From artificial intelligence to blockchain, 11 leading scientists from Alibaba Group and its affiliate research labs, including researchers with the Alibaba DAMO Academy--the Chinese tech giant's first major research program focused on developing next-generation technologies--look at which trends will make the biggest impact in the coming year. Alibaba is helping Shanghai Metro to improve the experience of subway commuters via AI technology, such as voice-recognition ticketing machines. "Multiple [research] teams will announce that they've achieved "quantum supremacy," the engineering of a quantum processor that cannot be simulated by classical computers. Much work is to be done, however, to reach the next milestone of solving a practically meaningful problem that can't be solved classically." "In 2018, the spotlight will be on blockchain technology… Applications of blockchain will leapfrog from proofs of concepts (PoC) to real-world implementations, especially in the areas of financial services and supply chain management. More and more traditional industries will start embracing the technology and re-engineer their business models. A.I. Labs and Taiwan-based chipmaker MediaTek revealed at CES that they have designed bluetooth chips that will allow connected home devices to automatically pair with Tmall Genie. "[The A.I. chips market] is an increasingly heated battleground.

Da Vinci utilizes Maropost's proprietary machine intelligence technology and breakthroughs in machine learning and cloud computing to offer unparalleled insight and optimal action. As with everything that Maropost offers, Da Vinci was designed and built completely in-house to ensure maximum consistency and integration. "Maropost Marketing Cloud leads the industry in tracking and analytics, automation, and machine learning," says Ross Andrew Paquette, CEO and Chairman of Maropost. "Our machine intelligence technology is the culmination of all our past research and the logical next step for the future. Da Vinci is the most powerful and functional artificial intelligence available to enterprise at the present."

Brains have been associated with the field of artificial intelligence for more than half a century. The reason is simple: the brain is the best and perhaps only example we have of an intelligent system. But should the brain serve as mere inspiration or can it be a roadmap, providing the most efficient path to machine intelligence? More than 50 years ago artificial neural networks, or ANNs for short, were created with the intent of designing something that, like the brain, could learn without expert rules or human supervision. However, ANNs were designed at a time when little was known about how neurons worked in the brain.

We @ProjectJunoAI are big fans of landscapes. That's why we've created a machine intelligence landscape focused entirely on Europe [1]. Europe deserves a landscape of its own to highlight its talent and expertise. Until recently, its contribution to the innovation and commercialisation of machine intelligence technologies has been under-appreciated. We now see growing self-confidence borne of the success, and continued presence, of local acquired startups like VocalIQ, Swiftkey, Deepmind, Magic Pony Technology, and PredictionIO.

We @ProjectJunoAI are big fans of landscapes. That's why we've created a machine intelligence landscape focused entirely on Europe [1]. Europe deserves a landscape of its own to highlight its talent and expertise. Until recently, its contribution to the innovation and commercialisation of machine intelligence technologies has been under-appreciated. We now see growing self-confidence borne of the success, and continued presence, of local acquired startups like VocalIQ, Swiftkey, Deepmind, Magic Pony Technology, and PredictionIO.

We @ProjectJunoAI are big fans of landscapes. That's why we've created a machine intelligence landscape focused entirely on Europe [1]. Europe deserves a landscape of its own to highlight its talent and expertise. Until recently, its contribution to the innovation and commercialisation of machine intelligence technologies has been under-appreciated. We now see growing self-confidence borne of the success, and continued presence, of local acquired startups like VocalIQ, Swiftkey, Deepmind, Magic Pony Technology, and PredictionIO.

We @ProjectJunoAI are big fans of landscapes. That's why we've created a machine intelligence landscape focused entirely on Europe [1]. Europe deserves a landscape of its own to highlight its talent and expertise. Until recently, its contribution to the innovation and commercialisation of machine intelligence technologies has been under-appreciated. We now see growing self-confidence borne of the success, and continued presence, of local acquired startups like VocalIQ, Swiftkey, Deepmind, Magic Pony Technology, and PredictionIO.