Artificial intelligence has become a crucial part of our technological infrastructure and the brain underlying many consumer devices. In less than a decade, machine learning algorithms based on deep neural networks evolved from recognizing cats in videos to enabling your smartphone to perform real-time translation between 27 different languages. This progress has sparked the use of AI in drug discovery and development. Artificial intelligence can improve efficiency and outcomes in drug development across therapeutic areas. For example, companies are developing AI technologies that hold the promise of preventing serious adverse events in clinical trials by identifying high-risk individuals before they enroll.

GitHub's annual Octoverse report is out today. It found that Microsoft's Visual Studio Code or VSCode (19.1K), Azure Docs (14K), and Flutter (13K) were the top open source projects in total contributors on GitHub in the last year, followed by projects like Google's TensorFlow (9.9K), Kubernetes (6.9K), and the React Native framework created by Facebook. The annual report that looks at trends and milestones for the code repository acquired by Microsoft last year also found that repositories with topics like "deep learning," "natural language processing," and "machine learning" grew in popularity over the course of the past year. GitHub is now used by more than 40 million developers worldwide, a statistic it first shared this summer.

Redmond, Washington – The first time people don the new HoloLens 2 on their heads, the device automatically gets to know them: It measures everything from the precise shape of their hands to the exact distance between their eyes. The artificial intelligence research and development that enabled those capabilities "was astonishingly complicated" but essential to making the experience of using the device "instinctual," said Jamie Shotton, a partner scientist who leads the HoloLens science team in Cambridge, United Kingdom. "We want you to know how to use HoloLens without having to be taught how to use it," he said. "We know how to interact with things in the real, physical world: We pick things up, we press buttons, we point to things. We aim, as far as possible, to translate that directly into mixed reality."

Tech giant Samsung Electronics kicked off its third annual artificial intelligence forum on Nov. 4 in Seoul, where local and global artificial intelligence experts have gathered to share their research projects and discuss future advancements in the technology. At this year's event, presentations will be delivered on a range of technologies, including deep learning, autonomous driving systems and natural language processing. On the first day of the forum, top-notch researchers in the deep learning sector, including Yoshua Bengio of University of Montreal, Trevor Darrell of UC Berkeley, Cho Kyung-hyeon of New York University and Simon Lacoste-Julien of University of Montreal, delivered lectures and presentations on AI technology. Professor Yoshua introduced a concept of an AI solution learning the world like a child, through meta learning and reinforcement learning, while Darrell talked about the latest research trends in autonomous driving solutions that can make decisions in unexpected, complex situations on their own. "The AI technology is already affecting almost every aspect of our daily lives," said Kim Ki-nam, chief of Samsung Advanced Institute of Technology in his opening speech.

There are three primary solutions for cultivating and maintaining CX: artificial intelligence, omnichannel and continuous intelligence. ORLANDO, Fla. -- Customer experience (CX) is not another name for customer service or even user experience. CX is a digital strategy that CIOs often overlook. "Everyone is in the customer economy," said Gene Alvarez, distinguished VP analyst at Gartner, while speaking at the Gartner IT Symposium/Xpo in Orlando, Florida, in October. Government CIOs are servicing citizens, banks have clients and the military has soldiers, for example.

Over the last few years, the technology market has witnessed many new and emerging technologies that are making their way straight into the mainstream industries. Among this Artificial Intelligence is one of the technologies which is contributing more to every industry. The exciting fact about AI is, This uses human-level intelligence with the concept of machine learning. These are a few of many revenue-generating proportions of artificial intelligence that are also contributing to the enterprise mobile app development market. Artificial Intelligence is making many machines capable of learning and interacting in a manner similar to that of human beings.

Over the last few years, the technology market has witnessed many new and emerging technologies that are making their way straight into the mainstream industries. Among this Artificial Intelligence is one of the technologies which is contributing more to every industry. The exciting fact about AI is, This uses human-level intelligence with the concept of machine learning. These are a few of many revenue-generating proportions of artificial intelligence that are also contributing to the enterprise mobile app development market. Artificial Intelligence is making many machines capable of learning and interacting in a manner similar to that of human beings.

Data science features significantly when you talk about high paying future jobs. To understand what's driving this trend, which experts say will only grow bigger with time, you have to know how the technology landscape has experienced tremendous growth and undergone a sea change over the last few years, thanks to a high degree of reliability on computer programs, data-based analysis, and digital technology. Working with huge sets of data and making data-driven decisions, in particular, have become a norm in most sectors -- from banks and fintech to transportation, IT, and more. After all, almost each interaction with technology has data at its core. Thus, be it your online purchase at marketplaces like Amazon, streaming recommendations for you on Netflix or Amazon Prime, your Facebook feed, or even the facial recognition necessary to sign into your phone, almost everything leverages data to perform certain operations.

Enjoy dinner drinks and a chance to meet… Leslie Nooteboom is Co-founder & Chief Product Officer of Humanising Autonomy, an AI tech startup with $6m funding, on a mission to improve human interaction with autonomous vehicles. Humanising Autonomy build human-centered tools that define how autonomous systems will interact with people. Their pedestrian intent prediction platform makes autonomous vehicles safer and more efficient in urban environments, with the aim of making cities more pleasant for every type of vulnerable road user. This dinner is perfect for… Startup founders and management level at startups working on AI, smart cities and/or sustainability solutions. This dinner is open to a limited number of service providers / advisors (unless a TableCrowd partner).

The American Civil Liberties Union (ACLU) is pressing forward with a lawsuit involving the facial recognition software offered by Amazon and Microsoft to government clients. In a complaint filed in a Massachusetts federal court, the ACLU asked for a variety of different records from the government, including inquiries to companies, meetings about the piloting or testing of facial recognition, voice recognition, and gait recognition technology, requests for proposals, and licensing agreements. At the heart of the lawsuit are Amazon's Rekognition and Microsoft's Face API, both facial recognition products that are available for customers of the companies' cloud platforms. The ACLU has also asked for more details on the US government's use of voice recognition and gait recognition, which is the automated process of comparing images of the way a person walks in order to identify them. Police in Shanghai and Beijing are already using gait-analysis tools to identify people.