If there was any doubt that artificial intelligence is the future of technology, look no further than Google. The company announced the new AI research push on Thursday in a blog post. Opening as part of Google's existing Google Research center in Europe, the Machine Learning Research Group will focus on, naturally, Machine Learning, in which computers use vast amounts of data to teach themselves and build rules about the data; Natural Language Processing for speech-systems and conversational queries; and Machine Perception, which is used to understand the contents of images, sounds, music and video. This announcement comes four years after the company began aggressively pursuing machine learning technologies, three months after Google's AI beat one of the world's best Go players and just weeks after Google codified its approach to AI during its annual Google I/O developers conference. During I/O, Google unveiled Google Assistant, a voice-based digital assistant designed the take on Microsoft's Cortana, Apple's Siri and Amazon's Alexa.

Google announced today that it is expanding its largest non-U.S. The new Machine Learning Research Group will be based in Zurich, Switzerland, which is already Google's largest research center outside the U.S. The company did not say specifically how many positions will be added. But in a blog post, Google executives said machine learning has become critical to the company's development efforts across a wide range of services. "Google's ongoing research in Machine Intelligence is what powers many of the products being used by hundreds of millions of people a day -- from Translate to Photo Search to SmartReply for Inbox," wrote Emmanuel Mogenet, head of Google Research in Europe. Indeed, the Zurich research center has already had a sizable impact on Google.

FAIRFAX, VA--(Marketwired - June 15, 2016) - Invincea, the leader in advanced endpoint threat protection, announced today that it is the first machine learning based endpoint security company to join the Anti-Malware Testing Standards Organization (AMTSO). Participation in AMTSO furthers Invincea's mission of addressing the global need for improvement in third party testing based on scientific objectivity, quality, and relevance of anti-malware testing methodologies. Hundreds of millions of new pieces of malware are created a year, wreaking havoc on enterprises across industries against the backdrop of obsolete anti-malware approaches. To combat the scourge of malware that evades traditional anti-malware systems, the next-gen endpoint security market has exploded with new companies bringing products to market with fantastic claims. To date, these companies have not been held accountable to their marketing claims by independent scientifically valid testing on the merits of their product technology and approaches.

ConnectX-5 introduces smart offloading engines that enable the highest application performance while maximizing data center return on investment. Furthermore, ConnectX-5 is the first PCI Express 3.0 and 4.0 compatible adapter, enabling greater flexibility and future-proofing for the data center. With the exponential growth of data and the increase in businesses that takes advantage of real-time data processing for high performance computing (HPC), data analytics, machine learning, national security and'Internet of Things' applications, the market needs not only the fastest interconnect available, but also interconnect intelligence that can perform data algorithms as the data moves throughout the data center. The new intelligent ConnectX-5 100G adapter enables the most advanced real-time in-network computing engines to unleash business opportunities and new technological developments. "The new ConnectX-5 100G adapter further enables high performance, data analytics, deep learning, storage, Web 2.0 and more applications to perform data-related algorithms on the network to achieve the highest system performance and utilization," said Gilad Shainer, vice president, marketing at Mellanox Technologies.

Apple announced today that it will be opening up Siri to third-party developers through an API, giving outside apps the ability to activate from Siri's voice commands, and potentially endowing Siri with a wide range of new skills and datasets. The move follows similar announcements by Amazon, Google, Facebook, and Microsoft, all of which are betting that voice commands and chatbots will be one of the next big computing paradigms. When Steve Jobs introduced Siri to the world five years ago, it felt like a revelatory advancement. Sure, there had been digital assistants before, but not one you speak to naturally or carry around in your pocket. In the time since, however, this kind of conversational AI proliferated out to lots of devices, with big offerings from most of Apple's major competitors.

In fact, unit shipments of artificial intelligence (AI) systems used in infotainment and ADAS systems are expected to rise from just 7 million in 2015 to 122 million by 2025, according to IHS Inc. (NYSE: IHS), the leading global source of critical information and insight. The attach rate of AI-based systems in new vehicles was 8 percent in 2015, and the vast majority were focused on speech recognition. However, that number is forecast to rise to 109 percent in 2025, as there will be multiple AI systems of various types installed in many cars. "An artificial-intelligence system continuously learns from experience and by its ability to discern and recognize its surroundings," said Luca De Ambroggi, principal analyst-automotive semiconductors, IHS Technology. "It learns, as human beings do, from real sounds, images, and other sensory inputs. The system recognizes the car's environment and evaluates the contextual implications for the moving car." Specifically in ADAS, deep learning -- which mimics human neural networks -- presents several advantages over traditional algorithms; it is also a key milestone on the road to fully autonomous vehicles.

"Hindsait's main goal has been to develop a robust, AI platform that specifically addresses the needs of healthcare organizations," said Frost & Sullivan Research Analyst Harpreet Singh Buttar. "This platform assists in reducing unnecessary health services, eliminating errors and biases in care delivery and improving overall quality of care." Hindsait's system has proven to be highly adaptable and scalable, based on unique use case requirements. Their capabilities range from natural language processing (NLP) and machine learning to cognitive computing and predictive analytics that directly helps providers and payers resolve healthcare delivery issues. Hindsait boasts a wide range of services, right from analyzing unstructured data, such as clinical notes, patient charts, and prescriptions, to real-time optimization of diagnostic and treatment plans.

The company said the new Edgeline EL1000 (pictured above) and Edgeline EL4000 converged systems target enterprise clients deploying IoT devices in remote environments, also known as the "edge of the network." While the recent proliferation of IoT devices has made it increasingly possible for companies to gather massive amounts of data from remote locations in the field, retrieving that information and performing intensive analytics on it has been challenging. Some companies, such as those in the oil and gas, manufacturing, and telecommunications industries face particular challenges when it comes to harnessing big data in remote environments, HPE said. "Until now, the remote data would have to be transported to a data center or cloud for analysis, which can be a slow, risky and inefficient process," the company said in a statement. The two new systems are aimed at enabling organizations to harness their data onsite by delivering real-time analytics and machine learning at the point of data collection.

"I think you will see us open up more in the future," Apple CEO Tim Cook said the AllThingsD D11 conference in 2013. Now, roughly three years later, we have the clearest picture yet of what a more open Apple looks like. During its Worldwide Developers Conference on June 13, Apple announced a slew of changes to some of its apps and services that allow them to work with third parties. Siri, iMessage, Apple Maps, and the Phone app are among the Apple services that developers will be able to tap into. This means iPhone owners will be able to do things like call an Uber through Siri, order food without leaving the Messages app, and make reservations in Apple Maps.

Aptly enough, iOS 10 has 10 major features, including sweeping new upgrades to Messages, a much more intelligent Siri, and a Memories feature in Photos that recognizes objects, people, and even locations. Introduced on Monday during WWDC, iOS 10 also makes the iPhone sublimely integrated with third-party apps. Developers can now design apps to directly enhance Messages, Siri, Maps, and Notifications. Apple's most noticeable update comes to Messages, which the company said is the most frequently used app on iOS. In addition to opening up the iMessage platform to third-party developers, Messages in iOS 10 has gone through a major "emojification."