past few year

5 AI Trends to Know in 2018


It wasn't so long ago that artificial intelligence was reserved to the realm of science fiction according to the public. Skip ahead to 1997 and IBM's Deep Blue brought real artificial intelligence into the public eye when it bested Chess Grandmaster Garry Kasparov in 2 matches(though losing the series 4-2). Fast-forward to last year and AI has beat the masters in virtually every game you can think of, including Go(which is both older and more difficult than Chess). From mastering games to contemplating the meaning of life, AI has made major strides in recent years. A fully developed, self-teaching AI unit is no longer a dream, it has transitioned into an inevitability with the only real question being "who will get their first?"

From Expanded Uses of Blockchain to the Mainstreaming of Machine Learning, Here Are 5 Emerging Business Trends to Watch in 2018


This has been a big year for the business world. Topics that have been simmering for a long time -- think artificial intelligence and cybersecurity -- are heating up. We may just be coming to grips with the new challenges and opportunities that these developments present, but we also have to keep our eyes firmly on the horizon: As a business leader, it is critical to keep a forward-looking mindset and identify the new trends that are poised to disrupt business in the coming year. With these insights in mind, you can clearly plan for the future of your company and strategically identify priorities for the year ahead. I have been doing some thinking to get us ahead of the curve for next year.

Digital Marketing in 2018


You will see a greater emphasis on this form of marketing, including paid social media advertising and video marketing in general. Creating greater brand awareness has been a trend for the past few years, but with more emphasis on creating trust you should expect to see more influencer marketing tactics. The major search engine companies, including Google, have managed to change their algorithms to lessen the effects of this form of attack. This amount will be increased thanks to A.I influencers promotional campaigns on artificial intelligence in social media.

A physicist explores the future of artificial intelligence


Whether it's reports of a new and wondrous technological accomplishment or of the danger we face in a future filled with unbridled machines, artificial intelligence (AI) has recently been receiving a great deal of attention. If you want to understand what the fuss is all about, Max Tegmark's original, accessible, and provocative Life 3.0: Being Human in the Age of Artificial Intelligence would be a great place to start. Tegmark successfully gives clarity to the many faces of AI, creating a highly readable book that complements The Second Machine Age's economic perspective on the near-term implications of recent accomplishments in AI and the more detailed analysis of how we might get from where we are today to AGI and even the superhuman AI in Superintelligence. Would intelligent machines that design and build new iterations of themselves represent a new form of "life" (the "Life 3.0" Tegmark refers to in the book's title)?

Impact of Artificial Intelligence on Paid Advertising


Perhaps no advancement over the past decade has had more of an impact on paid advertising, especially with Google AdWords and Facebook PPC than Artificial Intelligence (AI). In other words, it is the gathering of information on the personal habits of the potential customer so that paid advertising can be better directed at the right audience. By not only addressing your actions, it also considers your vulnerabilities which means that paid advertising in places like Google AdWords and Facebook PPC becomes more potent in its effects. This is not to say that paid advertising has replaced organic SEO in terms of marketing strategy, but there is no doubt that it has offered a positive impact which makes Google AdWords and Facebook PPC more effective in reaching the desired customer base.

Are you really an AI startup?


Having a vision that grand is a huge gamble -- one that can only succeed if it's backed up by a solid business model, has a clear market that it targets, and is built on a clear foundation of targets and KPIs. While the solution is a highly technical, research-heavy one, it can only generate real value if it aligns with what our business team needs, how our photography team works, and how our product team wants to translate those needs and workflows. While significant statistical jumps in accuracy still require larger algorithmic improvements, a lot of gains can be made by iterative work (training with larger data sets, for example). You fix your precision, optimize for recall to solve search, fix your recall, optimize for precision for keywording individual photos -- it's a vicious cycle.

Recap from International Robotics Week


Last week, we were able to show the whole world what RoboValley has built in the past years and what RoboValley stands for: connecting robots and people worldwide. Constantijn also visited the RoboValley pavilion, where various start-ups were gathered together: Delft Robotics, CropZoomer, Clear Flight Solutions, SeaDrone, Robot Care Systems, Robot Security Systems, Robot Engineered Systems, Vectioneer. "Over the past few years, we have built a global platform for organisations and people involved in robotics" RoboValley Platform RoboValley's Managing Director, Arthur de Crook, thanked everyone at the end of the IRW. "Over the past few years, we have built a global platform for organisations, researchers and governments involved in robotics.

Know how to program robots? CEO says now's a great time to learn ZDNet

AITopics Original Links

This is a guest post by Open Source Robotics Foundation CEO Brian Gerkey. We're especially excited to see how brand new startups have been taking advantage of the open source nature of ROS to help them develop useful, reliable robots that are creating entirely new markets.

The Next Wave of Cloud Computing: Artificial Intelligence? »


In a market that is primarily dominated by four major companies – Google, Microsoft, Amazon, and IBM – AI could possibly disrupt the current dynamic. The current AI-cloud landscape can essentially be categorized into two groups: AI cloud services and cloud machine learning platforms. Example of AI cloud services involve technologies such as Microsoft Cognitive Services, Google Cloud Vision, and IBM Watson. Azure Machine Learning and AWS Machine Learning are examples of cloud machine learning platforms.

Uber's Pittsburgh Project Is a Crucial Test for Self-Driving Cars

MIT Technology Review

The company has been developing the technology for the past year and has been testing it on the streets of Pittsburgh. The National Highway Traffic Safety Administration is currently investigating that accident (see "Tesla Crash Will Shape the Future of Automated Cars"). RajunathanRajkumar, a professor at CMU who is collaborating with General Motors on automated vehicle technology, says the Pittsburgh experiment will raise public awareness about how driverless systems work. But Rajkumar cautions that both the Singapore and Pittsburgh trials may highlight the remaining challenges for automated vehicles.