Open Source, Sport and Storage

Chronosphere raises $200M at a $1B+ valuation for cloud-native monitoring, adds granular, distributed tracing to its dashboard

TechCrunch

OCTOBER 7, 2021

The underlying large-scale metrics storage technology they built was eventually open sourced as M3. “Sitting at the intersection of the major trends transforming infrastructure software – the rise of open-source and the shift to containers – Chronosphere has quickly become a transformative player in observability.

Cloud

Cloud Sport Open Source Machine Learning

Spark NLP 5.1: Introducing state-of-the-art OpenAI Whisper speech-to-text, OpenAI Embeddings and Completion transformers, MPNet text embeddings, ONNX support for E5 text embeddings, new multi-lingual BART Zero-Shot text classification, and much more!

John Snow Labs

AUGUST 29, 2023

It’s a well-established principle: any LLM, whether open-source or proprietary, isn’t dependable without a RAG. Unified Support for All Major Cloud Storage (Azure, GCP, and S3) BART multi-lingual Zero-Shot multi-class/multi-label text classification and more! This holds true in our 5.1 setInputCol("text").setOutputCol("document")

Artificial Inteligence

Artificial Inteligence Azure Sport Storage

Here are all 20 companies from Alchemist Accelerator’s latest Demo Day

TechCrunch

JANUARY 25, 2022

Grandeur Technologies: Pitching itself as “Firebase for IoT,” they’re building a suite of tools that lets developers focus more on the hardware and less on things like data storage or user authentication. for groups like your neighborhood, school clubs and volunteer orgs.

Company

Company Software Review Systems Review Technical Review

Webinars

How to Easily Navigate Crypto Accounting in the Web3 Era

MORE WEBINARS

AI Chihuahua! Part II

d2iq

FEBRUARY 22, 2021

With open-source technology companies can actually get the best of everything. Open-source software is free to use, but teams have to invest quite a bit in selecting, introducing, using, and maintaining these technologies. So, why not roll your own platform based on top-notch technologies?

Machine Learning

Machine Learning Artificial Inteligence Software Review Open Source

Spark NLP 5.1: Introducing state-of-the-art OpenAI Whisper speech-to-text, OpenAI Embeddings and Completion transformers, MPNet text embeddings, ONNX support for E5 text embeddings, new multi-lingual BART Zero-Shot text classification, and much more!

John Snow Labs

AUGUST 29, 2023

It’s a well-established principle: any LLM, whether open-source or proprietary, isn’t dependable without a RAG. Unified Support for All Major Cloud Storage (Azure, GCP, and S3) BART multi-lingual Zero-Shot multi-class/multi-label text classification and more! This holds true in our 5.1 setInputCol("text").setOutputCol("document")

Artificial Inteligence

Artificial Inteligence Azure Sport Storage

Imperfections create connections

David Heinemeier Hansson

APRIL 12, 2024

And that's key to why it's the most iconic sports car ever made. You can configure the 4 slots with every combination of USB C, USB A, ethernet ports, HDMI ports, and additional storage you desire. The engine is in wrong place in a Porsche 911. It's hanging out the back, swinging the car like a pendulum. It has interchangeable ports?!

Linux

Linux Sport Open Source Travel

You can no longer afford time amnesia in your software systems.

The Agile Monkey

MARCH 14, 2023

Why making the extra investment on development time and data storage? The event stream is akin to a live sports broadcast, which can be paused to view specific details in a scene, replayed to analyze interesting moments from the past, or monitored in real-time to observe the most current data. Get in touch with us!

Artificial Inteligence

Artificial Inteligence System Software Machine Learning

Lumada Video Insights And DataOps Add Value to Video Assets

Hu's Place - HitachiVantara

JULY 1, 2019

Most retail businesses, transportation centers, sports facilities, and school campuses in London have cameras for surveillance purposes which are not counted in the 51,000 installed by the police. Video data is the most underutilized source of data today. The average person in London is captured on camera about 300 times per day.

