- ARM tipped its hand today with the announcement of DynamIQ, a new technology it says will lay the groundwork for its next generation of mobile processors.
- Like other mobile chip makers, the company’s got a lot to contend with when it comes to future-proofing its offerings, and certainly ARM’s making some pretty big claims for what it’s calling its “biggest micro-architectural shift since […] 2011”
Central to the company’s speed boasts are its focus on future artificial intelligence, an aspect of technology that will continue to grow more central to mobile computing over the next several years, both through the proliferation of smart-assistants, autonomous vehicles and beyond.
- As with offerings from other mobile chip makers, the company is targeting a wide range of different computing platforms that move well beyond mobile.
- Microsoft has already laid some of the groundwork for additional applications back in December when it announced that it would be bringing its apps to the company’s mobile processors, in an attempt to get hardware makers to build a wider variety of devices for the operating system.
- ARM’s not giving exact dates for the technology’s anticipated arrival, only stating that it expects its hardware partners to ship an additional 100 billion ARM-based chips by the year 2021, having shipped roughly half that number between 2013 and 2017.
ARM tipped its hand today with the announcement of DynamIQ, a new technology it says will lay the groundwork for its next generation of mobile processors…
Continue reading “ARM’s next-gen chip design puts the focus on artificial intelligence”
- That could make for a 1+3 (quad-core) or 1+7 (octacore) layout, where each individual core has its own performance and power characteristics.
- The claim it’s making is that this setup can improve responsiveness for AI, with a 50x boost in AI performance over the next 3-5 years, and 10x between the (still Cortex-A9) CPU and specialized “accelerator hardware.”
ARM processor technology already powers many of the devices you use every day, and now the company is showing off its plans for the future with DynamIQ. Aimed s…
Continue reading “ARM’s latest CPUs are ready for an AI-powered future”
- With its public launch and the rollout of its content creation platform Convos, the Octane team is taking a gamble on the medium.
- “There are multiple categories of bots that will all do well,” explained Ben Parr, co-founder of Octane AI.
- Though Octane wasn’t able to provide specifics, the takeaway here is that bots created on the company’s platform might be able to drive more traffic with a smaller dedicated following than something like a traditional Facebook Page.
- Parr, who was previously Editor-At-Large at Mashable, is joined by Leif K-Brooks, the former founder of Omegle and Matt Schlicht, founder of Chatbots Magazine, to make up the founding team of Octane AI.
- Schlicht received criticism back in November for failing to disclose Octane’s ambitions when soliciting pitch desks from the bot community to pass on to investors.
One billion people use Facebook Messenger every month. And no matter how bad the current perceptions of the bot scene are, that number is hard to ignore…
Continue reading “Octane AI boldly bets that Convos are the future of content”
- Netflix has spent the last year expanding to virtually the entire world and has transformed itself from a DVD-by-mail service into a video streaming juggernaut with 94 million subscribers.
- A lot of those customers watch its library of videos on their phones, which is largely why Hastings was at the conference.
- On data caps: Hastings complimented some of the new unlimited data plans that offer limits on speed as a way to contain the strain on the network.
- Netflix has invested in getting quality video delivered to a phone with just 500 kilobits per second of data speed, Hastings said.
- On the future: Netflix attempts to learn about new trends and adapt to them rather than to commit to one vision of the future, Hastings said.
CEO Reed Hastings thinks it’ll go the way of the old dial tone noise for internet access. He also weighs in on piracy, artificial intelligence and more.
Continue reading “Netflix wants to kill buffering dead”
- By using the site you agree that we can place cookies on your device.
- USHERING IN AN ERA OF DISAPPEARING TECHNOLOGY
- Deploy AI well across company interfaces, and customers no longer need to understand complicated technology to use it: they can simply talk to, gesture at, or touch the AI that controls it.
- AI is the new UI: Experience Above All
- Moving beyond a back-end tool for the enterprise, artificial intelligence (AI) is taking on more sophisticated roles within technology interfaces.
See how Artificial Intelligence plays a wide range of increasingly sophisticated roles in creating better customer interactions at the user interface (UI).
Continue reading “AI as the new UI – Accenture Tech Vision”
- The company can use these images in its deep learning training program.
- Posted by Shane Hinshaw in categories: biotech/medical , robotics/AI
- In early August, IBM announced that it will acquire Merge Healthcare Inc., a company that sells systems that help medical professionals access and store medical images.
- Merge is valuable to IBM because it owns 30 billion images, including computerized tomography, X-rays, and magnetic-resonance-imaging scans.
- The move is a critical step in IBM’s plan to put AI to work medically by training its Watson software to identify maladies like heart disease and cancer.
Artificial Intelligence is Leading a Revolution in Medicine
Continue reading “Artificial Intelligence is Leading a Revolution in Medicine”
- What’s more, using AIs to build more AIs may also increase the speed at which new AIs can be made.
- Once you’ve trained an AI to accomplish a certain goal, you can’t necessarily crack it open and see how it is doing it.
- The downside is that AI building more AIs sure seems like it’s inviting a runaway cascade and, eventually, Skynet.
- Google Is Making AI That Can Make More AI
- The lab is reportedly building AI software that can build more AI software , with the goal of making future AI cheaper and easier.
There’s no way this could go wrong.
Continue reading “Google Is Making AI That Can Make More AI”