There are many opinions about how Artificial Intelligence (AI) is going to change the world with expectations about its capabilities for now and in the future. AI simply refers to intelligence displayed by machines in contrast to that displayed by humans. Although humans are intelligent, they cannot be programmed to exceed their current capabilities in the same way a machine can. This has led to the creation of smart machines that handle tasks otherwise difficult for humans to handle efficiently. Artificial intelligence is gradually becoming a constant presence in many technological applications.

We first learned that it was a missile that took down a Ukrainian airliner over Iran because of this video showing the moment of impact. All 176 people on board were killed. To find out what happened to Flight 752 after it left Tehran airport on Jan. 8, we collected flight data, analyzed witness videos and images of the crash site, to paint the clearest picture yet of that disastrous seven-minute flight. We'll walk you through the evidence, minute by minute, from the plane's takeoff to the moment it crashed. Iran has just launched ballistic missiles at U.S. military targets in Iraq in retaliation for an American drone strike that killed Iranian military leader Qassim Suleimani.

Smart utility metering for power, gas and water, and video surveillance will remain by far the largest smart city segment, representing 87 per cent of the total number of smart city connections by 2026. This is according to new analysis by ABI Research. While metering is mainly focused on usage monitoring, savings and efficient operation of utility networks, video surveillance is no longer just about security and crime detection and prevention, ABI Research's Smart Cities market data report finds. Video surveillance is increasingly enabling new applications like urban tolling and the monitoring of low-emission zones to reduce air pollution, mainly in Europe. These systems use licence plate recognition to identify older vehicles banned from entering the zone.

The advent of artificial intelligence (AI) has brought a host of technologies that make everyday tasks easier. The most widely used examples include providing more relevant internet searches, predicting the next word in a text message, identifying the face in a photo on social media, and routing commuters around trouble spots in traffic. The AI discipline of deep learning also has the potential to revolutionize healthcare in ways that researchers are only beginning to explore. A recent announcement by Alphabet's (NASDAQ:GOOGL)(NASDAQ:GOOG) Google highlights one example of how research is taking leaps ahead as physicians begin using AI as a tool. A study published in the scientific journal Nature showed that Google's AI system could detect breast cancer in mammograms more accurately than human radiologists.

NRF 2020: Retail's Big Show is the central theme of the world's largest retail conference and expo currently happening in New York. The conference has become the powerhouse where we are witnessing the announcement of significant partnerships and the launch of cutting-edge technologies to strengthen connections between consumers and brands and empowering them to create an ever-lasting relationship with their customers. One such example of an impressive partnership at NRF was seen between Microsoft and SAP. They are all set to modernize and simplify the journeys of their retail customers as they move to the cloud while becoming an intelligent enterprise. Let's explore some innovation scenarios showcasing how the partnership between Microsoft and SAP will lay the foundation of groundbreaking retail concepts that will inspire retailers and delight consumers in 2020.

Technology commentators are predicting that 2020 is going to see an acceleration of new tech entering the market including 5G wireless connectivity, blockchain technology (beyond cryptocurrency) and AI/ML. While each of these technologies has its own applications, what's more, interesting is how they can work together, especially with IoT already moving out of the hype cycle and entering a phase of rapid growth. Here is IoT in 2020 and how it's all coming together. How are the new technologies going to impact on the IoT? We may not have a crystal clear picture yet but we are in a position where we can start making some confident sketches.

Machine learning is a trendy topic in this age of Artificial Intelligence. The fields of computer vision and Natural Language Processing (NLP) are making breakthroughs that no one could've predicted. We see both of them in our lives more and more, facial recognition in your smartphones, language translation software, self-driving cars and so on. What might seem sci-fi is becoming a reality, and it is only a matter of time before we attain Artificial General Intelligence. In this article, I will be covering Jeff Dean's keynote on the advancements of computer vision and language models and how ML will progress towards the future from the perspective of model building.

The report also identified several sectors that could benefit from increased AI adoption and development, including precision agriculture, public safety and public health. To avoid infringing on civil liberties and reductions in employment as the technology develops, however, the task force would need to be made permanent, the report says. Task force member Eugene Santos Jr., a Dartmouth College engineering professor, said the idea is to create an independent agency that government officials and the public could go to with ideas, questions and concerns about the technology.

One theme of Refik Anadol's work is the symbiosis and tension between people and machines. Giant stashes of data are valuable assets to corporations in industries from fossil fuels to finance. Artist Refik Anadol sees pools of data as something else--material for what he calls a new kind of "sculpture." Anadol creates mesmerizing art installations by seeking out interesting data sets and processing them into swirling visualizations of how computers capture the world and people in it. He uses machine learning algorithms to filter or expand on his raw material.

Our results show that it is possible to train an AI system to detect and grade prostate cancer on the same level as leading experts,