Smartphone chipsets have evolved drastically in the last decade. Major advances in smartphone technology such as facial recognition, performance improvements and mapping are based on the chipset evolution. Since they bring so much functionality to smartphones, what if the chips could be planted into the human brain? A new venture by smartphone chipmaker ARM and Center for Sensorimotor Neural Engineering (CSNE) at the University of Washington plans to develop a "brain-implantable system-on-chip (SoC)" for bi-directional brain-computer interfaces to treat neurogenerative disorders". Essentially the company wants to develop smartphone style chipsets, which can be implanted into your brain and help overcome neural diseases such as Parkinson's. Psychedelics Boost Brain's Signal Diversity, Scans Reveal "ARM's strong expertise in power-efficient microprocessors compliments the CSNE's work in computational neuroscience and brain-computer interfacing, and we expect the partnership to lead to advances in not only medical technology but other applications as well, such as consumer electronics," Dr. Scott Ransom, CSNE's director of industry relations and innovation said in the press release Tuesday.

There were whoops and cheers from developers as Google announced the incremental ways it is strengthening its grip on many aspects of people's lives at its annual developer conference, Google I/O. There were no jaw-dropping major product launches nor executives proclaiming their utopian vision of the future (ahem, Mark Zuckerberg). Instead there was a showcase of features, powered by artificial intelligence, designed to make people more connected – and more reliant on Google. "We are focused on our core mission of organising the world's information for everyone and approach this by applying deep computer science and technical insights to solve problems at scale," said CEO Sundar Pichai. By combining the personal data harvested from its users with industry leading (and human Go player beating) artificial intelligence, Google is squeezing itself into spaces in our everyday interactions it hasn't been before, filling in the gaps and oozing into new territory like a sticky glue that is becoming harder and harder to escape.

Google has launched new and improved default Android emoji, which are rolling out with the company's new mobile operating system. The platform's current emoji style has long attracted ridicule, with users likening them to "thumb people", mutant peanuts and misshapen, melted blobs. Android O replaces the unusual, irregular emoji that arrived in KitKat, with much more orthodox-looking, circular versions. The I.F.O. is fuelled by eight electric engines, which is able to push the flying object to an estimated top speed of about 120mph. The giant human-like robot bears a striking resemblance to the military robots starring in the movie'Avatar' and is claimed as a world first by its creators from a South Korean robotic company Waseda University's saxophonist robot WAS-5, developed by professor Atsuo Takanishi and Kaptain Rock playing one string light saber guitar perform jam session A man looks at an exhibit entitled'Mimus' a giant industrial robot which has been reprogrammed to interact with humans during a photocall at the new Design Museum in South Kensington, London Electrification Guru Dr. Wolfgang Ziebart talks about the electric Jaguar I-PACE concept SUV before it was unveiled before the Los Angeles Auto Show in Los Angeles, California, U.S The Jaguar I-PACE Concept car is the start of a new era for Jaguar.

Google's annual conference touched on all the zeitgeisty terms you'd have expected: More voice assistant features, artificial intelligence, visual search powered by deep learning and a whole lot more. Here's what you missed Google I/O 2017 recap The opening day of Google's developer event focused on putting more AI everywhere -- in your camera with Google Lens, in your phone/car/TV/speaker with Google Assistant -- and connecting virtual reality to mixed reality with Daydream. It probably sounds like a lot, because it is, but we boiled down the speech to a 15-minute video with all the highlights, so click here and get acquainted with the Google-y new world we're living in. Its latest search engine knows what's in your photos. Google Lens is a broad term that encompasses all kinds of vision-based computing skills.

The amount of digital data that currently exists is now growing at a rapid pace. The number is doubling every two years and it is completely transforming our basic mode of existence. According to a paper from IBM, about 2.5 billion gigabytes of data had been generated on a daily basis in the year 2012. Another article from Forbes informs us that data is growing at a pace which is faster than ever. The same article suggests that by the year 2020, about 1.7 billion of new information will be developed per second for all the human inhabitants on this planet. As data is growing at a faster pace, new terms associated with processing and handling data are coming up.

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We are pleased to welcome Paris-based machine learning startup Niland to the Spotify family. Niland has changed the game for how AI technology can optimize music search and recommendation capabilities and shares Spotify's passion for surfacing the right content to the right user at the right time. The team from Niland will join our New York office and help Spotify continue innovating and improving our recommendation and personalization technologies resulting in more music discovery which benefits both fans and artists. Their innovative approach to AI and machine learning based recommendation systems is a perfect fit for the Spotify team.

There is money to made out of data generated by billions of connected devices--the so-called Internet of things. In this scenario, gizmos from fitness trackers to kitchen appliances to jet engines are geared up to collect and transmit data about their performance. That data is then used to track how they are working and predict when they might fail so preventive maintenance can be performed. Amazon (amzn) and Microsoft have been very vocal about their plans to capitalize on the Internet of things. Get Data Sheet, Fortune's technology newsletter. This week that changed as Google is launching its first comprehensive attempt to bundle its various technologies to make aggregation and analysis of device data easier.

The Jevons Paradox suggests that when technological advances increase efficiency of a resource, it results in an overall increase in consumption. Writing on the increased use of coal as a result of technological improvements, 19th-century economist William Stanley Jevons found that these improvements led to the development of new ways to utilize coal. In his session at 19th Cloud Expo, Mark Thiele, Chief Strategy Officer for Apcera, compared the Jevons Paradox to modern-day enterprise IT, examining how the Internet and the cloud has allowed for the democratization of IT, resulting in an increased demand for the cloud and the drive to develop new ways to utilize it. Speaker Bio Mark Thiele's successful career in IT spans 25 years and has focused on both operating roles and on driving cloud adoption across enterprises of all sizes. He has deep industry experience and extensive knowledge of the requirements of policy-driven cloud computing and drives cross-functional strategic initiatives as Chief Strategy Officer for Apcera.

The human mind is no longer capable of keeping up with the velocity, volume, and variety of Big Data streaming through daily operations, making AI a powerful and essential tool for optimizing the analyzing and decision-making processes. Using all this information, it makes a data reservoir of relevant insights that may contain solutions to a wide range of critical issues, faced by IT operations and DevOps teams on a daily basis. The real-time obstacles DevOps engineers, IT Operations managers, CTOs, VP engineering, and CISO face numerous challenges, which can be mitigated effectively by integrating AI in log analysis and related operations. Quickly find the needle in the "IT operations" haystack and eliminate the main problems The good AI integration can yield Using AI driven log analytics systems, it becomes considerably easy to find the needle in the haystack, and efficiently solve issues.