| From: BeenRetired | 4/8/2021 12:13:26 PM | | | | | | Insight LiDAR Develops Industry’s First “Gesture Detection” Sensing Technology for Autonomous Vehicle LiDAR Systems
SHANNON DAVIS
4 MINS AGO
00 VIEWS
Autonomous Vehicle (AV) technology company Insight LiDAR ( www.insightlidar.com) today announced that its product, Insight 1600, is the first LiDAR with the combined high resolution and velocity detection to enable pedestrian gesture recognition. The new capability — demonstrated here — can be used by AV perception teams to quickly and accurately predict the actions of pedestrians.
Vice President of Business Development Greg Smolka explains, “When humans drive, we’re constantly scanning the environment around us. We’re watching for cars moving into our lane and looking at nearby pedestrians to see what they might do. For example, if a pedestrian looks both ways at an intersection, drivers understand that that person intends to cross the street.”
According to Insight LiDAR Vice President Chris Wood, detecting these subtle pedestrian movements that convey intent is an important safety capability that has eluded AV developers until now.
“When we initially designed Insight 1600, we expected its ultra-high resolution and instantaneous low velocity detection with every pixel to be critical in making vehicle decisions, especially regarding other vehicle movement,” Wood said. “However, we’ve been surprised by all the ways perception teams are using this critical information. From separating close objects and more accurately identifying distant ones to now predicting pedestrian movement, we’re seeing how important this data is to safe AV operation.” Wood reports that Insight LiDAR’s FMCW sensors are believed to have the lowest minimum detectable velocity on the market.
P.S.
Still very early Auto days.
L4 & 5 where all the bits are.
Bit intensity ONLY soars from here.
ASML |
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| From: BeenRetired | 4/8/2021 12:20:16 PM | | | | | | [Intel] Habana AI Accelerators Chosen by the San Diego Supercomputer Center to Power Voyager Research Program
SHANNON DAVIS
12 MINS AGO
00 VIEWS
Habana Labs, a developer of purpose-built deep learning accelerators for a wide range of data centers, today announced that its artificial intelligence (AI) training and inference accelerators have been selected by the San Diego Supercomputer Center (SDSC) at UC San Diego to provide high-performance, high-efficiency AI compute in its Voyager supercomputer. Scheduled to be in service in the fall of 2021, Voyager will be dedicated to advancing AI research across a range of science and engineering domains. The system build-out, as well as ongoing community support and operations, are funded by the National Science Foundation.
The Voyager supercomputer will employ Habana’s unique interconnectivity technology to efficiently scale AI training capacity with 336 Gaudi processors, which are well architected for scaling large supercomputer training systems. Gaudi is the industry’s only AI processor to natively integrate ten 100-Gigabit Ethernet ports of RoCE RDMA v2 on chip, enabling flexibility of scaling and avoidance of throughput bottlenecks that can limit scaling capacity. The Voyager system will also employ 16 Habana Goya processors to power AI inference models.
“With innovative solutions optimized for deep learning operations and AI workloads, Habana accelerators are ideal choices to power Voyager’s forthcoming AI research,” said Amitava Majumdar, head of SDSC’s Data Enabled Scientific Computing division and principal investigator for the Voyager project. “We look forward to partnering with Habana, Intel and Supermicro to bring this uniquely efficient class of compute capabilities to the Voyager program, giving academic researchers access to one of the most capable AI-focused systems available today.”
Habana Gaudi AI training and Goya inference processors are architected to drive performance and efficiency in AI operations. They will provide data scientists and researchers with access to Voyager with flexibility to customize models with programmable Tensor Processor Cores and kernel libraries, and ease implementation with Habana’s SynapseAI® Software platform, supporting popular machine learning frameworks and AI models for applications such as vision, natural language processing and recommendation systems.
