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VisualCortex streamlines workflow for computer vision models with Weights & Biases

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Video analytics platform developer, VisualCortex, collaborates with technology partner, Weights & Biases, to automate and reproduce its ML model training practices

SYDNEY and SAN FRANCISCO, Aug. 10, 2023 /PRNewswire/ — VisualCortex – the Video Intelligence Platform connecting computer vision’s potential to real-world business outcomes – has adopted Weights & Biases‘ developer-first MLOps platform to systemize its end-to-end training process for Machine Learning (ML) models.

As foundational beta users of Weights & Biases recently-released ‘Launch’ module for automating ML workflows, VisualCortex’s ML team collaborated with Weights & Biases’ product team to help produce a scalable process for seamlessly managing and deploying training runs.

“Working closely with the Weights & Biases team, we’ve been able to provide feedback that’s been received with genuine thanks and then actually incorporated into their product – which is both rare and pleasing,” said VisualCortex Head of Machine Learning and Artificial Intelligence, Mike Seddon. “At VisualCortex, quickly delivering highly-accurate ML models, which can be reliably deployed into commercial environments, is a key differentiator for us and our clients in a competitive marketplace. To do that, we need to automate our training processes, easily determine which approaches are yielding the best results, and maximize the utilization of our ML training infrastructure at all times.”

“Weights & Biases is empowering us to efficiently execute and scale our training workloads, which enables us to get the most out of the hardware we use too,” said VisualCortex Co-Founder and CEO, Patrick Elliott. “We’ve integrated Weights & Biases into our core model training workflow as a source of truth and auditability. We can evaluate and compare many different model runs, perform sweeps to find data augmentations, and easily orchestrate disparate sets of compute nodes.

“We now have a robust ML model training process, which allows us to produce – and continually improve – highly accurate computer-vision-based insights for our clients. With Weights & Biases’ help, VisualCortex has the repeatable framework needed to bring video analytics into the mainstream.”

Weights & Biases VP of Product, Phil Gurbacki, said that gathering transparent product feedback from organizations training production-ready ML models was critical.

“Gathering input from professionals in the field – who are attempting to push the boundaries of ML model training, testing and deployment – is an important feedback loop for us,” said Gurbacki. “The team at Weights & Biases is proud to be helping VisualCortex develop and deliver market-leading models for people and vehicle-centric uses cases, including real-time object detection and action recognition, across a range of industries – from retail and commercial real estate, to car park management, smart cities and transport.”

Discover VisualCortex’s People Counting and Pedestrian Analysis Solution here:
https://visualcortex.com/people-counting-and-pedestrian-analysis-solution/

Discover VisualCortex’s Vehicle Counting and Traffic Management Solution here:
https://visualcortex.com/vehicle-counting-and-traffic-management-solution/ 

Read the full VisualCortex – Weights & Biases case study here:
https://wandb.ai/wandb_fc/visualcortex/reports/VisualCortex-Takes-Video-Analytics-to-the-Enterprise-with-W-B–Vmlldzo0OTAyODg1 

About VisualCortex

VisualCortex is making video data actionable in the enterprise. Its Video Intelligence Platform provides the stability and flexibility to productionize computer vision technology at scale. Able to be used for any video analytics use case in any industry, VisualCortex’s production-ready cloud-based environment transforms video assets into analyzable streams of data.

The VisualCortex platform delivers the artificial intelligence smarts, governance and usability, enabling organizations to connect any number of video streams, repositories and use existing commodity hardware. An intuitive user interface, out-of-the-box reporting, range of configurations and integrations empower non-technical people to produce, analyze and act on insights derived from computer vision throughout the enterprise. Organizations can easily combine these AI-generated video insights with other data sources and systems to facilitate both real-time operations and strategic analysis. The VisualCortex Model Store also provides a secure marketplace for customers, partners and independent machine learning experts to share quality controlled computer vision models

For more information, visit www.visualcortex.com

About Weights & Biases

Weights & Biases is the leading developer-first MLOps platform that provides enterprise-grade, end-to-end MLOps workflow to accelerate ML activities. Used by over 500k ML practitioners – including teams at OpenAI, Lyft, Blue River Technology, and Toyota – Weights & Biases is part of the new standard of best practices for machine learning.

