MegaMatcher 12 Multi-Biometric Product Line from Neurotechnology Includes Major Enhancements Across All Biometric Algorithms
The latest MegaMatcher 12 line of biometric solutions and SDKs, includes major upgrades to fingerprint, face, iris and voice algorithms for fast and highly accurate identification using single or multiple biometric modalities.
Vilnius, Lithuania – September 29, 2020 – Neurotechnology, a provider of deep learning-based solutions and high-precision biometric identification technologies, today announced the release of the new MegaMatcher 12 line of biometric on-premise and cloud solutions and software development kits (SDKs). The latest updates include algorithm enhancements that significantly improve recognition accuracy across fingerprint, face, iris and voice biometric modalities. The MegaMatcher 12 line includes the enhanced MegaMatcher Accelerator, for which the Extreme edition can now match up to 1.2 billion fingerprint, face or irises per second without a GPU. This greatly simplifies deployment without requiring installation of special hardware. And, most importantly, this high speed does not come at a cost of reduced accuracy – the Extreme edition’s recognition accuracy is the same as for other slower MegaMatcher Accelerator editions. Each biometric modality in MegaMatcher 12 can be used alone or in combination for fast and reliable identification.
“The MegaMatcher 12 line reflects the results of several years of achievements in our research and development, with improvements that make it easier to use biometrics at a large scale,” said Irmantas Naujikas, Director for Neurotechnology. “In addition to releasing this upgrade, we are also pleased to highlight that our algorithms continue to achieve top rankings by accuracy in the latest independent evaluations – including the first place in both NIST MINEX III and NIST PFT III, the second place in NIST IREX IX, the first place in FVC-onGoing fingerprint and palmprint verification – and, most importantly, they are proven in national scale biometric projects worldwide.”
Besides improved overall recognition quality for fingerprint, face, iris and voice modalities, other major enhancements in the new MegaMatcher 12 product line include:
- Fingerprint. Improved slap fingerprint quality assessment to detect incorrectly scanned images, such as only finger tips present or wrong hand or thumbs in a 4-4-2 scenario. There is a new finger liveness detection feature for fraud identification. And it also includes broader biometric standards support covering NFIQ 2.0 and enhancements to the fingerprint matching in MegaMatcher Accelerator Extreme, which can now achieve GPU-level matching speeds without a GPU.
- Face. Improved facial feature points detection as well as overall face detection.
- Iris. Matching algorithm improvements for MegaMatcher Accelerator Extreme edition, resulting in the higher matching speed – currently the same as for fingerprint and face modalities – up to 1.2 billion irises per second on single server.
- Voice. The latest voice algorithm includes improved text-independent recognition.
The Full MegaMatcher 12 Product Line
MegaMatcher ABIS – A complete biometric solution available as both an on-premise solution or a cloud service. MegaMatcher ABIS includes all of the algorithms and software necessary for the deployment of large-scale multi-biometric projects using fingerprint, face and/or iris biometrics. The turnkey biometric system is ready to use, or it can be customized to address particular business needs. Capabilities include identity management, deduplication, adjudication and a latent fingerprint editor among other features. The solution is designed for national ID, voter registration with record deduplication, passport issuance, border control, forensic/criminal investigations, government e-services, social services, banking systems, healthcare and other civil and private applications.
MegaMatcher Accelerator – MegaMatcher Accelerator is a combined software and hardware solution that provides high-speed, high-volume biometric identification for national-scale projects. It includes fingerprint, face, iris and palmprint modalities with an even faster and more robust set of algorithms and failover architecture that utilizes a peer-to-peer network structure. Nodes may also be added dynamically. It is available in several editions, including the Extreme edition, which is capable of matching 1.2 billion fingerprints per second, 1.2 billion faces per second or 1.2 billion irises per second on a single server without a GPU – making it well-suited for large scale biometric projects and short-timeline deduplication processes.
MegaMatcher SDK – MegaMatcher SDK is for the development of large-scale single- or multi-biometric systems for Microsoft Windows, Linux, macOS, iOS, Android and ARM Linux platforms. It includes the following biometric modalities as well as SDKs for them: fingerprint (VeriFinger), face (VeriLook), eye iris (VeriEye) and voice (VeriSpeak). The MegaMatcher SDK also includes a palm print modality. Each modality can be used alone or in any combination with other modalities.