Supermicro, a Voyager technology partner and global leader in enterprise computing, storage, networking solutions, and green computing technology, will provide Habana-based AI systems to SDSC for Voyager:
Supermicro X12 Gaudi AI Training System (SYS-420GH-TNGR) featuring eight Gaudi HL-205 cards paired with dual-socket 3rd Gen Intel® Xeon® Scalable processorsSupermicro SuperServer 4029GP-T featuring eight Goya HL-100 PCIe cards for AI inference, paired with dual-socket 2nd Gen Intel® Xeon® scalable processors.“Combining Supermicro’s advanced application-optimized server and storage hardware with Habana’s AI training and inference products is precisely the best solution for SDSU’s multi-year Voyager AI project,” said Ray Pang, Vice President Technology and Business Enablement, Supermicro. “We continue to work closely with leading innovators to deliver solutions for computationally intensive projects worldwide at leading research and HPC environments for science and medical discovery, compute, and leading-edge AI solutions.”
“We are honored that Habana’s AI processors have been selected to power the AI workloads that will run on San Diego Super Computing’s Voyager supercomputer,” said Eitan Medina, Chief Business Officer at Habana. “This implementation of our Gaudi and Goya products showcases how top academic institutions like SDSC can harness efficiency and performance to effectively address the growing demands of AI research workloads.”
The first three years of Voyager’s operation will be the Testbed Phase, during which SDSC will work with select research teams from astronomy, climate sciences, chemistry, particle physics, and other fields to gain AI experience and insights leveraging Voyager’s unique features. Throughout the Testbed Phase, SDSC will share experiences with the AI research computing community and documentation developed during the Testbed Phase to serve as a resource for an expanded user base.
“The level of performance and efficiency that Voyager will require is precisely what Intel architectures are designed for,” said Trish Damkroger, vice president and general manager of Intel’s High Performance Computing group. “Our Xeon Scalable processors coupled with Habana AI accelerators will ensure Voyager’s users have the HPC and AI capabilities they need to power their game-changing research.” |
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| From: BeenRetired | 4/8/2021 1:10:07 PM | | | | | | AWS straps Python support to its automated CodeGuru tool, slashes prices ["up tp 90%"] – just don't go over 100,000 lines
Or the cost triples, which is one way to encourage concise programming
Tim Anderson
Wed 7 Apr 2021 // 19:06 UTC
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AWS has declared Python support in its automated code review system CodeGuru production ready, as well as reducing the price by "up to 90 per cent."
Our first look at the CodeGuru preview in late 2019 was disappointing. We had trouble getting it to make any recommendations, and the price at $0.75 per 100 lines of code seemed excessive – though any code review system is well worth it if it finds issues that prevent bugs or security problems making their way into production.
Since then, AWS has made a number of improvements, including a preview of Python support (alongside Java) in December last year. "We analyzed large code corpuses and Python documentation to source hard-to-find coding issues and trained our detectors to provide best practice recommendations," said the company.
There is also a catch: if developers perform more than two "full repository scans" there is a further $10 fee per scan
Python support is now generally available, and AWS said it has extended coverage with over 40 new rules and three new detectors, these referring to the categories of issues CodeGuru can identify.
The new detectors cover code maintainability, which claims to identify code complexities among other things, input validation, and resource leaks. These are in addition to existing detectors, which include correct use of AWS APIs, Java and Python best practices, concurrency issues, leak of sensitive information, common coding errors, and unnecessarily duplicated code.
The company has also had a look at its pricing for CodeGuru, needed because the old model could prove expensive. The mechanism for the code analysis has always been that the developer associates the service with a code repository, and analysis is triggered by code commits.
Supported repositories are the little-used AWS CodeCommit, Atlassian Bitbucket, GitHub, both cloud and self-hosted, and code dumped into Amazon S3.
The new pricing model is "a fixed monthly rate determined by the total lines of code across off of [a customer's] on-boarded repositories," AWS said this week, charged at $10 per month for the first 100,000 lines of code, and $30 for each additional 100k lines of code.
We are not sure why the price escalates rather than reducing as you add more code; maybe it will help to discourage code bloat. There is also a catch: if developers perform more than two "full repository scans" there is a further $10 fee per scan.
