Ray Dalio’s Bridgewater Associates and Jim Simons’ Renaissance Technologies beat their rivals in a tough year for hedge funds in 2018, making a combined $13 billion for their investors, according to Bloomberg; the profits accounted for more than half the money generated by the top 20 managers last year.

It is not a coincidence that Bridgewater Associates and Renaissance Technologies are the funds with the most experience with machine learning, the most successful approach to artificial intelligence today, says Edgar Perez.  Bridgewater is going as far as to attempt to automate its internal management processes to ensure the longevity of its $150 billion under management.

Perez is visiting New York City, Mumbai, Dubai, Singapore, Kuala Lumpur, London, Mexico City, and Hong Kong to offer cutting-edge programs on Cybersecurity, Quantum Computing and Deep Learning / Artificial Intelligence:

The Cybersecurity Workshop for Today’s Strategic Leaders will bring top executives up to speed on the most recent technologies and battle-tested approaches to protect their companies’ valuable information and intellectual property from prying eyes of hackers and competitors, and leverage their cyber success in both cultivating stronger relationships with current and new clients and safeguarding the interests of all stakeholders, partners and employees.

The Quantum Computing Workshop for Today’s Strategic Leaders will show CEOs how to learn to harness the opportunities unveiled by Quantum Computing, how to identify challenges and how to prepare their organizations for what the future holds. Powerful quantum computers will model all 19,000+ proteins in the human genome and simulate how new drugs can cure everything from the common cold to cancer.

The Deep Learning / Artificial Intelligence Workshop for Today’s Strategic Leaders focuses on practical applications of artificial intelligence for businesses using TensorFlow, the most widely-used deep learning framework from Google. Deep learning is already impacting every part of business today; in fact, PwC has warned that automation could replace 38% of all American jobs by 2030. Deep learning will continue to be a rich source of insights from ever-growing data sets being evaluated by powerful algorithms, enabling companies to make better decisions.

ABOUT CYBERSECURITY

As information technology becomes ever more complex and Internet usage increasingly widespread, cybersecurity is becoming an increasingly important and business-critical field. Unfortunately, most organizations are not prepared to handle cybersecurity threats. In fact, 66% of IT and security professionals say that their firms are unprepared to recover from a cyber attack. A key example of this unpreparedness is the fact that many of the companies impacted by the recent WannaCry attack didn’t install critical updates into their Windows infrastructure that had been released by Microsoft months before.

Attempting to disrupt the landscape of technologies focused on cybersecurity is artificial intelligence and, more specifically, deep learning. Taking the flexibility and thinking capacity of the human mind, digitizing it, and creating a genius system faster, more consistent and potentially more capable than any human brain, deep learning is now plowing through colossal mountains of data, often in real time, to uncover new and often unexpected relationships, providing unique insights into threats, and empowering improvements to machine learning models and mitigation processes. One of the benefits of these technologies will be to enable analysts or threat responders to focus on the half-dozen critical events of the day (rather than distill 50,000 erroneous alerts generated each day).

ABOUT ARTIFICIAL INTELLIGENCE AND DEEP LEARNING

Deep Learning is the most leveraged Artificial Intelligence approach today and involves algorithms by which computers train themselves using multi-layered neural networks (inspired by the human brain) and vast quantities of data.

Deep Learning allows computational models that are composed of multiple processing layers to learn representations of data with multiple levels of abstraction. These methods have dramatically improved speech recognition, visual object recognition, object detection and many other domains such as drug discovery and genomics.

Deep Learning effective and efficiently discovers intricate structure in large data sets by using algorithms to indicate how a machine should change its internal parameters that are used to compute the representation in each layer from the representation in the contiguous layer, which has brought about breakthroughs in processing images, video, speech, audio, and financial data.

ABOUT QUANTUM COMPUTING

Today's computing machinery, which has brought incredible technological innovations over the past decades, still relies on calculations with 1s and 0s, even if the devices are orders of magnitude smaller than the stadium-sized systems of the previous century. Quantum Computing (QC), computing technology’s next generation, holds the promise of new machines operating at one million times the speed of current computers, allowing scientists, for example, to model complex molecular interactions at an atomic level.

QC’s benefits include efficiently simulating much larger molecules, effectively minimizing the overhead to run complex logistical operations and dramatically reducing the time for advanced portfolio construction optimization, among many other applications.

Furthermore, in the same way, that combustion engines and microprocessors once redefined entire industries, QC heralds today the advent of as yet unimagined realms, while also opening new radical avenues for existing industries, such as finance, pharma, oil and gas, and even the acceleration of artificial intelligence.

Source : https://www.prurgent.com/2019-01-28/pressrelease452170.htm