Source: nextplatform.com Sundar Pichai, CEO of Google and parent company Alphabet, generated a lot of buzz recently with an op-ed he wrote for the The Financial Times calling for greater regulation of artificial intelligence (AI) technologies, adding a high-profile voice into a debate that has been simmering as innovation around AI, machine learning and deep learning have advanced rapidly. In the column and in Read More
Tag: Artificial intelligence (AI)
Source: analyticsinsight.net We usually hear a lot about human-level AI or artificial intelligence but little do we realize that the human mind and AI are actually quite interlinked. The brain’s neural network and artificial neural network possess some similarities between themselves. Both are trained on data, while the brain learns from real-life data and experiences Read More
Source: businesslive.co.za Brussels — Alphabet’s CEO has urged the US and EU to co-ordinate regulatory approaches on artificial intelligence (AI), calling their alignment “critical”. In a rare public speech in Brussels on Monday at an event hosted by European economic think-tank Bruegel, Sundar Pichai, who is also CEO of Google, said “there is no question Read More
Source: computerweekly.com Russian telco Rostelecom and state-run banking and financial group VTB are launching a big data platform and will offer it as a service to other organisations. The two companies signed an agreement in November, and the initial investment in the project was set at RUB1bn ($15.7m), split equally. “The new platform will facilitate Read More
Source: livemint.com Artificial intelligence (AI) is deeply linked with machine learning (ML). In fact, almost all of AI today is simply ML—in other words, an attempt to get a computer to make itself more efficient at its task without the need for human intervention. As an investor in deep-tech and science companies, I have had Read More
Source: news-medical.net Several technologies have been developed over the past few years that are pushing the boundaries of our scientific knowledge to new heights. As these technologies develop scientists are looking into ways of using them in tandem, to produce more accurate results and new ways of approaching the problems of the modern scientific industry. Read More
Source: forbes.com Today, around the world, across most industry sectors, front-line, midlevel and, yes, even executive-level managers spend 54% of their workdays on administrative coordination and control. In contrast, just 7% of their time is spent developing people. So reports recent research from Accenture It is my view that managers are doing many things that can be Read More
Source: forbes.com The buzz about the power of AI to disrupt industries and transform businesses is not hype; it’s real. Just look at what AI-powered FAANG companies have done in advertising, retail, entertainment and other industries. But most “non-digital-native” enterprises have yet to realize the benefits of AI and are facing increasing pressure to do Read More
Source: techxplore.com By learning to deviate from known information in the same way that humans do, an “imagination” algorithm for artificial intelligence (AI) is able to identify previously unseen objects from written descriptions. The algorithm, developed by KAUST researcher Mohamed Elhoseiny in collaboration with Mohamed Elfeki from the University of Central Florida, paves the way Read More
Source: newatlas.com One of the most difficult challenges for artificial intelligence systems is predicting the weather – with an almost infinite number of variables to assess and model. But Google says its AI is making progress in the accuracy of its “nowcasts.” Nowcasting is forecasting the weather in the very short term, over the next one Read More
Source: theverge.com AI allows machines to carry out all sorts of tasks that used to be the domain of humans alone. Need to run quality control on a factory production line? Set up an AI-powered camera to spot defects. How about interpreting medical data? Machine learning can identify potential tumors from scans and flag them Read More
Source: zdnet.com Late last year, I complained to Richard Socher, chief scientist at Salesforce and head of its AI projects, about the term “artificial intelligence” and that we should use more accurate terms such as machine learning or smart machine systems, because “AI” creates unreasonably high expectations when the vast majority of applications are essentially extremely Read More
Source: bizcommunity.com While today’s operating environment puts businesses under pressure to innovate, the workforce can feel left out and wonder where they fit in. While there’s no denying how digitisation is allowing efficiencies in business that were not possible before, Human Intelligence (HI) is still a great commodity for businesses today, and in the future. Read More
Source: venturebeat.com Google hopes to tap AI and machine learning to make speedy local weather predictions. In a paper and accompanying blog post, the tech giant detailed an AI system that uses satellite images to produce “nearly instantaneous” and high-resolution forecasts — on average, with a roughly one kilometer resolution and a latency of only Read More
Source: newdelhitimes.com The term Artificial Intelligence (AI) was coined by John McCarthy in 1956. AI is defined in the Oxford English Dictionary as “the theory and development of computer systems able to perform tasks normally requiring human intelligence, such as visual perception, speech recognition, decision-making, and translation between languages.” According to techopedia.com, Artificial Intelligence (AI) Read More
