In the midst of the recent Covid-19 pandemic and the changes in the global business environment that followed, executives have faced many disruptive forces, including changing attitudes and expectations among their customers, tougher global competition, and redundancy or erosion of existing business models.
Zentane Systems have developed artificial intelligence to identify antiviral compounds that merit further study as possible pharmaceutical treatments for COVID-19.
Our work aims to discover the underlying associations between amino acid sequences of viral proteins and antiviral agents that are effective against them using the artificial intelligence technology of artificial neural networks (ANN).
The AI Community brings together hackers, doctors and biologists to build tech solutions addressing the global pandemic.
- SingularityNET and Ocean Protocol come together to leverage AI for social impact and launch DAIA’s first hackathon.
- Backed by world-class experts in data privacy, artificial intelligence, genetics, healthcare, blockchain.
- The eight-week hackathon features four tracks including Data Privacy, Epidemiology & Medicine, Informational & Coping Tools, and Open Innovation.
Even though the AI acronym is on the lips of every data scientist, IT manager and developer hungry for new technologies, the term has its origins around the middle of the last century. After the first reference to AI in the late 1950’s, a couple of years passed before people could grasp what it was really about, and got a taste of what it was.
In the late seventies, we became aware of the notion of artificial intelligence through the well-known Star Wars, Terminator, Robocop, Alien and Blade Runner movies. Above and beyond the blend of science fiction and action, these movies depict visionary scenarios involving AI and its various components. This era coincides with the decreasing cost of AI computing, and its increasing accessibility.
Jana Novohradska, AI Consultant to Deputy Prime Minister`s Office of Slovakia & Gender Equality Rapporteur CAHAI Council of Europe, is one of the panelists on our 'Governing AI' panel at World Summit AI Americas in Montreal. We caught up with her ahead of the summit.
He may only be 13, but Artash Nath has already been working at the interface of space, robotics and artificial intelligence for the last few years, presenting his projects at multiple international conferences. He is interested in deep space exploration and has been applying machine learning models to space challenges, including predicting risk index of an asteroid collision with Earth and detecting atmospheres of exoplanets using simulated data from space telescopes. His ongoing project is on creating curious and intelligent machines that learn by being placed in an immersive environment. They make efforts to understand cause and effect and are not hesitant to ask “why”.
Over the past 25 years, computers have slowly encroached into the domain of human intellect, the machines first victory was in 1997 when Kasparov lost to Deep Blue at Chess1. Since then A.I. have continued to expand the games they can beat us at, from Go to Poker, and Shogi to Starcraft2. These achievements of machine learning, whilst shockingly impressive, are in stark contrast to the failures of A.I. in the real world.
Werner Vogels, VP & CTO at Amazon will take to the stage for the opening headline session on day two at World Summit AI 2019 (Thursday 10th October) and ahead of their appearance we asked Werner a few questions about Amazon’s approach to machine learning, AI use for enterprise and which industry is being revolutionised by AI adoption. Read on for the full Q&A.
If AI is to gain people’s trust, organisations should ensure they are able to account for the decisions that AI makes, and explain them to the people affected. Making AI interpretable can foster trust, enable control and make the results produced by machine learning more actionable. How can AI-based decisions therefore be explained?
Having information is key. Understanding the right information is a success.
And these are the two features where artificial intelligence seems to be winning over human capabilities in stock picking.