MegaMatcher 12 products and the entire Neurotechnology biometric product line can be purchased from Neurotechnology and through distributors worldwide. A free 30-day trial is available and, as with all Neurotechnology products, the latest version is a free upgrade for existing customers. For more information, go to www.neurotechnology.com.
Neurotechnology is a developer of high-precision algorithms and software based on deep neural networks and other AI-related technologies. The company was launched in 1990 in Vilnius, Lithuania, with the key idea of using neural networks for various applications, such as biometric person identification, computer vision, robotics and artificial intelligence. Since the first release of its fingerprint identification system in 1991, the company has delivered more than 200 products and version upgrades. More than 3,000 system integrators, security companies and hardware providers in more than 140 countries integrate Neurotechnology’s algorithms into their products. The company’s algorithms have achieved top results in independent technology evaluations, including NIST MINEX, PFT, FRVT, IREX and FVC-onGoing.
Facebook Public Policy Director for India, South and Central Asia Ankhi Das Steps Down
Facebook’s public policy director for India, South and Central Asia, Ankhi Das, has stepped down to pursue interests in public service, the company said in a statement on Tuesday.
Earlier this month, Sunil Abraham was appointed by the social media giant as the public policy director for data and emerging technology.
Facebook Vice President & Managing Director India, Ajit Mohan, in a statement said, “Ankhi has decided to step down from her role in Facebook to pursue her interest in public service. Ankhi was one of our earliest employees in India and played an instrumental role in the growth of the company and its services over the last 9 years. She has been a part of my leadership team over the last 2 years, a role in which she has made enormous contributions. We are grateful for her service and wish her the very best for the future.”
The resignation comes weeks after Facebook and Das faced questions internally from employees over how political content is regulated in its biggest market, India.
Facebook is battling a public-relations and political crisis in India after the Wall Street Journal reported that Das opposed applying the company’s hate-speech rules to a politician from Prime Minister Narendra Modi’s party who had in posts called Muslims traitors.
In the US and around the world, Facebook employees are raising questions about whether adequate procedures and content regulation practices were being followed by the India team, sources familiar with discussions told Reuters. An open letter written to Facebook’s leadership by 11 employees on one internal platform, and seen by Reuters, demands company leaders acknowledge and denounce “anti-Muslim bigotry” and ensure more policy consistency.
The letter also demanded that Facebook’s “policy team in India (and elsewhere) includes diverse representation.” “It is hard not to feel frustrated and saddened by the incidents reported …We know we’re not alone in this. Employees across the company are expressing similar sentiment,” said the letter. “The Muslim community at Facebook would like to hear from Facebook leadership on our asks.”
Facebook has been under fire in recent years for its lax approach to fake news content, state-backed disinformation campaigns and violent content spread via its platforms.
Are iPhone 12 mini, HomePod mini the Perfect Apple Devices for India? We discussed this on Orbital, our weekly technology podcast, which you can subscribe to via Apple Podcasts, Google Podcasts, or RSS, download the episode, or just hit the play button below.
Linux Foundation: Latest trends and most-needed skills for open source jobs
The Linux Foundation jobs report shares what recruiters are looking for and which technologies are in demand.
Open source is still the leading software development environment for SMBs and the enterprise despite the current economic downturn and pandemic, according to the latest jobs report from The Linux Foundation.
“2020 has been a difficult year for all of us, but it’s encouraging to see that open source continues to provide abundant opportunities,” said The Linux Foundation Executive Director Jim Zemlin in a press release. “The Linux Foundation and our members will continue to work to provide technological advancements that benefit everyone while striving to make open source educational opportunities more accessible.”
SEE: Top 5 programming languages for systems admins to learn (free PDF) (TechRepublic)
Open source software is continuing to gain ground in the enterprise. A recent Red Hat survey revealed that 86% of IT leaders say the most innovative companies are using open source software. In that same survey, 77% of respondents said they plan to increase their use of open source software in the next 12 months.
This is the eighth year The Linux Foundation has produced the open source jobs report, and this is the first time the foundation worked with edX to produce it. The last report was completed in 2018. The 2020 Open Source Jobs Report found, “a shift of priorities for hiring organizations towards cloud-native technologies and increasing use of open source solutions despite the severe challenges currently facing businesses and IT pros.”
