Tag: AI

Google’s AI: From DeepMind to One Model

One of the most memorable events in AI history was IBM’s Deep Blue beating chess champion Garry Kasparov. In March 2016 history was rewritten as Google’s AlphaGo beat Go master Lee Sedol, then in May 2017 beating Go champion Ke Jie. Although AlphaGo’s win was all over the news and reached many people with its… Read more Google’s AI: From DeepMind to One Model

AI: Cloud, Edge or Hybrid?

One of the biggest trends in technology (and the world!) right now is Artificial Intelligence, especially Deep Learning.  Availability of huge quantities of data, data storage and processing power at low cost, algorithm innovation and the availability of AI toolkits like Caffe, Torch and TensorFlow have all contributed to the explosive adoption of AI in… Read more AI: Cloud, Edge or Hybrid?

Multi-cloud: The New Normal

Mr.Carl Eschenbach of Sequoia Capital mentioned in his guest lecture about a Cloud OS that can move workloads around different clouds and also how AI can be used as a unique selling point for cloud vendors to differentiate themselves from their competition. This blog post will firstly give an overview of current cloud technologies then… Read more Multi-cloud: The New Normal

Brains vs computers?

Computers are incredibly fast, accurate, and stupid. Human beings are incredibly slow, inaccurate, and brilliant. Together they are powerful beyond imagination.” Quote attributed to Albert Einstein. This article aims at introducing the ambiguous relationship between human brains and modern computers. Brains vs computers How different are they? How can one help another? Although they both… Read more Brains vs computers?

AI: where it's at and where it's headed

Over the past few years, artificial intelligence has been a hot topic surrounded by excitement and uncertainty regarding how the rise of intelligent machines could change our lives. When most people think about AI, they tend to picture a supercomputer capable of performing any given task considerably better and faster than any human could. Having… Read more AI: where it's at and where it's headed

Rise of Social Analytics in the Auto Insurance Industry

Background: Increasingly, companies are starting to find value in social media data, including Twitter, Facebook, Reddit and other social data sources by employing robust filtering techniques and machine learning algorithms to uncover the signal within the noise. Then, they often correlate financial data with social media conversations to add value to their business. This is… Read more Rise of Social Analytics in the Auto Insurance Industry

An Introduction to Quantum Computing

The traditional computer is made up of billions of transistors, which are turned on and off to store what is known as a ‘bit’. These bits are placed together in 8’s to form bytes, which are then packaged as kilobytes and so on. The more complex a command is the greater the number of bits… Read more An Introduction to Quantum Computing

Law Enforcement Agencies

As the world gathers this weekend in Singapore for the Annual  Interpol  World Congress to discuss law enforcement cooperation, we are all reminded of the impact of AI/IoT/Cloud/Big Data technology in advancing law enforcement. The policing landscape is changing very fast: the summary below looks at covering some of the emerging trends in law enforcement.… Read more Law Enforcement Agencies

AI and Automation to Claim Public Sector Jobs in the Future

There are over 340 California state agencies employing over 200,000 people full-time. Monthly, this equates to over $1.8B in gross wages (http://sco.ca.gov/ppsd_empinfo_demo.html). California, along with many other states in the country, constantly struggle to balance annual budgets while minimizing budget deficit. The obvious question arises of whether artificial intelligence and automation will claim public sector jobs… Read more AI and Automation to Claim Public Sector Jobs in the Future

New Product breakthroughs with recent advances in deep learning and future business opportunities

Even though artificial intelligence was introduced in the early fifties, It has only been made attainable very recently thanks to the recent advances in deep learning, artificial neural networks, increased performance of transistors, latest advancements in GPUs, TPUs, and CPUs. Before going over the role of artificial intelligence (AI) and machine learning (ML) in Google… Read more New Product breakthroughs with recent advances in deep learning and future business opportunities