Despite these caveats, the service does seem a lot more affordable than before; the company states that it is "a price reduction of up to 90 per cent."
While this sounds impressive, some users of the service apparently still struggle with the issue we encountered with the early preview: that CodeGuru refuses to make any recommendations. This discussion on the AWS developer forum states that "on a codebase of nearly 100,000 lines, only 4 recommendations. All not relevant."
Getting the balance right for this type of automated code scan is challenging. If the developer sees thousands of recommendations, they may just be ignored. Few or none raises the strong suspicion that the service is not working correctly.
This is a crowded market; there are numerous static analysis tools out there, and IDEs like Eclipse, IntelliJ IDEA, and Visual Studio come with built-in tools. These will not pick up AWS SDK best practices, nor do they have the resources of AWS machine learning behind them, but having improved its pricing, the key question is how effective it is at coming up with useful recommendations. ® |
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| From: BeenRetired | 4/8/2021 1:25:22 PM | | | | | | Optane:
Ice Lake scales MemVerge in-memory SW to new heights
By Chris Mellor
April 8, 2021
Updated Memory Machine software from MemVerge runs applications faster with support for Ice Lake CPUs and increased memory capacity.
MemVerge CEO Charles Fan issued this announcement: “Memory Machine v1.2 is designed to allow application vendors and end-users to take full advantage of Intel’s latest Xeon Scalable processor and Optane memory technology.”
MemVerge’s Big Memory software virtualizes DRAM and Optane persistent memory (PMem) tiers into a single resource pool to host applications and their working data set in memory and so avoid making time-sapping storage IO calls to SSDs or disk drives.
 Blocks & Files diagram showing Memory Machine concepMemory Machine 1.2 supports four to 80 Ice Lake cores and up to 6TB of DRAM + Optane PMem 200 storage-class memory per Ice Lake CPU. There is 32 per cent more bandwidth than with Optane PMem 200 than PMem 100 drives.
Newly-announced Ice Lake gen 3 Xeon CPUs run faster than gen 2 Xeons which speeds up in-memory apps. Ice Lake also supports more memory sockets – 8 rather than 6 – giving 2TB DRAM capacity per CPU, instead of the prior 1.5TB. Ice Lake Gen 2’s Optane PMem support bulks up the overall per-CPU memory capacity to 6TB from gen 2 Xeon’s 4.5TB maximum. This extra capacity means more and larger in-memory applications can run and execute faster.
Storage Review testing showed that Memory Machine 1.2 running with dual 40-core Ice Lake CPU, 512GB DRAM, and 2TB of Optane PMem 200 provided 2x read performance and 3x write performance of a dual 26-core gen 2 Cascade Lake Xeon system with 192GB DRAM and 1.5TB of PMem 100 capacity.
MemVerge’s press announcement includes a quote from Mark Wright, technology manager for Chapeau Studios: “Initially, we opened a poly-dense scene in Maya and it took two-and-a-half minutes [from storage]. Then, we opened a scene from a snapshot we’d taken with Memory Machine and it took eight seconds.”
V1.2 Memory Machine adds:
Centralised Memory Management for configuration, monitoring, and alerts for DRAM and PMem across the data centre,Redis and Hazelcast Cluster high-availability through coordinated in-memory snapshots to enable instant recovery of the entire cluster,Double the OLPT performance of Microsoft SQL Server on Linux ,Support for QEMU-KVM hypervisor with dynamic tuning of DRAM:PMem ratio per VM, and minimised performance degradation caused by noisy neighbours, Autosaving and in-memory snapshots allow animation and VFX apps to provide Time Machine capabilities that allow artists to share workspaces instantly and recover from crashes in seconds.MemVerge expects the software upgrade will accelerate single-cell genome analytics but has not yet published figures demonstrating this.
The company has joined the CXL consortium, which is developing coherent bus technology to enable remote access to pools of memory. The company has also set up labs at Arrow, Intel, MemVerge, Penguin Computing, and WWT that are equipped for Big Memory demonstrations, proof-of-concept testing, and software integration. |
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| From: BeenRetired | 4/9/2021 6:39:00 AM | | | | | | LEVI CC: "Our total digital ecosystem grew 36%"...
