meet Read More

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Source: knowledge.wharton.upenn.edu Advanced analytics, artificial intelligence and machine learning are arguably the most powerful general-purpose technologies invented since the dawn of modern computing. Extracting value from these is an imperative for business and society. It requires a deeper understanding and self-reflection among leaders of human strengths and frailties in contrast to that of modern, software-based Read More

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Source: analyticsindiamag.com Artificial intelligence has revolutionised every piece of technology it has touched. However, this augmentation — for better or worse — has also brought up a lot of confusion. With more and more AI application coming up in different fields, specifically in automation like Cognitive Automation, the conditions associated with it give the impression Read More

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Source: techgenyz.com Artificial intelligence has transformed our world drastically. And this fact is more than evident by just taking a look around. Every device or technology that is surrounding us is becoming in ways powered by artificial intelligence. Be it our smartphone, mobile applications, software, websites, smartwatches or IT services like healthcare. Artificial intelligence is penetrating Read More

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Source: cio.eletsonline.com As many as 54 tech startups have been selected under Microsoft India’s ‘Highway to a Hundred Unicorns’ programme, which was launched by the tech-giant to engage with innovators and entrepreneurs across Tier-2 cities to help them scale their businesses. “The entrepreneurial energy of startups is rising well beyond the known metropolitan hubs and is Read More

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Source: cnbc.com For a long time, American space exploration was a closed circle: There was just one customer, the U.S. government (NASA) and a handful of giant defense contractors. Then in 2008 Elon Musk’s SpaceX put the first privately-financed rocket into orbit, Jeff Bezos’ Blue Origin promised private flights, and space was suddenly a lively Read More

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Source: If you follow news coverage of the latest developments in Artificial Intelligence and Machine Learning, the mainstream media will have you believe that most of the innovation in this burgeoning field is restricted within the walls of the big tech players, but that’s not the case. Plenty of examples exist of start-ups delivering AI and ML breakthroughs Read More

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Source: healthitanalytics.com Artificial intelligence is often seen as the silver bullet to the healthcare industry’s numerous problems. Machine learning technologies have been shown to more quickly and accurately read radiology scans, identify high-risk patients, and reduce provider’s administrative burden. But recent studies have revealed the inherent bias perpetuated by using these algorithms in clinical practice, concerning many that these technologies are more harmful Read More

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Source: towardsdatascience.com Machine learning is a powerful concept of finding patterns from data. However, if you have tried building a machine model from scratch, you should be aware of the challenges involved in designing a scalable machine learning workflow. Labeling, training, and fine-tuning parameters are all time-consuming activities involved in building a machine learning model Read More

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Source: expresscomputer.in Researchers, including two of Indian-origin, have demonstrated that machine-learning algorithms can monitor online social media conversations as they evolve, which could one day lead to an effective and automated way to spot online trolling. Prevention of online harassment requires rapid detection of offensive, harassing, and negative social media posts, which in turn requires Read More

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Source: telecompaper.com Singapore operator M1 and Singapore Institute of Technology (SIT) have signed a research collaboration agreement, to jointly research and develop artificial intelligence (AI) deep learning algorithms and methodology to upgrade the planning, operations and maintenance of large and complex mobile networks. M1 and SIT plan to jointly develop AI services to reduce manual Read More

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Source: enterprisetalk.com As firms move towards the adoption of machine learning, Artificial Intelligence (AI) is generating substantial security risks. One of the most significant risks associated with AI remains the ML-based models operating as “black boxes.” The deep learning models composed of artificial neural networks have complicated the process of deriving automated inferences. These complications increase the risks associated Read More

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Artificial Intelligence