If you are looking for an answer to the question What is Artificial Intelligence? and you only have a minute, then here's the definition the Association for the Advancement of Artificial Intelligence offers on its home page: "the scientific understanding of the mechanisms underlying thought and intelligent behavior and their embodiment in machines."
However, if you are fortunate enough to have more than a minute, then please get ready to embark upon an exciting journey exploring AI (but beware, it could last a lifetime) …
LONDON – Facebook CEO Mark Zuckerberg met top European Union officials on a visit to Brussels on Monday, days before the bloc is expected to release new proposals on regulating artificial intelligence. The billionaire social network founder is the latest U.S. tech executive to make the trip to the headquarters of the EU, which is becoming an increasingly important player in technology regulation. Zuckerberg's visit came as the company warned that potential regulation risked stifling innovation. Zuckerberg met Margrethe Vestager, the EU's powerful executive vice president in charge of making Europe "fit for the digital age." He also had audiences with Thierry Breton, commissioner for the internal market, and Vera Jourova, vice president for values and transparency.
Smart speakers, like Amazon's Alexa and Apple's Siri, have come under fire over the past few years for'listening' to its owner's conversations. Now, a team of scientists believe they have developed the ultimate weapon to block the devices' spying abilities - a wearable that jams the microphone. Dubbed the'bracelet of silence', the chunky bracelet is fitted with 23 speakers around it that emit ultrasonic signals that drown out any speech of the wearer. While these ultrasonic signals are undetectable to human ears, they leak into the audible spectrum after being captured by the microphones, producing a jamming signal inside the microphone circuit disrupts voice recordings. Scientists developed the ultimate weapon to block the devices' spying abilities - a wearable that jams the microphone.
Self-driving electric vehicles that change colour could be seen hitting the roads by 2050, automotive firm Auto Trader has claimed. Their predictions for the car of the future have been guided by so-called'futurologist' Tom Cheesewright and a survey of more than 2,000 UK drivers. They think the car of 2050 will include an all-electric cabin fitted with 360 panoramic glass windows and body panels that will change colours. Auto Trader has revealed how it envisions how the future of driving will look like in the year 2050. It includes an all-electric cabin fitted with 360 panoramic glass windows and body panels that will change colours (pictured, artist's impression) The 2050 car would supposedly come with fitted with windows that extend into the roof to form a large bubble.
A former Amazon Executive revealed he switches off his Alexa smart speaker whenever he wants a'private moment' as he doesn't want it listening in. Robert Frederick, a former manager at Amazon Web Services, told BBC Panorama he always turns it off during personal and particularly sensitive conversations. Last year Amazon was forced to admit that some conversations recorded by virtual assistant Alexa were listened to and transcribed by humans. Amazon says human staff listen to less than on per cent of conversations to check for accuracy and the information is made anonymous before they see it. Amazon's Alexa is being placed in an increasing number of devices including televisions, smart speakers and screens The investigative journalism programme is exploring Amazon's rise from online bookstore to tech giant as well as the way it collects data from its customers.
Microsoft founder Bill Gates thinks artificial intelligence and gene therapy are the two technologies with the greatest power to change lives. In a speech Friday at the American Association for the Advancement of Science, Gates said AI can "make sense of complex biological systems," while gene-based tools have the potential to cure AIDS. The potential of AI is only just being realized now, the billionaire philanthropist said, with computational power doubling every three and a half months. Along with improvements in handling data, Gates said it's enabling "the ability to synthesize, analyze, see patterns, gain insights and make predictions across many, many more dimensions than a human can comprehend." Gates said the most exciting part of AI "is how it can help us make sense of complex biological systems and accelerate the discovery of therapeutics to improve health in the poorest countries."
One of the most exciting things in machine learning (ML) today, for me at least, is not at the bleeding-edge of deep learning or reinforcement learning. Rather it has more to do with how models are managed and how data scientists and data engineers effectively collaborate as teams. Navigating those waters will lead organisations towards a more effective and sustainable application of ML. Sadly, there is a divide between "scientist" and "engineer." "Building production machine learning applications is challenging because there is no standard way to record experiments, ensure reproducible runs, and manage and deploy models," says Databricks.
At H2O.ai, we believe that our strength is rooted in our open source background and machine learning components that are effectively an industry standard, with many other platforms integrating them. We believe we have built on the strength of our open source offering with an innovative Automatic Machine Learning platform with rich explainability functionality, H2O Driverless AI. As the vendor with the strongest completeness of vision of the 16 vendors evaluated in Gartner's 2020 Magic Quadrant for Data Science and Machine Learning Platforms, H2O.ai continues to drive the AI industry forward and accelerate AI adoption in the enterprise with its innovation, roadmap and vision. February 2020 Gartner Magic Quadrant for Data Science and Machine Learning Platforms, Peter Krensky, Pieter den Hamer, Erick Brethenoux, Jim Hare, Carlie Idoine, Alexander Linden, Svetlana Sicular, Farhan Choudhary, 11 February 2020 Disclaimer: This graphic was published by Gartner, Inc. as part of a larger research document and should be evaluated in the context of the entire document. The Gartner document is available upon request from H2O.ai.
Integrated Health Information Systems (IHiS), the national HIT agency in Singapore, has partnered with local healthcare AI startup KroniKare to pilot iThermo – an AI-powered temperature screening solution that screens and identifies those having or showing symptoms of fever. With the growing threat of the COVID-19 (which was recently renamed by the WHO, formerly known as 2019-nCOV), Singapore has officially raised its'Disease Outbreak Response System Condition' (DORSCON) alert level from yellow to orange on 7 February. The DORSCON orange status means that the COVID-19 disease spread in the country is severe but contained. As of 13 February, there are 58 confirmed cases of the disease. As part of the DORSCON orange status, temperature screening and monitoring becomes mandatory for most public spaces.
Researchers have developed an artificial neural network using deep learning to identify genes that are related to disease. An artificial neural network has revealed patterns in huge amounts of gene expression data and discovered groups of disease-related genes. The developers, from Linköping University, Sweden, hope that the method can eventually be applied within precision medicine and individualised treatment. The scientists created maps of biological systems based on how different proteins or genes interact with each other. Using artificial intelligence (AI), they investigated whether it is possible to discover biological networks with deep learning, in which entities known as artificial neural networks are trained by experimental data.
The theme is machine learning. We hope this is broad enough to let you take it where you want, from open data benchmarks to model for predicting fractures, or maybe you have some data for a predictive maintenance project, or want to look for trends in production time series. We will spend the first hour or so of the event defining projects and forming teams, so come ready to brainstorm!