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32 artificial intelligence companies building a smarter tomorrow

From Google and Amazon to Apple and Microsoft, every major tech company is dedicating resources to breakthroughs in artificial intelligence.

Meanwhile, revolutionary breakthroughs like self-driving cars may not be the norm, but are certainly within reach.  As the big guys scramble to infuse their products with artificial intelligence, other companies are hard at work developing their own intelligent technology and services.

By highlighting only the most relevant and interesting information, businesses can make quicker decisions regardless of the staff's experience with data or analytics.

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Using non-invasive blood tests, the company’s AI technology recognizes disease-associated patterns, providing earlier cancer detection and better treatment options.

Industry: Fintech Location: New York, New York What it does: AlphaSense is an AI-powered search engine designed to help investment firms, banks and Fortune 500 companies find important information within transcripts, filings, news and research. The technology uses artificial intelligence to expand keyword searches for relevant content.

Its LiDAR technology focuses on the most important information in a vehicle’s sightline such as people, other cars and animals, while putting less emphasis on things like the sky, buildings and surrounding vegetation.

By fusing problem solving, learning and memory technologies together, the company can build systems that learn and adapt without human assistance.

Called CARA A.I., the company's tech can search within the language, jurisdiction and citations of a user's uploaded documents and return relevant searches from the database.

Industry: Cloud, Robotics Location: Santa Clara, California What it does: CloudMinds provides cloud robot services for the finance, healthcare, manufacturing, power utilities, public sector and enterprise mobility industries.

Its cloud-based AI uses advanced algorithms, large-scale neural networks and training data to make smarter robots for image and object recognition, natural language processing, speech recognition and more.

The company's 'human-in-the-loop' platform uses human intelligence to train and test machine learning, and has powered AI projects for major companies like Oracle, Ebay SAP and Adobe.

From financial and insurance needs to travel and healthcare, the intelligent products perform duties and answer questions for tech support, billing, scheduling, purchases and policy information.

Industry: Big Data, Software Location: Mountain View, California What it does: Orbital Insight uses geospatial imagery and artificial intelligence to answer questions and gain insights invisible to the naked eye. Using data from satellites, drones, balloons and other aircrafts, the company can provide insights and forecasts to the agriculture and energy industries that normally wouldn’t be available.

Industry: Software Location: San Francisco, California What it does: OpenAI is a nonprofit research company with a mission to create safe artificial general intelligence (AGI). AGI aims to create machines with general purpose intelligence similar to human beings. With a focus on long-term research and transparency, OpenAI hopes to advance AGI safely and responsibly.

Sift uses thousands of data points from around the web to train in detecting fraud patterns. The technology helps payment processors, marketplaces, e-commerce stores and even social networks prevent fraud.

The company, which boasts a mission to eventually create machines that surpass human intelligence, has serious backing from tech titans like Mark Zuckerberg, Jeff Bezos and Elon Musk.

Industry: Software, Healthtech Location: Berkeley, California (US office) What it does: Zebra Medical Vision develops technology for radiology and medical imaging, enhancing the diagnostic abilities of radiologists while maximizing focus on patient care.

These algorithms will ultimately help medical professionals detect high-risk patients earlier and manage growing workloads with more accurate outcomes.

Spanning the agriculture, pharmaceutical and chemical industry, the company enables faster cultivation of microbes through automation software and a huge catalog of physical and digital DNA data.

5 actionable steps to get your data ready for price optimization with ML

There’s a record amount of exciting Machine Learning (ML) and Deep Learning conferences worldwide and keeping track of them may prove to be a challenge.

This list provides an overview with upcoming ML conferences and should help you decide which one to attend, sponsor or submit talks to.

For some conferences we added remarkable speakers and discount codes.

Drop us a line here if you think of a conference that should be added to the list.

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Last update: May 2019 Our machine learning engineer Gonzalo will present his research paper Deep in the Dark – Deep Learning-based Malware Traffic Detection without Expert Knowledge 👏 Discount: Use the discount code AIBC25TRYOLABS to get 25% Tryolabs-discount on your ticket.

Discount: Use the discount code TRYOLABS to get 15% Tryolabs-discount on your ticket when registering here.

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Bitcoin, Ethereum, Ripple, Bitcoin Cash, EOS, Litecoin, Binance Coin, Stellar, Cardano, TRON: Price Analysis May 22

The views and opinions expressed here are solely those of the author and do not necessarily reflect the views of Cointelegraph.

Analysts believe that the rally in Bitcoin might witness a short-term blip but is likely to resume its up-move and reach $9,659 by year’s end.

The reason for the rise can be attributed to various positive developments in the crypto field and also to the ongoing trade war between the top two economies of the world, China and the United States.

The current recovery from the lows was backed by stronginstitutional flows, as indicated by the record volumes on the Bitcoin derivatives exchanges.

Even with all the controversy surrounding it, Tether continues to be the leader with trading volumes in 2019 already exceeding that of the entirety of 2018.

Early backers of EOS are likely to make huge returns on their initial investments if they sell out in the buyback offer announced by Block.one.

The seed round in 2017 had valued the company at $40 million, while the buyback offer values the company at $2.3 billion.

The bulls are finding it difficult to breakout of the overhead resistance at $8,496.53, but on the downside, the bulls are buying the dips to the 20-day EMA.

Contrary to our assumption, if the pair breaks out and closes (UTC time frame) above the overhead resistance, a rally to $10,000 will be in the cards.

On the downside, a break below the 20-day EMA and $6,933.90 support zone can plunge the pair to $5,900.

The bears have not been able to close (UTC time frame) below the 50-day SMA since breaking above it on February 17.

Conversely, if theXRP/USD pair rebounds off the 20-day EMA, it can rise to $0.45 and if this level is crossed, a new uptrend is likely.

On the other hand, if the bears sink theBCH/USD pair below the 20-day EMA, it can drop to the support line of the channel.

On the other hand, if the LTC/USD pair fails to break out of the overhead resistance, it might remain range bound for a few days.

If the bears break below the moving averages, the digital currency will weaken and can decline to the next support at $0.057898.

Conversely, if theADA/USD pair bounces off the moving averages, the bulls will again try to break out of the overhead resistance at $0.094256.

Tron (TRX) has been consistently rising above $0.02815521 for the past three days but is struggling to hold on to higher levels.

If the bulls succeed in sustaining the digital currency above $0.02815521, it can move up to the next target objective of $0.040.

Contrary to our expectation, if theTRX/USD pair breaks down of the moving averages, it will lose momentum and can drop to the support at $0.02094452.

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