Xiaomi showcased in Singapore a slew of smart appliances for the smart home. The company boasts AIoT technology that enhances smart living in the modern home. Early bird promotions below.
The Smart Home Solutions showcase is a partnership between Xiaomi and M.SPACO, a one-stop home solutions provider and experiential gallery. Here’s the new Xiaomi TV A2 58-inch AIoT television.
The AIoT (Artificial Intelligence of Things) devices which Xiaomi showcased in Singapore include the following.
The usual retail prices and the early bird prices from 6 August are listed below.
Xiaomi TV A2 Series
58” (UP: S$999)
43” (UP: S$499, 6 Aug: S$429)
32” (UP: S$329, 6 Aug: S$279)
Xiaomi TV P1E Series
UP: S$1,299, 6 Aug: S$999
MI Smart Air Fryer 3.5L (S$139)
UP: S$139, 6 Aug: S$109
Xiaomi Smart Pet Feeder
UP: S$169, 6 Aug: S$139
Xiaomi Smart Pet Fountain
UP: S$99, 6 Aug: S$89
Xiaomi Smart Air Purifier 4 Compact
UP: S$159
The highlights of the showcase were the 58-inch Xiaomi TV A2 and the 65-inch Xiaomi TV P1E.
The A2 serves as a home hub with fully voice-automated AIoT connectivity, high-end audio and visual specs, and built-in access to the latest content worldwide.
What is the key to understanding the depth of an Artificial Intelligence (AI) algorithm’s unique power? Jeff Harris from Keysight Technologies shares his insights into how measurement determines the potential of your AI algorithm.
Determining the potential of your AI algorithm begins with measurement.
At the core of every AI algorithm are three basic ingredients:
the ability to measure
knowing how much of what you measure needs to be processed
the ability to process more than one input at a time
To what depth a system can measure can be thought of as its potential.
Determining what aspects of those measurements must be sent to the processor can be thought of as delivering that potential.
Finally, knowing how to combine the salient parts of those measurements in the correct proportions, known as sensor fusion, is the key to exploring an algorithm’s IQ or reasoning potential.
Jo De Boeck notes the growing list of Artificial Intelligence (AI) applications as they take up more and more of the resources on Earth to deliver anything from Amazon recommendations to deciphering a virus DNA.
In this guest blog, the EVP/CSO of imec shares his insights into how power-hungry AI can be and the need for an Energy label for AI.
Jo De Boeck is the Executive Vice President & Chief Strategy Officer of imec, an R&D and innovation hub in nanoelectronics and digital technologies, based in Belgium. Photo: imec.
AI has become more intelligent in recent years.
Fuelled by seemingly infinite computational power that is easily available on tap today, it now processes huge amounts of data to recognise patterns every day.
Yet, with each new “trick” that an AI can learn, whether this is differentiating a cat from a dog or getting a robotic arm to figure out a Rubik’s Cube, billions of calculations go into each task.
“We need to talk about an Energy Label for AI,” says Jo De Boeck, EVP & CSO, imec. Photo: imec.
That takes a lot of energy to power up, adding to an already fraught situation with global warming.
Compare this to the human brain.
It can effortlessly complete many of these cognitive feats that AI is accomplishing and celebrated for today, while requiring a small fraction of the energy.
So, while AI can be useful to help save energy by optimising its use, there is energy needed to train an AI model as well. This energy is not insubstantial.
Can this inspire us to develop more energy-efficient AI systems?
Will they bring a net positive in efforts to prevent or reverse permanent environmental damage?
Atish Gude, NetApp’s Chief Strategy Officer shares three predictions for 2020, putting the spotlight on 5G, Blockchain and infrastructure virtualisation solutions.
* This article is contributed by Atish Gude, based on his professional experience and personal opinions.
What does 2020 hold in store?
2019 was a year of rapid innovation – and disruption – for both the IT industry and the broader business community.
With the widespread adoption of hybrid multicloud as the de-facto architecture for enterprise customers, organisations everywhere are under tremendous pressure to modernise their infrastructure and deliver tangible business value around data-intensive applications and workloads.
Multiclouds & Virtualisation
As a result, organisations are shifting from on-premises to leverage public cloud services, building private clouds, and moving from disk to flash in data centers – sometimes concurrently.
These transformations open the door to enormous potential, but also introduce the unintended consequence of rising IT complexity.
We predict that a demand for simplicity and customisability will be the number-one factor driving IT purchasing decisions in 2020.
Data-driven transformations
Vendors will need to provide customers modern, flexible technologies with the choice of how to use and consumes these technologies to meet evolving business models.
As IT departments look to de-emphasise maintenance and hardware, reduce overhead, and adopt pay-as-you-go models, simplicity and choice will be key.
Achieving this simplicity will serve as the foundation for companies as they navigate the exciting technological trends we’ve identified below.
