In a blog post Monday, Microsoft detailed plans for its HoloLens 2 mixed reality headset and confirmed that it would utilize a dedicated coprocessor for AI processing. Competitors like Google, Facebook and Nvidia have also explored including similar processors for AI. The increased investment in AI-tailored hardware speaks to the interest and importance AI now has for tech companies. For a mixed reality device like the HoloLens, the potential applications for AI are similar: AI could help power overlays to give you additional information about things you see or hear in the real world.
Artificial Intelligence (AI) attracted $162M in investments across 12 deals in the first half of 2017, the highest amount of funding in Canada in the past five years, according to the MoneyTree Report from PwC Canada and CB Insights. Despite the record high in AI deals, investments in venture-backed companies based in Canada slowed down in the first half of 2017. In terms of thematic areas, a $102M mega-round pushed annual funding to Canadian AI companies to a high of $162Macross 12 deals through H1 2017, while deal activity is also on pace to surpass last year's high. "Canadian companies are attracting larger investments from top VCs who are increasingly focused on our homegrown tech talent and innovation.
Manufacturing was increasingly displaced from advanced economies and redeployed to developing ones. Companies gave workers increments to recognise increasing years of service and long experience gave workers and business leaders' judgement, tacit knowledge and networks which were competitive advantages that were impossible to substitute. However, the lack of predictability and the speed of change means that developing economies have a small window, possibly 10 to 20 years, of opportunity to leapfrog or risk being alienated from the digital economy. To succeed in the digital age means synchronising the speeds of change and response.
Instead, we should focus on the challenges and opportunities presented by new technology trends, including artificial intelligence, machine learning, and Big Data analytics. He added: "The development of automation enabled by technologies, including robotics and artificial intelligence, brings the promise of higher productivity (and with productivity, economic growth), increased efficiencies, safety, and convenience, but these technologies also raise difficult questions about the broader impact of automation on jobs, skills, wages, and the nature of work itself." It's tempting to view machine learning's evolution as a slam dunk for the robots As machine learning-based skills approach those of human beings, it's tempting to view their evolution as a slam dunk for the robots. And over time machine learning and other advanced technologies will create new growth opportunities and jobs for workers with updated skills.
SHANGHAI--A Chinese startup that sells facial recognition systems to police forces secured venture-capital funding that values it at more than $1.5 billion, underscoring the sector's emergence as one of technology's hottest areas of interest. Beijing-based SenseTime Co., which provides surveillance systems using facial recognition to Chinese law enforcement agencies, said Tuesday it raised $410 million in new funding from investors, lifting it to so-called unicorn status with a value of more than $1 billion. Using artificial intelligence, facial recognition systems from SenseTime and others can identify people in a crowd by matching their faces against those on file in image databases. SenseTime investors include Chinese private-equity fund CDH Investments and Sailing Capital, a VC fund linked to the Shanghai government.
Technologies such as blockchain and artificial intelligence (AI) will have a disproportionately larger impact in India where access issues can be solved by decentralisation and automation, says Arpan Shah, Partner at Virtu Propdeal, a Kolkata-based fund focused on real estate and technology investments. Virtu Propdeal was started in 2012, initially with the idea of investing in real estate projects, especially in Tier 2 and Tier 3 cities. When asked about startups, he said, "Similar to a lot of seed and pre-seed focussed investment companies, we focus heavily on the team and the experience of the founders. In particular, we are focussed on AI and FinTech startups, as well startups focussed on the next wave of internet users in India.
From traffic information to weather monitoring, the Internet of Things (IoT) is helping revolutionise how we live our lives across a number of industries. By connecting various aspects of the urban landscape to the Internet, local administrators will gain access to countless extra datasets that could help them provide better services for their citizens. The potential benefits provided by smart cities mean that the opportunities to utilise their technology are not limited to any particular areas or locations. For any city looking to embrace IoT technology, there are a number of hurdles to overcome, particularly concerning data analytics and smarter services investment.
Last week, investment bank Jefferies released a report warning shareholders not to expect IBM's investments in AI to repay themselves; Watson, it said, risks being eclipsed by competing AI platforms from Google, Amazon, and Microsoft. In fact, like all the AI systems in use today, Watson needs to be carefully trained with example data to take on a new kind of problem. Microsoft CEO Satya Nadella has made so-called "cognitive services" a central part of his effort to build up Microsoft's cloud business. The Mountain View juggernaut has even set up a unit of engineers that work with cloud customers to build up machine learning and AI projects, a model with echoes of IBM's own services business.
China has been heavily investing in American AI start-ups, alarming the US government enough for it to seriously consider strengthening its existing strategic foreign investment regulatory mechanism – the Committee on Foreign Investment in the United States (CFIUS). The present trajectory of AI advancement indicates that future economies and national security will be defined by it, making it among a handful of technologies that will shape global politics. The mapping of India's existing AI capabilities with a comprehensive survey of every AI focused establishment in the country would be a good place to start. The development of such a comprehensive vision will help the Indian government optimise the allocation of its considerable research capabilities towards the development of specific AI capabilities that would most benefit the country.
Recent advances in technology have enabled financial institutions to explore the applications of machine learning techniques in areas like customer service, personal finance and wealth management, and fraud and risk management. Then builds models which are an essential step to predict fraud or anomaly in the data sets. Lastly, we build models as an essential step in predicting the fraud or anomaly in the data sets. Machine Learning technologies includes several functionalities that can be useful for developing a custom digital assistant such as Speech recognition, access to big data, powerful analytics capabilities and ability to interact on social media etc.