Researchers from Leiden, in cooperation with Philips, have won a challenge in which international research groups dedicate themselves to accelerating MRI scans with the help of artificial intelligence (AI). They developed an algorithm with which it is possible to use eight times less data than normal and still reconstruct an MRI image of a knee that is almost as good as one using the usual amount of data. In the fastMRI challenge, organised by the Facebook AI research lab and New York University, artificial intelligence specialists were challenged to apply their knowledge to making MRI scans faster and more efficient. The 34 teams taking part were supplied with a raw data set of a few hundred MRI scans of knees. They also received a number of incomplete data sets.

Making mental healthcare easily accessible to anyone is what led Rima Seiilova-Olson (MSTM '10) to become co-founder of Kintsugi Mindful Wellness, talk therapy software that combines machine learning and voice journaling to tackle stress, anxiety, depression and loss. "There's a big opportunity right now to use artificial intelligence for good. AI is not'summoning the demon' like Elon Musk says. When you're suffering, you need affordable access to help right away," said Seiilova-Olson, who met Kintsugi cofounder Grace Chang at an OpenAI hackathon in San Francisco. They quickly discovered they shared a passion for exploring how technology can help people address their mental health needs. "Some people have expressed their doubts about our idea, but I learned at Gies Business that good ideas often are met with a lot of resistance," said Seiilova-Olson.

Katja Bühler is an Area Coordinator for Complex Systems and Head of the Biomedical Image Informatics Group at the Vienna based Virtual Reality and Visualisation Research Centre VRVis. Before joining VRVis in 2002, she worked as assistant professor at the Institute for Computer Graphics and Algorithms at Vienna University of Technology, where she still acts as external lecturer. She holds a degree in Mathematics from the University of Karlsruhe and a PhD in Technical Sciences (Computer Science) from Vienna University of Technology. Katja Bühler has many years of experience in leading international applied research projects in close cooperation with industry and academia and deepened her knowledge in Strategic R&D Management at INSEAD. In 2012 Katja Bühler and Rainer Wegenkittl received the Austrian science2business award for the management of a successful long term research project with AGFA Healthcare.

The subject of Leonardo da Vinci's famous Mona Lisa painting has been brought to life by AI researchers. The video, achieved from a single photo, shows the model in the portrait moving her head, eyes and mouth. The latest iteration of so-called deepfake technology came out of Samsung's AI research laboratory in Moscow. Some are concerned that the rise of convincing deepfake technology has huge potential for misuse. Samsung's algorithms were trained on a public database of 7,000 images of celebrities gathered from YouTube.

MUMBAI: A report published by India's largest software exporter, Tata Consultancy Services, in association with Confederation of Indian Industry, found that despite the evolution of patent laws, the increasing proliferation of artificial intelligence across the world necessitates new policies for the enforcement of intellectual property rights. "Current patent laws treat AI software inventions as logical algorithms implemented on the computer. While patent eligibility of algorithms is valid, there is little about how to deal with inventions that are heuristic in nature," the report found. In artificial intelligence a'heuristic' is a technique used to solve a problem faster than classic methods. Software is no longer limited to traditional rule-based systems and has increasingly turned heuristic, showing higher intelligence over rule-based systems, it cited.

What are the foundational technologies today on which we are building tomorrow? That was the question Michael Hainsworth, executive producer of Futurithmic, co-host of the Geeks & Beats podcast and former BNN senior anchor and CTV news reporter, asked the audience at a talk billed Future Forward: Three Technologies That Will Change Our World Forever. The presentation was part of the CanaData construction forecasts conference held recently in Toronto. "You look at 5G wireless, artificial intelligence (AI), augmented reality (AR), these are going to be three key technologies for your industry not for the next 10 years, not for the next 20 years, this is the future forever," explained Hainsworth. "These fundamental technologies are going to give us things that today we can't even predict."

Swarms of simple, interacting robots have the potential to unlock stealthy abilities for accomplishing complex tasks. Getting these robots to achieve a true hive-like mind of coordination, though, has proved to be a hurdle. In an effort to change this, a team from MIT's Computer Science and Artificial Intelligence Laboratory (CSAIL) came up with a surprisingly simple scheme: self-assembling robotic cubes that can climb over and around one another, leap through the air, and roll across the ground. Six years after the project's first iteration, the robots can now "communicate" with each other using a barcode-like system on each face of the block that allows the modules to identify each other. The autonomous fleet of 16 blocks can now accomplish simple tasks or behaviors, such as forming a line, following arrows, or tracking light.

According to a new market intelligence report by BIS Research titled'Global Artificial Intelligence (AI) in Agriculture Market Analysis and Forecast, 2019-2024', the artificial intelligence in agriculture market is estimated at $578.0 million in 2019 and is projected to reach $2,015.7 million by 2024. The market is expected to grow at a CAGR of 28.38% from 2019 to 2024. The reported growth in the market is expected to be driven by the increasing need to optimize farm operation planning, growing need to derive insights from emerging complexities of data-driven farming, and rising development of autonomous equipment in agriculture. Browse More than 49 Data Tables and 129 Figures spread through 293 Pages and in-depth TOC on "Global Artificial Intelligence in Agriculture Market" Precision agriculture is a rising phenomenon in the farming industry since the past decade and has been adapted to improve crop yield to meet the global food demand. It involves the application of emerging smart technologies such as artificial intelligence in farming operations to reduce the wastage of resources with precise and variable application of agri-inputs.

The near-term potential of "artificial intelligence" is often overestimated.¹ The potential may be exaggerated in discourse and company strategy, but the risks and difficulties are real. Today, AI refers colloquially to the combination of big data, increased computing capacity, and machine learning algorithms, especially deep learning. Few AI researchers believe that this combination alone will lead to general artificial intelligence.² General AI (that can perform at human levels in all cognitive tasks) is far beyond today's narrow or 3rd-generation AI. Digital devices in our pockets give the appearance of human behavior: names like "Siri" and "Alexa" build on the anthropomorphic sway of the term AI itself.³

There are several challenges that impede the deployment of AI in healthcare. These include a fragmented data landscape that makes access to or sharing of data difficult, a lack of interoperability, and a shortage of incentives for data sharing. To overcome these challenges, MedTech Europe recommends specific policy actions, also in reference to those drafted by the High-Level Expert Group on AI (HLEG).