Predictronics is an AI-driven predictive maintenance analytics solutions provider headquartered in Cincinnati, Ohio.
TVS Motor (Singapore)’s US$3.2m investment in Predictronics Corporation comes on the heels of a US$7m investment in Scienaptic Systems last month in July 2019.
TVS Motor (Singapore) Pte. Limited, a wholly-owned subsidiary of TVS Motor Company Limited, India, has signed definitive agreements to invest US$3.2 million in Predictronics Corporation, which specialises in providing end-to-end predictive maintenance analytics solutions.
The closing of the investment is subject to obtaining appropriate regulatory approvals.
TVS Motor (Singapore) Pte. Limited led this Series A funding in Scienaptic, an AI-powered decision platform.
TVS Motor (Singapore) Pte. Limited, a wholly-owned subsidiary of TVS Motor Company Limited, India, has signed definitive agreements to invest US$7 million in Scienaptic Systems Inc., a Delaware corporation, headquartered in New York City.
Scienaptic combines the latest big data technologies and proprietary machine learning and artificial intelligence algorithms on its decision platform, “Ether”.
MIT Technology Review Survey reveals that most business and technology leaders in Asia Pacific and Singapore agree that data is a key competitive advantage.
To view the full report for the MIT Tech Review Survey, please click here.
The all-flash data storage platform will be announcing at Pure Live Singapore its vision for the future of infrastructure design — a data-centric architecture.
Pure Live Singapore 2018
Pure Live is Pure’s annual customer event for the region where it shares updates on its strategy, product vision, and latest technology innovations.
Pure Live Singapore features keynote speeches by Charlie Giancarlo, Chief Executive Officer, Pure Storage, as well as guest speakers from NVIDIA, Arista, National Supercomputing Center Singapore, and Element AI.
This is the third year Pure is running Pure Live in Asia Pacific and Japan (APJ).
The company doubled the number of net new customers over the past 12 months and continues to lead in its industry segments according to Gartner and IDC.
With the rise of machine learning and artificial intelligence technologies, data has shifted from an informational asset to the core of innovation.
It’s no longer enough to just be data-driven – organisations must be data-centric.
Modern organisations operate in a world of rapidly evolving applications, where future success is predicated on deriving intelligence from data to achieve competitive advantage and growth.
Huawei showcases driverless Porsche Panamera driven by the Mate 10 Pro, leveraging the smartphone’s powerful computer chip and AI (Artificial Intelligence) engine.
Huawei boasts that it is the first mobile device manufacturer in the world to use an AI-powered smartphone to drive a car.
The aim of the “RoadReader” project is to push the boundaries of Huawei’s object recognition technology and put the learning capabilities, speed and performance of its AI-powered devices to the test.
The AI engine in the Huawei Mate 10 Pro transforms the Porsche Panamera into a driverless vehicle that does not just see, but also understands its surroundings.
The new Huawei Mate 10 Series is based on the Kirin 970 AI mobile chipset; and comprises the 5.9-inch Mate 10 (S$888), 6-inch Mate 10 Pro, & Porsche Design Huawei Mate 10. Full pricing & availability to be announced on 26 October, 2017. Pre-order and registration of interest information below.
Update (26 October, 2017):
Huawei launched its Mate 10 series of Android smartphones in Singapore this evening.
Huawei Mate 10 Pro (left) is slightly longer while the Mate 10 (right) is broader. The Mate 10 Pro does not have a home button, a headphone jack nor an external memory card slot.
Prices & availability for Singapore were released.
Huawei Mate 10: S$888
Mocha Brown, Black (28 Oct)
Huawei Mate 10 Pro: S$1,098
Mocha Brown (11 Nov), Midnight Blue (25 Nov)
Porsche Design Huawei Mate 10: S$2,298
Diamond Black (24 Nov)
The Kirin 970 in the Mate 10 Series was unveiled during IFA Berlin last month and is Huawei’s first AI (artificial intelligence) mobile chipset.
The new phones will sport Huawei’s EMUI 8.0 user-interface and new Leica dual camera technology.
Tech Focus: Measurement Determines the Potential of Your AI Algorithm
Friday, June 17th, 2022What is the key to understanding the depth of an Artificial Intelligence (AI) algorithm’s unique power? Jeff Harris from Keysight Technologies shares his insights into how measurement determines the potential of your AI algorithm.
Determining the potential of your AI algorithm begins with measurement.
At the core of every AI algorithm are three basic ingredients:
To what depth a system can measure can be thought of as its potential.
Determining what aspects of those measurements must be sent to the processor can be thought of as delivering that potential.
Finally, knowing how to combine the salient parts of those measurements in the correct proportions, known as sensor fusion, is the key to exploring an algorithm’s IQ or reasoning potential.
(more…)
Tags:AI, Artificial Intelligence, byline, commentary, interviews, Keysight, opinion, Tech Focus, technology
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