Korean tech giant Samsung has unveiled plans to launch a research centre to explore and develop artificial technologies, it said on Wednesday. According to Reuters, the company wants to bolster its role as a leader of this technology, and it'll do that by pioneering research in the area. The company also wants to establish an "executive role" to take advantage of new business areas and technologies across its three main enterprise groups. In a statement, the company said it's in the process of tweaking its business structure to "quickly respond to market changes". And artificial intelligence is at the top of the list.
Dr Ilya Romanenko played a key role in R&D leadership for 12 years at image sensor designer Apical and after the company was acquired by ARM in 2016 he became R&D Director for ARM's computer vision team. He wants to combine Spectral Edge's proven Phusion image processing technology with a new approach based on Deep Learning for a new range of imaging technology for smartphones. "Spectral Edge is built on impressive fundamental technology, which sits at the intersection of the image processing and computer vision fields, meaning I can use my knowledge and expertise in both to move the company forward," said Romanenko. "It is already delivering significant benefits to companies in the broadcast market, and I am confident that working with the team we can bring this technology to life, particularly within products in the mobile sector, improving the user experience and bringing a new quality to existing products." His appointment follows that of new CEO Rhodri Thomas, who joined from SwiftKey/Microsoft in February 2017.
Samsung, jumping on a trend adopted by pretty much every tech outfit, is creating its own consumer-focused artificial intelligence research center. In a fairly vague statement released today, the company announced its plans to more thoroughly pursue AI endeavors with a dedicated project within its mobile and consumer electronics businesses, although it didn't say where the center will be located. Earlier this year the company made its AI intentions known when it opened a lab in Canada focusing on self-driving cars and image recognition. However, this latest announcement comes buried in a wider statement revealing minor changes to the role of Samsung's chief strategy officer Young Sohn, which has been expanded to explore new business opportunities -- a move designed to "quickly respond to market changes", according to the company. Samsung has a habit of getting ahead of itself, announcing its ambitions before it's close to creating a tangible output (see its ambiguous plans for a folding smartphone and Bixby's roll-out fiasco) so what will come of the company's AI research plans remains to be seen -- at least it's finally establishing itself in the AI club other tech players joined long ago.
Xiaomi has chosen to focus its efforts on dozens of markets outside the US that very few of its products ever make it stateside. It has slowly been bringing its offerings into the country, though, and has started selling four new products on Amazon (with one more to come) just in time for this year's holiday shopping season. The priciest one you can add to your Christmas list is Xiaomi's GoPro rival, the $300 Mi Sphere Camera kit, which is a 23.88-megapixel 360-degree camera that can record videos in 3.5K. Xiaomi has also released a $140 robot builder kit with Lego-like components and electronic parts like high-speed motors and engine that you can use to build robotic dinosaurs, Transformer-like machines or pretty much anything you want. You can write programs for your creations with the kit's accompanying app even if you don't know how to write code.
Disclaimer: I have been working on analog and mixed-signal neuromorphic micro-chips during my PhD, and in the last 10 years have switched to Deep Learning and fully digital neural networks. For a complete list of our works, see here. An older publication from regarding this topic is here (from our group). Neuromorphic or standard digital for computing neural networks: which one is better? This is a long question to answer.
Whilst these technologies have exciting potential, are we overlooking the human and ethical dimensions of data and its uses? Join us on campus to hear leading UTS academics - along with industry and government speakers - discuss the evolving challenges and opportunities at play in our increasingly data-rich world. This UTS Conversation on Humans, Data, AI & Ethics will feature thought-provoking panel discussions, TED-style talks and poster presentations showcasing research and expertise at the intersections between people, processes, technologies, data and ethics. For catering purposes, please register for our Conversation event on this page by Monday, December 4th. A detailed schedule for the day will be published on our event webpage soon.
The biggest acquisition in the history of technology has been tabled. Broadcom, which itself was purchased by Singapore's Avago Technologies in 2016, has made a $130 billion bid for rival chipmaker Qualcomm. If it goes through (and that's a big if), Broadcom would be paying 20 times the amount Candy Crush-maker King was purchased for, or more than 130 times the amount it cost Facebook to buy Instagram. It could even get the equivalent of five LinkedIns for the price. The proposed deal is so big it's nearly double the biggest tech buyout of all time, Dell's $67bn buyout of EMC in 2015.
We dug into the private market bets made by major computer chip companies, including GPU makers. Our analysis encompasses the venture arms of NVIDIA, Intel, Samsung, AMD, and more. Recent developments in the semiconductor industry have been sending mixed signals. Stories about Moore's Law slowing have grown common, but analysts affirm that the latest crop of chips (specifically Intel's newest 10-nanometer technology) prove Moore's Law is still alive and well. Meanwhile, the vast application of graphics hardware in AI has propelled GPU (graphics processing unit) maker NVIDIA into tech juggernaut status: the company's shares were the best-performing stock over the past year.