Encryption Basics Everyone Should Know
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Encryption is a core component to security and a product of strong cryptography. What should you know as a casual user of the Internet, digital wallets or as an application developer.
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The expansion of AI services necessitates enhanced computational capabilities on edge devices. Temporal Event Neural Networks (TENNs), developed by BrainChip, represent a novel and highly efficient state-space network. TENNs demonstrate exceptional proficiency in handling multi-dimensional streaming data, facilitating advancements in object detection, action recognition, speech enhancement and language model/sequence generation. Through the utilization of polynomial-based continuous convolutions, TENNs streamline models, expedite training processes and significantly diminish memory requirements, achieving notable reductions of up to 50x in parameters and 5,000x in energy consumption compared to prevailing methodologies like transformers.
Integration with BrainChip’s Akida neuromorphic hardware IP further enhances TENNs’ capabilities, enabling the realization of highly capable, portable and passively cooled edge devices. This presentation delves into the technical innovations underlying TENNs, presents real-world benchmarks, and elucidates how this cutting-edge approach is positioned to revolutionize edge AI across diverse applications.Harnessing the Power of NLP and Knowledge Graphs for Opioid Research
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Folding is a recent technique for building efficient recursive SNARKs. Several elegant folding protocols have been proposed, such as Nova, Supernova, Hypernova, Protostar, and others. However, all of them rely on an additively homomorphic commitment scheme based on discrete log, and are therefore not post-quantum secure. In this work we present LatticeFold, the first lattice-based folding protocol based on the Module SIS problem. This folding protocol naturally leads to an efficient recursive lattice-based SNARK and an efficient PCD scheme. LatticeFold supports folding low-degree relations, such as R1CS, as well as high-degree relations, such as CCS. The key challenge is to construct a secure folding protocol that works with the Ajtai commitment scheme. The difficulty, is ensuring that extracted witnesses are low norm through many rounds of folding. We present a novel technique using the sumcheck protocol to ensure that extracted witnesses are always low norm no matter how many rounds of folding are used. Our evaluation of the final proof system suggests that it is as performant as Hypernova, while providing post-quantum security.
Paper Link: https://eprint.iacr.org/2024/257
From Natural Language to Structured Solr Queries using LLMs
This talk draws on experimentation to enable AI applications with Solr. One important use case is to use AI for better accessibility and discoverability of the data: while User eXperience techniques, lexical search improvements, and data harmonization can take organizations to a good level of accessibility, a structural (or “cognitive” gap) remains between the data user needs and the data producer constraints.
That is where AI – and most importantly, Natural Language Processing and Large Language Model techniques – could make a difference. This natural language, conversational engine could facilitate access and usage of the data leveraging the semantics of any data source.
The objective of the presentation is to propose a technical approach and a way forward to achieve this goal.
The key concept is to enable users to express their search queries in natural language, which the LLM then enriches, interprets, and translates into structured queries based on the Solr index’s metadata.
This approach leverages the LLM’s ability to understand the nuances of natural language and the structure of documents within Apache Solr.
The LLM acts as an intermediary agent, offering a transparent experience to users automatically and potentially uncovering relevant documents that conventional search methods might overlook. The presentation will include the results of this experimental work, lessons learned, best practices, and the scope of future work that should improve the approach and make it production-ready.
Essentials of Automations: Exploring Attributes & Automation Parameters
Building automations in FME Flow can save time, money, and help businesses scale by eliminating data silos and providing data to stakeholders in real-time. One essential component to orchestrating complex automations is the use of attributes & automation parameters (both formerly known as “keys”). In fact, it’s unlikely you’ll ever build an Automation without using these components, but what exactly are they?
Attributes & automation parameters enable the automation author to pass data values from one automation component to the next. During this webinar, our FME Flow Specialists will cover leveraging the three types of these output attributes & parameters in FME Flow: Event, Custom, and Automation. As a bonus, they’ll also be making use of the Split-Merge Block functionality.
You’ll leave this webinar with a better understanding of how to maximize the potential of automations by making use of attributes & automation parameters, with the ultimate goal of setting your enterprise integration workflows up on autopilot.
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- 1. E N C R Y P T I O N B A S I C S E V E R Y O N E S H O U L D K N O W
- 2. F I R S T R U L E O F C R Y P T O : D O N ' T R O L L Y O U R O W N C R Y P T O 2@NOTTRUPPI | @PAYDROPINC
- 3. B A D E X A M P L E S • AT&T’s Clipper Chip • BassOmatic • Telegram’s MTProto • Crown Sterling @NOTTRUPPI | @PAYDROPINC 3
- 4. A D D I T I O N A L R U L E S • Encryption is not the answer to security • Cryptography is not easy • Cryptography is not cheap @NOTTRUPPI | @PAYDROPINC 4
- 5. T H E R E A L I T Y • Algorithms will be broken • The time from acceptance to deprecation is shrinking • Be thoughtful how the cryptography is applied to your system @NOTTRUPPI | @PAYDROPINC 5
- 6. E X T I N C T I O N • RC2/RC4 • (X)DES • SHA-1 • MD2/MD4/MD5 • RSA < 1024bits • ECDSA - 160bits • SSL @NOTTRUPPI | @PAYDROPINC 6
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- 9. H O W T O R E D U C E R I S K • All device encryption • VPNs all the time • Encrypted applications (messaging, voice) • Multi-signature wallets • Use applications compatible with TPM • Physical hardware keys @NOTTRUPPI | @PAYDROPINC 9
- 10. R E S O U R C E S • Cryptocurrency Security Standard (CCSS) • Digital Asset Custody Standard (DACS) • NIST 800-175B • NIST FIPS 140-2 • NIST 800-90A @NOTTRUPPI | @PAYDROPINC 10
- 11. T H A N K YO U JASON TRUPPI @NotTruppi | @Paydropinc