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Top 10 Big Data Startups in the United States to Watch In 2020

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Data is growing by leaps and bounds, the convergence of extremely large data sets both structured and unstructured define Big Data. The increasing awareness of the Internet of Things (IoT) devices among organizations and volume, variety, velocity and veracity at which data is generated have caught the attention of the enterprise in a bid to enhance digital technologies and guide digital transformation. Analytics Insights eliminates that the big data market size will grow at a CAGR of 10.9%, globally from US$ 193.5 billion in 2020 to US$ 301.5 billion by 2023. This region is witnessing significant developments in the big data market gaining remarkable traction in the BFSI industry vertical. Numerai is the world's first hedge fund, to predict the stock market.


Why IBM Decided to Halt all Facial Recognition Development

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In a letter to congress sent on June 8th, IBM's CEO Arvind Krishna made a bold statement regarding the company's policy toward facial recognition. "IBM no longer offers general purpose IBM facial recognition or analysis software," says Krishna. "IBM firmly opposes and will not condone uses of any technology, including facial recognition technology offered by other vendors, for mass surveillance, racial profiling, violations of basic human rights and freedoms, or any purpose which is not consistent with our values and Principles of Trust and Transparency." The company has halted all facial recognition development and disapproves or any technology that could lead to racial profiling. The ethics of face recognition technology have been in question for years. However, there has been little to no movement in the enactment of official laws barring the technology.


AI supports assembly specialists

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Artificial intelligence (AI) enables machines to recognize objects. For this purpose, large amounts of high-quality image data are required to manually train the algorithms. Kimoknow, a startup established at Karlsruhe Institute of Technology (KIT), has now developed a technology to automate this training. It is tested in cooperation with Elabo GmbH at the Center for Artificial Intelligence Talents (CAIT). "Training of AI systems for the recognition of objects still is time-consuming, inflexible, expensive, highly environment-dependent, and associated with a high computation expenditure," says Lukas Kriete, one of the founders of Kimoknow.


Palmer Luckey's startup will build a 'virtual' border wall

Engadget

It's no secret that Palmer Luckey's Anduril Industries has been developing a "virtual wall" to heighten national security -- he's been at it for the better part of three years. That work (for better or worse) has finally paid off. According to a new report from the Washington Post, the Trump administration awarded Anduril a lucrative five-year contract to erect hundreds of AI-powered surveillance towers along the U.S.-Mexico border by 2022. "These towers give agents in the field a significant leg up against the criminal networks that facilitate illegal cross-border activity," said Border Patrol Chief Rodney Scott in a statement released by U.S. Customs and Border Protection. Anduril's hardware almost looks like it belongs in orbit, rather than sitting amid desert scrub.


Top Artificial Intelligence Investments in June 2020

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Artificial Intelligence is growing at a faster pace. With this faster pace, it is also attracting a series of funding and financial investments. Let's go through some of the important investments in artificial intelligence companies in June 2020. Portuguese startup Replai, which utilizes AI-driven short-videos to draw in sports fans, has brought €1.2 million up in seed financing. The round was driven by Bright Pixel, alongside Ideias Glaciares, Clever Advertising and other c-level business angels from Whatsapp, Playrix, Nekki, Aptoide, Dashdash and Unbabel.


How Intelligent Is Your AI? – MIT Sloan Management Review

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Ask these four questions to tell if your AI solution is really AI. In a world where buzzwords come and go, artificial intelligence has been remarkably durable. Since it first emerged as a concept in the 1950s, there has been a relatively constant flow of technologies, products, services, and companies that purport to be AI. It is quite likely that a solution you are investing in today is being referred to as AI-enabled or machine-learning-driven. The reality today for most organizations is that AI and machine learning form a rather small piece of the overall analytics pie.


How This Startup Is Utilising AI To Add ROI On Top Of IoT Stack

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"AI and ML enhance the adoption of IoT by adding the Return on Investment (RoI) layer on top of the IoT stack for both businesses and consumers."- Utility and convenience have been one of the primary forces behind increased adoption of IoT in the Appliances and Consumer Electronics (ACE) sector in India. With Smart IoT powered appliances, end users can control and monitor appliances, set schedules, and automation rules using mobile apps and voice commands from voice assistants such as Google Home, Alexa, and Siri. Acknowledging this market trend, almost all major brands are adding IoT enabled appliances to their catalogue. From smart lighting to smart air conditioners and smart water purifiers, the Indian market has started witnessing the adoption of IoT products.


How Is Amazon Aiming To Set A Footprint In The Self-driving Industry?

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Amazon recently bought up a self-driving autonomous ride-hailing startup Zoox, which is being claimed as the most ambitious step that the tech giant has taken in the recent past. Reportedly a $1.2 billion deal, the acquisition of the Robo-taxi company is not just to build upon its capabilities to deliver packages but actively set foot in the autonomous driving industry. While Amazon has invested heavily in developing drones or autonomous delivery robots in the past, its investment in self-driving vehicles has recently gained traction. Some of the other ventures of the company have been in self-driving truck Embark when CNBC reported that it had been hauling Amazon cargo on some of its test runs. For instance, in drones, Amazon has designed a future delivery system to safely deliver packages to customers in a short period of time.


Tencent-backed Momenta begins robotaxi trials this fall

#artificialintelligence

Chinese startup Momenta will begin test runs by October of self-driving taxis that require no human input, the company said Tuesday, aiming to make its fleet fully driverless by 2024. The "level 4" autonomous vehicles -- which can drive themselves in limited areas -- initially will have a person in the driver's seat for safety reasons. Testing starts in the city of Suzhou, near Shanghai. Momenta, whose investors include German automaker Daimler and internet services giant Tencent Holdings, looks to turn a profit in 2024 and start large-scale operation around China by 2028. The announcement comes amid a rush into China's robotaxi market by companies such as Baidu and startups Pony.ai and AutoX.


An AI Researcher's Exploration of 200 Machine Learning Tools

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To better understand the landscape of available tools for machine learning production, I decided to look up every AI/ML tool I could find. After filtering out applications companies (e.g. companies that use ML to provide business analytics), tools that aren't being actively developed, and tools that nobody uses, I got 202 tools. Please let me know if there are tools you think I should include but aren't on the list yet! The landscape is under-developed IV. I categorize the tools based on which step of the workflow that it supports. I don't include Project setup since it requires project management tools, not ML tools.