For further media information, interviews and images, or product demonstrations, please contact:

Lachlan James, VisualCortex Chief Marketing Officer, on +61 (0)431 835 658 or [email protected] 

For regular updates, follow VisualCortex on Twitter (@VisualCortexApp), LinkedIn (VisualCortex), YouTube (VisualCortex) and Facebook (@VisualCortexApp).

For regular industry news and analysis, subscribe to VisualCortex’s mailing list here: https://visualcortex.com/contact-us/

Logo – https://mma.prnewswire.com/media/1846087/VisualCortex_Logo.jpg

Cision View original content:https://www.prnewswire.co.uk/news-releases/visualcortex-streamlines-workflow-for-computer-vision-models-with-weights–biases-301897631.html

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Blockchain Press Releases

Bitrue Gears Up for 2024 Bitcoin Halving with Trading Competition

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SINGAPORE, April 12, 2024 /PRNewswire/ — Leading cryptocurrency exchange Bitrue unveiled a new competition available to all users on the platform that comes with a total prize up to $850,000 USDT in a recent X announcement.

The contest is being held in honor of the much anticipated Bitcoin Halving – an event that occurs once every four years to regulate the supply of new BTC entering the digital asset economy, and helps ensure long-term value through scarcity of supply.

The competition will rank traders according to their trading volume on the exchange during the contest period. The competition begins on Thursday April 11th and will continue until the halving event occurs (estimated April 20th). The prizepool will increase according to the number of valid participants in the competition, with the grand prize winner set to take home 25% of the total reward (212,500 USDT). All participating users will have a chance to win prizes regardless of their final rank.

With all eyes on this historic event, Bitrue is thrilled to be able to offer an exciting and rewarding way for its 10 million users to mark the occasion and provide them with an opportunity to earn a life changing amount of money. Interested parties should sign up on the Bitrue exchange now in order to be ready for when the contest goes live on April 11th.

About Bitrue

Launched in July 2018, Bitrue is a diversified digital exchange that supports trading, loans and investments. Bitrue aims to utilize blockchain technology to bring financial opportunities to everybody regardless of their location or financial position. It has offices in Asia and Europe, and continues to develop new features at a rapid speed to fully service the new wave of the digital economy. More information is available at Bitrue’s website.

Logo – https://mma.prnewswire.com/media/2385358/Bitrue_BitrueOfficial_Bitrue_Logo.jpg 

Cision View original content:https://www.prnewswire.co.uk/news-releases/bitrue-gears-up-for-2024-bitcoin-halving-with-trading-competition-302115311.html

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Financial industry bodies defend permissionless blockchains against Basel Committee’s classification

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Five financial industry bodies have pushed back against the treatment of permissionless blockchains by a global banking supervision authority.

In December, the Basel Committee on Banking Supervision (BCBS) published a report on proposed amendments to bank capital requirements for digital assets, stablecoins, and tokenized assets.

The report classified all permissionless blockchains as high-risk, claiming that some risks could not be mitigated through existing solutions. BCBS was particularly concerned about banks’ lack of control over third parties who conduct most operations on these blockchains. It also warned about their privacy, finality, liquidity, and political, legal, and policy risks.

In response, five global financial industry regulators have defended permissionless blockchains. In a joint response, they stated that the industry “has all necessary expertise and robust compliance frameworks to fully identify, manage and mitigate these risks.”

The five are the International Swaps and Derivatives Association, the Global Financial Markets Association, the Institute of International Finance, the Futures Industry Association, and the Financial Services Forum.

Blockchain’s application in the financial industry is evolving, and regulators must not disincentivize banks from exploring the technology, the regulators stated. By putting up unnecessary hurdles, the BCBS would only push these institutions to the non-regulated shadow banking space, which would be riskier for them.

The regulators further noted that dozens of global banks have conducted successful pilots using permissionless blockchains. These pilots have shed more light on the technology’s application and allowed them to understand and control emergent risks.

