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) …
As 2020 has clearly shown us, nobody can actually predict the future. But there are some people who come pretty close, and their profession may surprise you. Data scientists (yes, you read that right) can practically predict the future of certain industries using big data and a coding language called Python. Knowing that, it's not hard to see why Glassdoor named data scientists the third most desired job in the US, with over 6,500 openings, a median base salary of $107,801, and a job satisfaction rate of 4.0. If you're looking for a new career path with a handsome salary and the ability to basically predict the future, check out this e-book and course bundle to get started.
TL;DR: Create your own 3D video game with The Complete GameGuru Bundle for $29.99, an 85% savings as of July 2. Every video game fan, at some point, has dreamt of making their own. But, of course, there are quite a few obstacles to such a dream. Fortunately, a lack of programming skills doesn't have to be one of them. With the Complete GameGuru Bundle, even complete coding novices can create their very own 3D video games. Designed for gaming enthusiasts without programming or design expertise, GameGuru is a non-technical and fun game maker that makes the game creation process easy and enjoyable.
Nowadays it's hard to find a single industry where machine learning and data science aren't being used to improve productivity and deliver results. Indeed that is why people are so excited about the promise of artificial intelligence: it can be applied to so many diverse problem spaces effectively and it works! This list has been aggregated after analyzing over 200 company descriptions, and we've broadly organized them by the problem domain being tackled and have included a brief description of their mission. TLDR: A framework for providing data integrations and web interfaces for trained machine learning models. TLDR: Develops medical imaging tools powered by AI to help improve the efficacy of radiologists in detecting illnesses.
The Chinese new car market has been topsy turvy lately, primarily because the government keeps playing around with its NEV (new energy vehicle) incentive program. China really, really wants people to buy electric cars -- either plug-in hybrids or battery electrics -- but found its original incentive program was costing too much money. So it modified the program, several times in fact, which caused confusion among car companies and customers. In general, people who are confused postpone buying decisions until things get clearer, and that's exactly what Chinese new car shoppers did. The second factor, of course, was production shutdowns caused by the coronavirus pandemic.
Ask these four questions to tell if your AI solution is really AI. In a world where buzzwords come and go, artificial intelligence has been remarkably durable. Since it first emerged as a concept in the 1950s, there has been a relatively constant flow of technologies, products, services, and companies that purport to be AI. It is quite likely that a solution you are investing in today is being referred to as AI-enabled or machine-learning-driven. The reality today for most organizations is that AI and machine learning form a rather small piece of the overall analytics pie.
All types of organizations are implementing AI projects for numerous applications in a wide range of industries. These applications include predictive analytics, pattern recognition systems, autonomous systems, conversational systems, hyper-personalization activities and goal-driven systems. Each of these projects has something in common: They're all predicated on an understanding of the business problem and that data and machine learning algorithms must be applied to the problem, resulting in a machine learning model that addresses the project's needs. Deploying and managing machine learning projects typically follow the same pattern. However, existing app development methodologies don't apply because AI projects are driven by data, not programming code.
Breed Reply, a European investor in early-stage Internet of Things (IoT) businesses, has increased its investment in Dutch agritech company, Connecterra. As part of its Series B funding round, Connecterra has secured €7.8 million from existing investors, Breed Reply and Sistema, alongside new investors including AgTech specialists ADM Capital, French food safety enterprise Kersia Group and Dutch impact investor, Pymwymic. The Series B funding round completed by Connecterra is the largest ever Series B investment raised by a European livestock tech company. The funding will be used to accelerate the development of Connecterra's predictive artificial intelligence (AI) platform, Ida. Ida is the first digital assistant for the dairy farmer, based on sensor technology, cloud computing and machine learning.
Whether or not your organisation suffers a cyber attack has long been considered a case of'when, not if', with cyber attacks having a huge impact on organisations. In 2018, 2.8 billion consumer data records were exposed in 342 breaches, ranging from credential stuffing to ransomware, at an estimated cost of more than $654bn. In 2019, this had increased to an exposure of 4.1 billion records. While the use of artificial intelligence (AI) and machine learning as a primary offensive tool in cyber attacks is not yet mainstream, its use and capabilities are growing and becoming more sophisticated. In time, cyber criminals will, inevitably, take advantage of AI, and such a move will increase threats to digital security and increase the volume and sophistication of cyber attacks.
Digital health technologies are critical tools in the ongoing fight against the global COVID-19 pandemic. Artificial Intelligence (AI), big data, 5G and robotics can provide valuable and innovative solutions for patient treatment, frontline protection, risk reduction, communications and improved quality of living under lockdown as the world continues to battle the COVID-19 pandemic. Last week's AI for Good webinar, 'COVID-19: China's digital health strategies against the global pandemic,' presented different use cases from China's digital health strategy, and provided context for how AI and information and communication technologies (ICT) has supported healthcare and citizen needs for the world's most populous nation. Following the start of the COVID-19 outbreak in January 2020, China implemented a wide-reaching strategy to control and contain the virus. "With various available technologies, we [ICT engineers] can actually play a very positive supporting role in fighting the current virus," said Shan Xu, an engineer in the Smart Health Department at the China Academy of Information and Communications Technology (CAICT).
One of the things humans have plotted for centuries is escaping death, with little to show for it, until now. One startup called Humai has a plan to make immortality a reality. The CEO, Josh Bocanegra says when the time comes and all the necessary advancements are in place, we'll be able to freeze your brain, create a new, artificial body, repair any damage to your brain, and transfer it into your new body. This process could then be repeated in perpetuity. HUMAI stands for: Human Resurrection through Artificial Intelligence.