Video

Video Artificial Intelligence Artificial Inteligence IoT

Data collection and data markets in the age of privacy and machine learning

O'Reilly Media - Data

JULY 18, 2018

I list a few examples from the media industry, but there are are numerous new startups that collect aerial imagery, weather data, in-game sports data , and logistics data, among other things. In light of recent headlines ( Facebook and Cambridge Analytica ), the general public is much more aware of data collection, storage, and sharing.

Machine Learning

Machine Learning Artificial Inteligence Data Marketing

Document Classification With Machine Learning: Computer Vision, OCR, NLP, and Other Techniques

Altexsoft

NOVEMBER 17, 2021

As today’s digital storages can serve large amounts of items, it becomes difficult to categorize them manually. Let’s say we analyzed a set of 50 articles about health and saw that all of them relate to 3 categories: psychology, nutrition, and sports. The same analysis is conducted with nutrition and sports categories.

Artificial Inteligence

Artificial Inteligence Machine Learning Systems Review Technical Review

Biohackers chase Johnny Mnemonic with ‘Pegleg’ implanted hard drive

The Parallax

AUGUST 12, 2019

It’s powered by an external battery that connects to the device via an induction coil, and its storage capacity is limited only by the size of the microSD card it contains. Laufer’s PirateBox was a former TP-Link portable Wi-Fi router that he had loaded with the custom, open-source software that powers PirateBoxes.

Wireless

Wireless Off-The-Shelf Internet Hardware

After a record year for Israeli startups, 16 investors tell us what’s next

TechCrunch

JANUARY 16, 2021

Any area that is exposed to mass physical engagement (pockets in travel, food, sports, etc.) I recently invested in three seed-stage companies that are in stealth mode: an open-source cloud infrastructure company, a people analytics (HR) SaaS company and a next-generation business-intelligence platform. are at risk.

Technical Review

Technical Review Software Review Trends Systems Review

Geospatial Anomaly Detection: Part 1 – Massively Scalable Geospatial Anomaly Detection with Apache Kafka and Cassandra

Instaclustr

MAY 15, 2019

As we will be using Cassandra for data storage, the Cassandra TTL mechanism may be adequate, or we may need a more sophisticated approach to expire events in hotspots faster than other more sparsely populated locations. – more commonly known as Geohashes. And not to be confused with Geohashing which is an (extreme?)

Scalability

Scalability Data System Sport

CTO Universe

Chronosphere raises $200M at a $1B+ valuation for cloud-native monitoring, adds granular, distributed tracing to its dashboard

Spark NLP 5.1: Introducing state-of-the-art OpenAI Whisper speech-to-text, OpenAI Embeddings and Completion transformers, MPNet text embeddings, ONNX support for E5 text embeddings, new multi-lingual BART Zero-Shot text classification, and much more!

Webinars

Trending Sources

Here are all 20 companies from Alchemist Accelerator’s latest Demo Day

Webinars

AI Chihuahua! Part II

Spark NLP 5.1: Introducing state-of-the-art OpenAI Whisper speech-to-text, OpenAI Embeddings and Completion transformers, MPNet text embeddings, ONNX support for E5 text embeddings, new multi-lingual BART Zero-Shot text classification, and much more!

Imperfections create connections

You can no longer afford time amnesia in your software systems.

Lumada Video Insights And DataOps Add Value to Video Assets

Data collection and data markets in the age of privacy and machine learning

Document Classification With Machine Learning: Computer Vision, OCR, NLP, and Other Techniques

Biohackers chase Johnny Mnemonic with ‘Pegleg’ implanted hard drive

After a record year for Israeli startups, 16 investors tell us what’s next

Geospatial Anomaly Detection: Part 1 – Massively Scalable Geospatial Anomaly Detection with Apache Kafka and Cassandra

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