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As AI chips improve, is TOPS the best way to measure their power?

#artificialintelligence

Once in a while, a young company will claim it has more experience than would be logical -- a just-opened law firm might tout 60 years of legal experience, but actually consist of three people who have each practiced law for 20 years. The number "60" catches your eye and summarizes something, yet might leave you wondering whether to prefer one lawyer with 60 years of experience. There's actually no universally correct answer; your choice should be based on the type of services you're looking for. A single lawyer might be superb at certain tasks and not great at others, while three lawyers with solid experience could canvas a wider collection of subjects. If you understand that example, you also understand the challenge of evaluating AI chip performance using "TOPS," a metric that means trillions of operations per second, or "tera operations per second."


Deep Brain Chain AI Machines are finally ready for delivery - Cryptocoindaddy.com

#artificialintelligence

DBC team has posted a message on their twitter account which says that the Deep Brain Chain AI Machines are ready for delivery to all miners who have not had their machines delivered. By this, Deep Brain Chain Foundation has fulfilled its original promise to upgrade the GPU servers from Nvidia GTX 1080Ti to Nvidia RTX 2080Ti. In addition, Deep Brain Chain foundation has already found customers for the miner's machines and it is possible to lease out the machines, if needed. The buyers of the mining machines are required to reply back to their emails in order to complete the delivery which will be completed within 7 working days. If you have received a message about this on telegram, you must send an email to zhouyu@deepbrainchain.org to confirm.


Watch live: Quantum computing, cryptography and healthcare headline Upgrade 2020 event

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"Quantum technologies are a good fit for some types of machine learning, such as image and speech recognition," said Gomi, writing in a post this …


ESA's Φ-Week: Digital Twin Earth, Quantum Computing and AI Take Center Stage

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Digital Twin Earth will help visualize, monitor, and forecast natural and human activity on the planet. The model will be able to monitor the health of the planet, perform simulations of Earth's interconnected system with human behavior, and support the field of sustainable development, therefore, reinforcing Europe's efforts for a better environment in order to respond to the urgent challenges and targets addressed by the Green Deal. ESA's 2020 Φ-week event kicked off this morning with a series of stimulating speeches on Digital Twin Earth, updates on Φ-sat-1, which was successfully launched into orbit earlier this month, and an exciting new initiative involving quantum computing. The third edition of the Φ-week event, which is entirely virtual, focuses on how Earth observation can contribute to the concept of Digital Twin Earth – a dynamic, digital replica of our planet which accurately mimics Earth's behavior. Constantly fed with Earth observation data, combined with in situ measurements and artificial intelligence, the Digital Twin Earth provides an accurate representation of the past, present, and future changes of our world.


TCL 6-Series TV Review (2020): It's Our Favorite TV, Again

WIRED

Someday, there will be a reason to spend more than $1,000 on a TV. For now, save your money and buy the new TCL 6-Series. For the third year in a row, the $650, 55-inch model is our favorite TV--where beautiful picture quality and a usable Roku interface meet a reasonable price. It has better picture than TVs that cost hundreds of dollars more, Roku OS built in, and even Chromecast for showing slideshows on the big screen. You can spend double the money for a slightly better-looking OLED TV, but this quantum dot, Mini-LED TCL is nearly as good--and comes with a better interface.


Vision Processing Units (VPUs)

#artificialintelligence

On my first day working for MILLA, an autonomous shuttle company, I discovered a shuttle that can drive up to 30 km/h; quite an improvement if you compare it to our competitors at the time driving at 5–8 km/h. At the time, the shuttle was new and there was no GPU yet on it. In case you don't know what a GPU is, here's a quick picture that explains it well: A GPU (Graphic Processing Unit) parallels the processes so operations are done faster. In a self-driving car, this can be super useful for computer vision or point cloud processing. It was first released in video games because of the need to display multiple things at the same time.


All-flash Vast Data storage trains AI data at LightSpeed

#artificialintelligence

Vast Data Universal Storage serves all data from flash. Its "shared everything" architecture uses lower cost QLC SSDs for bulk storage with more expensive Intel Optane storage class memory acceleration, connected via NVMe over Fabrics in the box. File and object protocols are presented as container-based microservices. Vast claims its method ensures data remains highly available on the fastest storage media. The Vast Data storage targets applications that hinge on fast random access, said Eric Burgener, a research vice president of storage at IT analyst firm IDC.


Tested: 5 key things to know about Nvidia's GeForce RTX 3090

PCWorld

Nvidia's GeForce RTX 3090 delivers exhilarating graphics prowess--the fastest possible gaming frame rates at extreme resolutions, and outstanding performance in professional applications. At $1,500, it's either a hard pass or a no-brainer, depending on how you plan to use it. You can read every nitty-gritty detail in our comprehensive review of Nvidia's GeForce RTX 3090 Founders Edition. But if you don't feel like sifting through thousands of words of technical and testing details, here are the five key things you need to know. Yes, the GeForce RTX 3090 offers the "ultimate gaming experience" that Nvidia promised.


IoT-Enhanced Processors Increase Performance, AI, Security

#artificialintelligence

What's New: Today at the Intel Industrial Summit 2020, Intel announced new enhanced internet of things (IoT) capabilities. The 11th Gen Intel Core processors, Intel Atom x6000E series, and Intel Pentium and Celeron N and J series bring new artificial intelligence (AI), security, functional safety and real-time capabilities to edge customers. With a robust hardware and software portfolio, an unparalleled ecosystem and 15,000 customer deployments globally, Intel is providing robust solutions for the $65 billion edge silicon market opportunity by 2024. "By 2023, up to 70% of all enterprises will process data at the edge.1 11th Gen Intel Core processors, Intel Atom x6000E series, and Intel Pentium and Celeron N and J series processors represent our most significant step forward yet in enhancements for IoT, bringing features that address our customers' current needs, while setting the foundation for capabilities with advancements in AI and 5G." –John Healy, Intel vice president of the Internet of Things Group and general manager of Platform Management and Customer Engineering Why It's Important: Intel works closely with customers to build proofs of concept, optimize solutions and collect feedback along the way. Innovations delivered with 11th Gen Intel Core processors, Intel Atom x6000E series, and Intel Pentium and Celeron N and J series processors are a response to challenges felt across the IoT industry: edge complexity, total cost of ownership and a range of environmental conditions.


Fitbit Sense review: A half-baked smartwatch for the wellness warrior

Mashable

It's taken almost four years, but it feels like Fitbit has finally found its footing in the world of smartwatches and the Fitbit Sense is proof -- sort of. At this point, it's no secret that Fitbit is extremely capable of manufacturing accurate, easy-to-use, sleek, and affordable fitness trackers. But when it comes to smartwatches, it's safe to say the journey hasn't been as smooth. Between 2016 and 2017, Fitbit released two devices that straddled the line between smartwatch and fitness tracker: the Blaze and Ionic. While both packed every sensor necessary to track your daily fitness needs, each one was just as clunky and unattractive as the one before it. These just weren't wrist-worn accessories anyone really wanted to wear on a daily basis.