I've followed enough Retail for years to know the winners are those who embrace Tech. Not dabble.
Dots child's play.
It's all about Digital, stupid.
And,...
This is JUST the start.
And,...
Bit ONLY soar from here.
ASML
Our own e-commerce business grew 25% in the first quarter and increased to 10% of total company revenues. An increasing share of consumer demand continues to be fulfilled by omni capabilities we’ve rolled out in the last year. These include ship from store, associate ordering, BOPIS and two-day shipping. We initially launched these in the U.S. and are now expanding them globally. We recently saw our largest week of sales from associate ordering, a capability that helps ensure we don’t miss a sale and caters to how younger consumers are shopping, behaviors we expect will stick beyond the pandemic. We’re just scratching the surface as these omni capabilities scale they’re becoming increasingly more meaningful.
Our NextGen Store rollout continues around the globe. We’ve opened our first NextGen Store in the Middle East, an ultra-premium store in the Dubai Mall, one of the largest malls in the world shopped by 80 million people annually. We’re leveraging AI to continue to accelerate our digital transformation within direct-to-consumer, a new product recommendation engine on levi.com now personalizes the individual experience online based on consumer profiles and browsing and purchase patterns showing increases in revenue and conversion. Loyalty program membership increased by 35% in the last quarter to more than 5 million members globally and revenue contribution from our mobile app is exceeding expectations and continues to grow month-over-month. We are reaching a younger consumer who is engaging with us more times per month and longer per visit.
We’re using the app as a seamless connector for the online to offline experience and are piloting new convenience oriented in-store features like contactless returns and self-checkout. And we continue to diversify the business. On the international front our developing markets of China, India, and Russia all had great first quarters and represent significant growth opportunities. Despite the lockdowns first quarter sales of women’s bottoms in Europe exceeded Q1 2019 in net revenues. In our top 10 wholesale accounts revenues from our women’s business grew double digits as compared to a year ago. And our wholesale channel continues to transform and become healthier with a higher share of business in digital, mass, premium, and with financially healthy retailers.
Our total digital ecosystem grew 36% and comprised 26% of total company first quarter revenues up from 16% a year ago. The opportunity in digital remains huge and we aspire to grow this over time to a third of our business. All these efforts are driving higher AURs resulting from premiumization, product mix and pricing. And we have additional pricing opportunities going forward on the back of the brand strength. Finally before I turn it over to Harmit I’d like to take a moment to share some of the things we’re doing on the ESG front. We continue to make progress on our goals for climate and water and in becoming a more environmentally resilient company. We recently rolled out new greenhouse gas emission targets to all our key suppliers. |
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| From: BeenRetired | 4/9/2021 6:48:55 AM | | | | | | Strong Chromebook shipments to buoy chip suppliers in 2Q21
Cage Chao, Taipei; Joseph Tsai, DIGITIMES
Friday 9 April 2021
Taiwan-based IC design houses including MediaTek, Elan Microelectronics and Integrated Technology Express (ITE) continue to enjoy a strong pull-in of orders for Chromebooks, which will boost their respective revenues to record highs in the second quarter
P.S.
Love it.
The cure for House of WinTel was House of Wintel. Steroidal Stagnation created simply yuge innovation.
Competition now abounds in Hardware and Software.
Disruption way good for bits.
ASML |
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| From: BeenRetired | 4/9/2021 7:03:05 AM | | | | | | Acer optimistic about 2Q21 shipments in Asia Pacific
Aaron Lee, Taipei; Joseph Tsai, DIGITIMES
Wednesday 7 April 2021
Acer expects shipments into Asia Pacific to grow sequentially in the second quarter (Banal from home deleted. Really, really bugs the krapp out of me.)
Hou pointed out that the recovery of the Asia Pacific PC market has been 1-2 quarters later compared to that in Europe and North America. Demand for PCs in the Asia Pacific market began picking up in the first quarter of 2021.