Desired skill sets
Linux, DevOps, cloud and security are the top skill sets wanted from potential employees. Among hiring managers, 74% say that Linux is the most in-demand skill they’re seeking in new hires.
According to the report, 69% of employers want employees with cloud and containers experience, up from 64% in 2018. And 65% of companies want to hire more DevOps talent, up from 59% in 2018. The report shows that 63% percent of hiring managers want employees who can architect solutions based on open source software. Security is also important with 48% of companies wanting this skill set in potential employees. Other desirable skills are knowledge of new tools, experience using open source development tools like Git, experience running projects already in production, and people who have previously worked on open source projects.
Most in-demand jobs
In 2018, 72% of companies were seeking to hire developers. In 2020, this has dropped to 59%. The most in-demand job is DevOps, with 65% of companies wanting to hire for this role, an increase from 59% in 2018. Engineers rank third, at 56%, and architects are at 41%. SysAdmins dropped to 35% in 2020, from 49% in 2018. The report theorizes this is because many SysAdmin roles evolved into DevOp ones.
Trends in hiring for open source jobs
Additional findings from the report:
- Among hiring managers, 81% said hiring open source talent is a priority for 2020, and they are more likely than ever to seek out pros with certifications.
- 56% of hiring managers plan to hire more open source professionals in the next six months compared to the last six months.
- 57% of hiring managers said hiring certified professionals is a priority, which is a significant increase from 47% in 2018.
- Finding sufficient talent with open source skills is difficult for 93% of hiring managers, up from 87% in 2018.
- Among employers, 57% say that training existing employees to gain necessary skills is the top tactic used in 2020.
- 70% of hiring managers say that employees have requested more open source training this year, compared to 64% in 2018.
- 60% of professionals surveyed would like for employers to cover the cost of certifications, up from 47% in 2018.
- 74% of hiring managers are willing to pay for certifications, up from 55% two years ago.
- 88% of employers say their company proactivity encourages diversity, up from 79% two years ago. Among employees, 70% feel their companies are making an effort to encourage diversity, an increase from 60% in 2018.
- 52% of companies surveyed say they activity recruit underrepresented individuals, an increase from 46% in 2018.
Why open source is so crucial
Adam Medros, edX president and co-CEO, said open source professionals are key to tech advancements around the world.
“We hope that the information in this report gives open source professionals a clear picture of the industry to inform their decisions around joining and creating teams, and informs organizations’ decisions around training and investing in their workers,” Medros said in a press release.
As with the last three Linux Foundation reports, the focus is on all aspects of open source software; the first four reports focused more specifically on Linux professionals.
edX and The Linux Foundation surveyed hiring managers and open source professionals from July 28 to Sept. 3, 2020. Hiring managers from corporations, SMBs, government organizations and staffing agencies were surveyed. More than 175 hiring managers responded. More than 900 open source professionals responded to a survey, with 74% indicating they’ve been working as an open source professional for three years or more.
Deep Unsupervised Drum Transcription | Technology Org
Deep learning-based models help to improve transcription systems. In this task, the score is estimated from the input audio. However, most of the current systems rely on supervised learning and require a large-scale annotated dataset.
A recent paper on arXiv.org suggests an unsupervised drum transcription system. It can test the estimation, measure the error, and correct itself, similarly to musicians learning to transcribe.
During the experiments, the system achieved strong performance compared to current supervised and unsupervised approaches. It can be generalized to different datasets while maintaining high performance if the distribution of tracks by style is warranted. Thus, it can be used for real-life drum transcription tasks. Also, the system could be extended to other instruments and combined with instrument recognition.
We introduce DrummerNet, a drum transcription system that is trained in an unsupervised manner. DrummerNet does not require any ground-truth transcription and, with the data-scalability of deep neural networks, learns from a large unlabeled dataset. In DrummerNet, the target drum signal is first passed to a (trainable) transcriber, then reconstructed in a (fixed) synthesizer according to the transcription estimate. By training the system to minimize the distance between the input and the output audio signals, the transcriber learns to transcribe without ground truth transcription. Our experiment shows that DrummerNet performs favorably compared to many other recent drum transcription systems, both supervised and unsupervised.
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