Revealing a disconnect in UK workplaces, 83% of leaders claim not to have been asked by staff about AI. The absence of transparency and open communication is fuelling fears about job security among workers while, at the same time, preventing them from understanding exactly how AI can help augment their roles. More than a third of staff (36%) would use the time they saved by using AI to learn new skills at work. Lord Clement-Jones, Chairman of the House of Lords Select Committee on AI, said: "There is absolutely no excuse for anybody in business, at whatever age, for not reinventing themselves in terms of really understanding how AI works." The rate of AI adoption also varies depending on sector, with financial services leading the way. Nearly three-quarters (72%) of the nation's finance leaders say their organisation is using AI – a 7% increase from 2018 and considerably higher than the national average of 56%. Half of leaders in the field want their organisation to be a leader in AI. More than half (51%) of manufacturing leaders who were interviewed for Microsoft's report said they were using AI, falling to 46% for healthcare and 43% for retail. Microsoft has launched a number of initiatives to boost the level of digital skills in the UK, including a free online AI Business School enabling executives to learn about strategies and use of AI at their own pace in their own time.

In the have-not camp, they warn, will be university labs, which have traditionally been a wellspring of innovations that eventually power new products and services. "The huge computing resources these companies have pose a threat -- the universities cannot compete," said Craig Knoblock, executive director of the Information Sciences Institute, a research lab at the University of Southern California. The research scientists' warnings come amid rising concern about the power of the big tech companies. Most of the focus has been on the current generation of technology -- search, online advertising, social media and e-commerce. But the scientists are worried about a barrier to exploring the technological future, when that requires staggering amounts of computing.

Butterfly Network is reinventing medical imaging and championing a new era of healthcare by creating the first ever pocket-sized, whole-body ultrasound device – the Butterfly iQ. This breakthrough technology has reduced the cost of the traditional ultrasound system by miniaturizing it onto a single semiconductor silicon chip. Our mission is to democratize healthcare by making medical imaging accessible to everyone around the world. Since inception, Butterfly has raised over $375 million. The iQ is FDA-cleared and is being sold in hospitals and clinics around the globe.

PerimeterX is a provider of scalable, behavior-based threat protection technology for the web, cloud, and mobile. By analyzing the behavior of humans, applications, and networks, PerimeterX catches in real-time automated attacks with unparalleled accuracy. Its security service PerimeterX Bot Defender accurately protects commerce, media, and enterprise websites from all types of automated or non-human attacks, at any scale. The company was listed in the Top 5 Cybersecurity Startups Of 2019 by Business Computing World and was ranked in the 100 most promising private artificial intelligence companies in the world by CBInsights. PerimeterX was founded in 2014 and is based in San Mateo, California and has raised $91.5M in total.

This February, China's best-known contemporary actress, Yang Mi, surfaced in a video of a 1983 Hong Kong television drama The Legend Of The Condor Heroes. Given the prevailing China-Hong Kong friction, the fake video wherein the original actress' face was replaced with Yang garnered almost 240 million views before it was removed by Chinese authorities. Similarly, videos of US President Donald Trump mocking Belgium for joining the Paris Climate agreement, or a video of Facebook CEO Mark Zuckerberg boasting that the social network owns its users, were widely circulated until they were found to be fake. Known as deepfakes, this new breed of fake videos first surfaced back in 2017 with fake porn videos of some Hollywood celebrities. While initially simple open source video editing tools were used to manipulate audio and video, criminals are now using more sophisticated machine learning (ML) tools like generative adversarial networks, or GANs, that use a pair of contrasting unsupervised ML algorithms to create a deepfake.

MIT.nano has announced the first recipients of NCSOFT seed grants to foster hardware and software innovations in gaming technology. The grants are part of the new MIT.nano Immersion Lab Gaming program, with inaugural funding provided by video game developer NCSOFT, a founding member of the MIT.nano The newly awarded projects address topics such as 3-D/4-D data interaction and analysis, behavioral learning, fabrication of sensors, light field manipulation, and micro-display optics. "New technologies and new paradigms of gaming will change the way researchers conduct their work by enabling immersive visualization and multi-dimensional interaction," says MIT.nano Associate Director Brian W. Anthony.

'God of War' is one of five new games coming to Sony's PlayStation Now cloud gaming subscription service. PS Now is also getting a price cut to $9.99 monthly, from $19.99. Been thinking of giving Sony's PlayStation Now cloud gaming service a spin? Now you have even more reasons. For starters, the video game maker is reducing the price of the subscription service to $9.99, down from the previous monthly charge of $19.99.

The computer industry faces epic change, as the demands of "deep learning" forms of machine learning force new requirements upon silicon, at the same time that Moore's Law, the decades-old rule of progress in the chip business, is collapsing. This week, some of the best minds in the chip industry gathered in San Francisco to talk about what it means. Applied Materials, the dominant maker of tools to fabricate transistors, sponsored a full day of keynotes and panel sessions on Tuesday, called the "A.I. The presentations and discussions had good news and bad news. On the plus side, many tools are at the disposal of companies such as Advanced Micro Devices and Xilinx to make "heterogenous" arrangements of chips to meet the demands of deep learning. On the downside, it's not entirely clear that what they have in their kit bag will mitigate a potential exhaustion of data centers under the weight of increased computing demand. No new chips were shown at the Semicon show, those kinds of unveilings long since passed to other trade shows and conferences. But the discussion at the A.I. forum gave a good sense of how the chip industry is thinking about the explosion of machine learning and what it means for computers. Gary Dickerson, chief executive of Applied Materials, started his talk by noting the "dramatic slowdown of Moore's Law, citing data from UC Berkeley Professor David Patterson and Alphabet chairman John Hennessy showing that new processors are improving in performance by only 3.5% per year.

On Saturday, the Ministry of Electronics and Information Technology (MeitY) entered into a collaboration with Google to launch "Build for Digital India," a programme that will provide learners in engineering with a platform for market-ready development technology-based solutions that address key social problems. The programme will invite ideas from students to focus on areas of healthcare, agriculture, education, smart cities and infrastructure, women safety, smart mobility and transportation, environment, accessibility and disability and digital literacy. As part of the programme, engineering students across the country will be invited to apply and join in a learning journey that will help them transform their bright ideas into real-world solutions. Applicants will take part in online and offline learning opportunities on key technologies such as Machine Learning, Cloud and Android. These will be offered through Google's Developer Student Club network and other Google Developer networks.

In this article, we will study the various types of machine learning algorithms and their use-cases. We will study how Baidu is using supervised learning-based facial recognition for intelligent airport check-in and how Google is making use of Reinforcement Learning to develop an intelligent platform that would answer your queries. Machine Learning is a broad field, but it is classified into three classes of supervised, unsupervised and reinforcement learning. All these three paradigms are used everywhere to power intelligent applications. We will look at the important use cases of these paradigms and how they are revolutionizing our world today.