Acer has also continued its marketing and promotions of gaming products and activities in Asia Pacific and has hosted an e-sport tournament that will end on April 11, Hou noted.
Because of component shortages and lockdowns amid the pandemic, Acer's gaming product sales in Asia Pacific in 2020 were weaker than in previous years. Acer's gaming notebook sales increased only 34% on year in 2020, but sales of ultra-thin notebooks grew 55% and Chromebooks 389%, Hou said.
However, Hou expects Acer's consumer and enterprise notebook shipments to all grow from a year ago in 2021. Acer's revenues from Asia Pacific increased around 50% on year in the first quarter of 2021 with sales in the Philippines, Japan and Vietnam all doubling on year and those in Malaysia, Hong Kong and Singapore rising more than 50%.
In the first quarter of 2021, Acer's ultra-thin notebook sales in the Philippines, Vietnam, Malaysia, India and Indonesia doubled on year, while Chromebook sales in Indonesia, Japan, Thailand, Hong Kong and the Philippines were up more than 200% and gaming notebook sales in the Philippines and Vietnam also picked up over 200% on year, Hou said.
Hou expects PC demand to remain robust in the second half of 2021 due to seasonality, while orders from the education, government and enterprise procurement segments will also expand. Acer landed a total of US$49 million worth of procurement orders in the first quarter of 2021.
The company in the second quarter of 2021 will also have a chance to obtain procurement orders from Indonesia, Japan, India and the Philippines, with projects from them totaling US$128 million. |
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| From: BeenRetired | 4/9/2021 7:06:49 AM | | | | | | Wistron sees over 50% surge in notebook shipments in 1Q21
Aaron Lee, Taipei; Joseph Tsai, DIGITIMES
Friday 9 April 2021
Wistron shipped a total of 5.4 million notebooks in the first quarter of 2021, up 52.1% from a year earlier, while revenues grew by a slight 2% on year to NT$177.14 billion (US$6.23 billion). |
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| From: BeenRetired | 4/9/2021 7:28:53 AM | | | | | | Largan expects one quarter delay in shipments due to [chip] component shortages
Rebecca Kuo, Taipei; Adam Hwang, DIGITIMES
Friday 9 April 2021
Smartphone-use lens module maker Largan Precision expects delays of at least one month for its shipments due to short supply of CMOS image sensors and application processors, according to company CEO Lin En-ping.
Lin said the sensor supply chain has even been forced to suspend production for some high-resolution models.
But the delays in Largan's shipments will not result in changes to its product pricing that has already been set in the contracts with clients, Lin indicated.
Due to the components shortages, Largan expects April consolidated revenues to decline sequentially and the impact will remain in May, Lin said.
While 7P lens modules have been increasingly adopted for smartphone models, 8P models require stricter technological specifications for the time being, Lin noted, adding 9P ones are in design-in process but may not be adopted in 2021, Lin indicated.
Largan has begun shipping automotive lens modules in small volumes and will increase shipments if gross margins rise to reasonable levels, Lin said.
Of lens modules shipped in the first quarter, 20-megapixel and above models accounted for 20-30%; 10- to below 20-megapixel, 50-60%; 8- to below 10-megapixel, 0-10%; and below 8-megapixel, 10-20%. |
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| From: BeenRetired | 4/9/2021 7:37:03 AM | | | | | | Backend houses see order visibility for CIS, sensor chips through 4Q21
Julian Ho, Taipei; Willis Ke, DIGITIMES
Friday 9 April 2021
Backend houses continue to enjoy strong demand for processing IP camera chips and CMOS image sensor (CIS) chips, with their order visibility clear through the fourth quarter of 2021, according to industry sources.
Also:
Strong sensor demand to buoy suppliers in 2021
Julian Ho, Taipei; Joseph Tsai, DIGITIMES
Wednesday 7 April 2021
Demand for CMOS image sensor (CIS) and other sensors is set to be robust this year, driven by a surge in demand for video conferencing, security surveillance and automotive electronics applications, and benefiting related suppliers, according to indsutry... |
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