The AI World Summit will be a unique global opportunity to explore how AI's transformational potential can be best used to create a better future. Find out what this means for policy and decision makers, manufacturers, educators and businesses interested in leveraging its potential, for the good of society and the business community. Discover how lives and businesses have to change post Covid; and dealing with tech disruptions associated with issues involving board diversity, SDG/ESG, professional services, manufacturing, future of work, board governance and more! The AI World Summit 2020/21 will be organised on a virtual platform due to Covid-19 pandemic. The Summit will be hosted from Monday 30th November to Friday 4th December 2020 Singapore Time.
We decided, lets try to think outside the box and get some actionable ideas from a machine-learning model, said Krishna Savani, a psychologist at Nanyang Technological Universitys business school in Singapore. Machine-learning algorithms seem to have insinuated their way into every human activity short of toenail clipping and dog washing, although the tech giants may have solutions in the works for both. If Alexa knows anything about such projects, she's not saying. But one thing that algorithms presumably cannot do, besides feel heartbreak, is formulate theories to explain human behavior or account for the varying blend of motives behind it. They are computer systems; they can't play Sigmund Freud or Carl Jung, at least not convincingly.
A Nanyang Technological University, Singapore (NTU Singapore) survey of 1,231 Singaporeans has found that deepfakes are easily fooling people into thinking fake news is actually real. What's more worrying is that these AI-powered tools are also deceiving those who claim to be aware of deepfakes in the first place. The term itself is a combination of'deep learning' and'fake'. Utilizing the frightening power of artificial intelligence, deepfakes come in the form of videos that depict people doing or saying things they've never even done before. The artificial intelligence software used in making deepfakes can also change the pitch of people's voices, making them sound super-realistic and convincing.
Never have we reached a stage of digital evolution where the focus on technology is at its sharpest. It is no longer just about technology disrupting the marketplace or digital transformation providing better products and services to customers. Instead, it is about the digital revolution and how we can exploit digital assets to ensure the long-term sustainability of our business as it evolves with these technologies. As the impact of AI, 5G, Autonomous X, cognitive devices, and the virtualization of things advances across all sectors, businesses are at a crucial turning point on how to optimize the returns from their existing resources while embracing new business models to create greater value for customers. Frost & Sullivan presented its annual Asia-Pacific ICT Outlook in Singapore on 14 January. Attended by over 60 senior management and C-suite executives, the event marks the start of an exciting year ahead for the industry.
As part of a new collaboration to advance and support AI research, the MIT Stephen A. Schwarzman College of Computing and the Defense Science and Technology Agency in Singapore are awarding funding to 13 projects led by researchers within the college that target one or more of the following themes: trustworthy AI, enhancing human cognition in complex environments, and AI for everyone. The 13 research projects selected are highlighted below. Emerging machine learning technology has the potential to significantly help with and even fully automate many tasks that have confidently been entrusted only to humans so far. Leveraging recent advances in realistic graphics rendering, data modeling, and inference, Madry's team is building a radically new toolbox to fuel streamlined development and deployment of trustworthy machine learning solutions. In natural language technologies, most languages in the world are not richly annotated.
I have recently graduated from the Metis Data Science Bootcamp (Singapore, Batch 5), and enrolling in the Bootcamp might have been one of the best decisions that I have ever made in my life. Out of the mandatory 5 projects that I have completed, all have been published on Towards Data Science (TDS), and 2 have been featured on its social media. Most importantly, however, I managed to land myself two job offers as Data Scientist even before the Bootcamp concluded. Therefore, I wish to share with aspiring data scientists on the Bootcamp, the pros and cons of it, and how to leverage on it to derive the maximum benefits. In summary, Metis Data Science Bootcamp is an accredited 12-weeks project-based and immersive apprenticeship in full-stack data science.
In Asia Pacific (APAC), adoption of artificial intelligence (AI) and machine learning (ML) in financial markets is accelerating. Though organizations in the Americas still lead in terms of AI/ML maturity and investment levels, those in APAC follow closely behind, according to a new research by Refinitiv, a leading provider of financial market data and infrastructure. Refinitiv, which surveyed more than 420 data scientists, quants, technology and data decision-makers, found that 69% of respondents in APAC view AI/ML as a core component of their business strategy, and 78% are making significant investment in AI/ML. COVID-19 is expected to further push adoption of AI/ML. According to the study, 31% of respondents in Asia said that AI/ML has become more important in their organization as a result of the pandemic, and 35% anticipate increased investment in AI/ML amid the public health crisis.
Researchers hacked a robotic vacuum cleaner to record speech and music remotely. A team of researchers demonstrated that popular robotic household vacuum cleaners can be remotely hacked to act as microphones. The researchers -- including Nirupam Roy, an assistant professor in the University of Maryland's Department of Computer Science -- collected information from the laser-based navigation system in a popular vacuum robot and applied signal processing and deep learning techniques to recover speech and identify television programs playing in the same room as the device. The research demonstrates the potential for any device that uses light detection and ranging (Lidar) technology to be manipulated for collecting sound, despite not having a microphone. This work, which is a collaboration with assistant professor Jun Han at the University of Singapore was presented at the Association for Computing Machinery's Conference on Embedded Networked Sensor Systems (SenSys 2020) on November 18, 2020.