Source: forbes.com In the conversation around the application and adoption of artificial intelligence (AI) and cognitive technologies, two recurring types of solutions usually come up: AI solutions meant to work in conjunction with people to help them accomplish their tasks better, and AI solutions meant to function entirely independent of human intervention.The sorts of solutions Read More
Source: indiatoday.in Chief Justice of India, Sharad Arvind Bobde on Saturday hinted at the possibility of Artificial Intelligence being developed for the court system while making it clear that it will never replace human discretion. Speaking at an event in Bengaluru, Bobde said, “We have a possibility of developing Artificial Intelligence for the court system. Read More
Source: analyticsinsight.net E-commerce is a booming industry where personalization is one of the most important elements the industry is dependent on. However, with an incrementation in the competition, companies are constantly trying to deliver customer centric experience to consumers. Artificial Intelligence is penetrating in our everyday lives and not just restricted to information technology. When Read More
Source: qz.com Google is working on an AI tool for mammograms that researchers hope will one day be more accurate than human radiologists. The tech giant paid for a study, the results of which were published last week (Jan.1) in Nature. Its findings, at first glance, look promising. But experts caution that AI has a Read More
Source: aiin.healthcare The use of AI in healthcare is rapidly rising, but healthcare providers remain an absolutely essential part of patient care, according to a new analysis published in CMAJ. AI can’t replace human reasoning, the authors added, but it can certainly play a valuable role in assisting physicians on a daily basis. “Several studies have shown the Read More
Source: businessworld.in The economist David Ricardo, when he had in 1821 written about the impact of machines, could not have imagined their pervasive influence on our lives. Today, robots controlled by supercomputers, self-driven cars, board games that are programmed to outsmart humans, complex algorithms that replicate the human brain, and neural networks – have become Read More
Source: financialexpress.com While the study is not a pioneering work—NYU research had already established similar results—what makes Google’s work unique is the fact that it was conducted across two countries with a larger sample. More important, as against artificial lab comparison, this one compares performance with real-world diagnoses. When Google, in 2016, announced that its DeepMind Read More
Source: infoq.com Google AI has open-sourced A Lite Bert (ALBERT), a deep-learning natural language processing (NLP) model, which uses 89% fewer parameters than the state-of-the-art BERT model, with little loss of accuracy. The model can also be scaled-up to achieve new state-of-the-art performance on NLP benchmarks. The research team described the model in a paper Read More
Source: geospatialworld.net Artificial Intelligence (AI) has the peculiar ability to simultaneously amaze, enthrall and intimidate. The possibilities of AI are innumerable and beyond the scope of our imagination. AI would be the bedrock of the era of connected mobility, automation and Industry 4.0, powering everything from analytics, decision-making, agriculture, logistics, to construction, aerospace and robotics. Read More
Source: siliconangle.com When it comes to advancing the field of artificial intelligence, the ultimate prize is still clear. The goal is to come as close as possible to the power of the human brain. For researchers at the forefront of AI development, such as Naveen Rao (pictured), vice president and general manager of the artificial Read More
Source: hrtechnologist.com “Deep-learning will transform every single industry,” said Andrew Ng, a Chinese-American scientist excelling in machine learning and AI. McKinsey’s forecast on machine learning backs up his statement claiming that by 2030, AI will have a significant impact of $13 trillion on the global economy. The Human Resource department will also witness the influence Read More
Source: healthdatamanagement.com While artificial intelligence has the potential to address the epidemic of diagnostic errors in healthcare, the industry must overcome the challenges and limitations of these new digital tools. That’s the contention of a new book on clinical decision support co-authored by John Halamka, MD, president of the Mayo Clinic Platform, and healthcare writer Read More
Source: dqindia.com From the emerge of cognitive intelligence, in-memory-computing, fault-tolerant quantum computing, new materials-based semiconductor devices, to faster growth of industrial IoT, large-scale collaboration between machines, production-grade blockchain applications, modular chip design, and artificial intelligence technologies to protect data privacy, more technology advancements and breakthroughs are expected to gain momentum and generate big impacts the Read More
Source: fool.com Baidu (NASDAQ:BIDU) and Alphabet’s (NASDAQ:GOOG) (NASDAQ:GOOGL) Google both develop artificial intelligence technologies like machine learning, deep learning, and neural networks. Both companies use those AI technologies to crunch data from their similar ecosystems, which include market-leading search engines, cloud services, streaming media platforms, voice assistants, and smart speakers. Yet Baidu’s ecosystem is mostly Read More
Source: dbta.com From data lakes and the cloud, to machine learning and artificial intelligence, the world of big data and analytics continues to evolve. At the same time, the need for improved governance and security practices is also intensifying as data privacy concerns and new regulations like GDPR and CCPA require new approaches for responsible Read More