The BCBS approach is unfair to blockchain and veers away from the regulator’s long-held “same asset, same risk” approach, they added.

“While we acknowledge that risk mitigation techniques are evolving for permissionless crypto assets…we are confident that solutions already exist in respect of specific use cases,” the five stated.

They believe deciding whether to build on permissionless blockchains should be left to the banks.

The financial sector has been a leader in blockchain adoption, with some, like JPMorgan (NASDAQ: JPM), developing their own permissioned networks, albeit unsuccessfully. However, most have relied on existing solutions to build applications spanning settlement, bond issuance, tokenization, etc.

Source: coingeek.com

The post Financial industry bodies defend permissionless blockchains against Basel Committee’s classification appeared first on HIPTHER Alerts.

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Partnership between Siren and Chainalysis to trace blockchain transactions and disrupt illicit activities

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Siren, the all-in-one investigation platform company on a mission to keep people, assets and networks safe, and Chainalysis, the blockchain intelligence platform, announced details of a strategic partnership at the annual Chainalysis Links event in New York.

As cryptocurrency becomes more mainstream and used by both good and bad actors, the partnership addresses the increasing need for more sophisticated intelligence technology to fight illicit cryptocurrency activity.

Chainalysis’ mission
Many believe cryptocurrency is the future, and it is expected that blockchains will soon be the world’s primary mechanism for the exchange of value. Chainalysis’ mission is to build trust in blockchains, setting the stage for the mass adoption of crypto in a way that gives participants safety and security.

Its data powers investigation, compliance, and market intelligence software that has been used to solve some of the world’s most high-profile criminal cases and grow consumer access to cryptocurrency safely.

AI-driven search functionality

Siren is an AI-driven investigative intelligence platform that is used by some of the world’s pioneering Law Enforcement, National Security and Cyber threat investigators. Siren connects and enriches local classified information with external vendor data as well as data available from public sources to identify patterns, actors and events.

Siren’s AI-driven search functionality dramatically reduces the complexity in searching for intelligence-like browsing the internet or shopping online anyone can search for intelligence links, regardless of technical abilities, across multiple data sources and get immediate results on both desktop and mobile devices. Using patented technology, Siren delivers a modern search experience at enterprise speed and scale, making advanced intelligence queries accessible to all across the organisation.

Chainalysis Investigations solution

Through the collaboration, illicit activity is easier to identify in real-time across multiple data sources, including Chainalysis’ on-chain data, allowing investigators and analysts to map addresses to named services, detect illicit activity as it happens, and build cases.

The Siren platform leverages the Chainalysis Investigations API (IAPI), part of the Chainalysis Investigations solution. The Investigations API is a REST-based API that programmatically helps to prioritise and accelerate investigations. This ensures investigation teams can focus on the most important cases with the highest likelihood of success. The IAPI enables data engineers and scientists to enrich existing datasets with Chainalysis insights to enhance large-scale investigations, surface new leads, and uncover previously unknown connections between different cases for deconfliction.

New York at Links 2024
John Randles, CEO of Siren, said: “Linking to crypto across multiple data sources is pivotal for investigators. We’re delighted to announce the partnership here in New York at Links 2024. We were lucky to attend a couple of Chainalysis events last year and experience first-hand how the synergies in our offerings and missions.”

John Randles will speak on Day Two of Chainalysis Links 2024 on the Intersection of AI and Crypto panel. Shannon Hughes, Senior Director, Head of Business Development and Partnerships commented: “Cryptocurrency is no longer just a niche specialty for elite cyber law enforcement units – our customers find connections to crypto across national security, crime, fraud, and cyber threats. This partnership enables investigators to combine Chainalysis data with other data sources to identify intelligence signals and actionable leads across specialties. This is the future of harnessing the transparency of blockchains to build a safer economic system.”

Source: sourcesecurity.com

The post Partnership between Siren and Chainalysis to trace blockchain transactions and disrupt illicit activities appeared first on HIPTHER Alerts.

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