The Peggy Smedley Show: Voice Leads Business


Peggy and Chris Vandersluis, president and founder, HMS Software, talks about how voice is leading the way in how enterprises function. He explains that using technology has become natural now and will be the default in business. They also discuss privacy and security considerations.

Artificial intelligence yields new antibiotic


Using a machine-learning algorithm, MIT researchers have identified a powerful new antibiotic compound. In laboratory tests, the drug killed many of the world's most problematic disease-causing bacteria, including some strains that are resistant to all known antibiotics. It also cleared infections in two different mouse models. The computer model, which can screen more than a hundred million chemical compounds in a matter of days, is designed to pick out potential antibiotics that kill bacteria using different mechanisms than those of existing drugs. "We wanted to develop a platform that would allow us to harness the power of artificial intelligence to usher in a new age of antibiotic drug discovery," says James Collins, the Termeer Professor of Medical Engineering and Science in MIT's Institute for Medical Engineering and Science (IMES) and Department of Biological Engineering.

NASA image reveals remains of an ancient lake that stretched across the Sahara 7,000 years ago

Daily Mail - Science & tech

NASA shared an eerie image of what was once a lake larger than the Caspian Sea in central Africa. Called Mega Chad, this massive body of water stretched 150,000 square miles across the Sahara and would have been the largest on Earth today. Modern Lake Chad is just a fraction of its former size and sits inside the ancient body of water's shoreline that is still etched into the desert landscape. The image highlights the dark lower-elevations of the area, along with sand spits and beach ridges that formed along Lake Mega Chad's northeastern shores. NASA shared an eerie image of what was once a lake larger than the Caspian Sea in central Africa.

Can AI flag disease outbreaks faster than humans? Not quite

The Japan Times

BOSTON – Did an artificial-intelligence system beat human doctors in warning the world of a severe coronavirus outbreak in China? But what the humans lacked in sheer speed, they more than made up in finesse. Early warnings of disease outbreaks can help people and governments save lives. In the final days of 2019, an AI system in Boston sent out the first global alert about a new viral outbreak in China. But it took human intelligence to recognize the significance of the outbreak and then awaken response from the public health community.

Poets&Quants Carrying The Torch Of Disruption Forward


Clayton Christensen, author of The Innovator's Dilemma and a Harvard Business School professor, died last month. Normally, this word suggests a negative connotation. The talkative student was disruptive to the rest of the class, or the reckless driver was disruptive to the flow of traffic. lists the following words as related to disruptive: upsetting, disturbing, troublesome, rowdy, troublemaking. Yet this word is used routinely in society and business, often with a positive, or at least neutral, connotation.

An Introduction to Unity ML-Agents


The past few years have witnessed breakthroughs in reinforcement learning (RL). From the first successful use of RL by a deep learning model for learning a policy from pixel input in 2013 to the OpenAI Dexterity program in 2019, we live in an exciting moment in RL research. Consequently, we need, as RL researchers, to create more and more complex environments and Unity helps us to do that. Unity ML-Agents toolkit is a new plugin based on the game engine Unity that allows us to use the Unity Game Engine as an environment builder to train agents. From playing football, learning to walk, to jump big walls, to train a cute doggy to catch sticks, Unity ML-Agents Toolkit provides a ton of amazing pre-made environment.

Semi-supervised learning with Generative Adversarial Networks - KDnuggets


This post is part of the "superblog" that is the collective work of the participants of the GAN workshop organized by Aggregate Intellect. This post serves as a proof of work, and covers some of the concepts covered in the workshop in addition to advanced concepts pursued by the participants. The original GAN (Goodfellow, 2014) ( is a generative model, where a neural-network is trained to generate realistic images from random noisy input data. GANs generate predicted data by exploiting a competition between two neural networks, a generator (G) and a discriminator (D), where both networks are engaged in prediction tasks. G generates "fake" images from the input data, and D compares the predicted data (output from G) to the real data with results fed back to G. The cyclical loop between G and D is repeated several times to minimize the difference between predicted and ground truth data sets and improve the performance of G, i.e., D is used to improve the performance of G.

Global Big Data Conference


Is the success of Google that of the algorithms or that of data? Today's fascination with artificial intelligence (AI) reflects both our appetite for data and our excitement about the new opportunities in machine learning. Here, I argue that newcomers to the field of data science are blinded by the shiny object of magical algorithms -- and that they forget the critical infrastructures that are needed to create and to manage data in the first place. There are now many companies that provide AI services. An attractive offer should affirm all of the above -- the sole expertise in analyses and algorithms is generally insufficient, as it does not necessarily address the data part of the equation.

Microsoft announces a $1.1 billion investment plan to drive digital transformation in country including its first cloud datacenter region - News Center Latinoamérica


The main pillar of the plan is focused on accelerating Mexico's digital transformation through democratizing the access to technology. The company announced plans to establish a new cloud datacenter region in Mexico to deliver its intelligent and trusted cloud services to serve Mexico's public entities, organizations and Mexican society, including Microsoft Azure, Office 365, Dynamics 365 and the Power Platform. This datacenter region is an important part of Microsoft's $1.1 billion investment plan in Mexico over the next five years. The plan also includes a robust education and skilling program with different initiatives the first one being the creation of three laboratories and a virtual classroom, in collaboration with public universities to create an education platform for digital skills, to expand employability in future generations. The first initiative of the commitment to apply artificial intelligence to create societal impact is an investment in the project "Artificial Intelligence to Monitor Pelagic Sharks in the Mexican Pacific Ocean" (Shark ID), focused on the conservation of Mako shark species, driven by Mexico Azul, as part of the initiative AI for Earth, creating societal impact.

6 European cities seek carbon emission-cut with AI


Six European cities – Helsinki, Amsterdam, Copenhagen, Paris, Stavanger, and Tallinn – join forces in a new project named AI4Cities. The project challenges enterprises, researchers and others to develop solutions utilising artificial intelligence (AI) to generate cuts to carbon dioxide emissions, said the City of Helsinki in a press release. Helsinki emphasises utilisation of data and AI in its digitalisation programme to achieve the city's climate goals. The participating cities' respective programmes to cut carbon dioxide emissions emphasise emissions from transport and housing. Consequently, the AI4Cities Project focuses on emissions generated from transport and traffic as well as the energy consumption by buildings.