CB Insights named Encord, the platform for data-centric computer vision, on its annual AI 100 ranking, a list showcasing the 100 most promising private artificial intelligence companies in the world. "However, this is just the beginning and we have exciting developments on the horizon – watch this space." "This is the sixth year that CB Insights has recognized the most promising private artificial intelligence companies with the AI 100. This year's cohort spans 13 industries working on everything from recycling plastic waste to improving hearing aids," said Brian Lee, SVP of CB Insights' Intelligence Unit. "Last year's AI 100 companies had a remarkable run, raising more than $6 billion, including 20 mega-rounds worth more than $100 million each. We're excited to watch the companies on this year's list continue to grow and create products and services that meaningfully impact the world around them." "We're honoured to not only be recognized as an innovative AI Startup but also as the only company within the computer vision bracket. The whole team has worked tirelessly from its humble beginnings to get to where we are today and for this effort to be recognized is great kudos to everyone," said Ulrik Stig-Hansen, Co-Founder & CEO at Encord.

Tractian, a machine intelligence company offering one of the most advanced industrial monitoring systems on the market, announced $15 million in Series A funding led by Next47, a global venture capital firm specializing in building category-defining B2B technology businesses. YCombinator and other previous investors also participated in the round. The new capital will allow the company to consolidate its position in the global market by extending operations from Brazil to Mexico and the U.S. and continuing rapid development of industry-leading products. "We know the industries that empower their frontline workers with best-in-class productivity tools have superpowers compared to others, and Tractian appears as the right arm of maintenance managers to manage their routines around the world" Tractian has developed streamlined hardware-software solutions designed to give maintenance technicians and decision-makers comprehensive oversight of their operations. With ease of installation and quick value generation at the heart of its customer approach, Tractian is democratizing access to sophisticated monitoring and analytics.

Pandion, the e-commerce delivery network powered by machine learning and led by Amazon Air Founder Scott Ruffin, has hired Lori Tenan as the company's first chief revenue officer (CRO). Tenan is a recognized leader in enterprise sales, having most recently led the post-purchase platform Narvar from its infancy to eight years of hyper-growth. "Since emerging from stealth a year ago, Pandion has used machine learning technologies to help Fortune 500 companies deliver millions of packages and provide an unmatched experience for their customers. Having Lori Tenan join as CRO will help identify new opportunities to augment our growth while ensuring our customer experience is best in class," said Scott Ruffin, Founder and CEO at Pandion. "Lori's experience and success in this space speaks for itself and with our ambitious plans for the year, this was the perfect time to bring Lori onto the Pandion team."

GrAI Matter Labs, a pioneer of brain-inspired ultra-low latency computing, announced that it will be unveiling GrAI VIP, a full-stack AI system-on-chip platform, to partners and customers at GLOBAL INDUSTRIE, May 17th-20th, 2022. "GML's'Life-Ready' AI provides solutions that here-to-fore were simply impossible at such low footprint and power." At GLOBAL INDUSTRIE, GML will demonstrate a live event-based, brain-inspired computing solution for purpose-built, efficient inference in a real-world application of robotics using the Life-Ready GrAI VIP chip. GrAI VIP is an industry-first near-sensor AI solution with 16-bit floating-point capability that achieves best-in-class performance with a low-power envelope. It opens up unparalleled applications that rely on understanding and transformations of signals produced by a multitude of sensors at the edge in Robotics, AR/VR, Smart Homes, Infotainment in automobiles and more.

DISCO, a leader in AI-enabled legal technology, officially opened the doors of its new office in New York City. Located at 335 Madison Avenue next to Grand Central Station, DISCO's New York office provides proximity to leading global law firms, international corporations, and an investor community that increasingly engages DISCO to explore new ways technology can deliver better legal outcomes. We are excited to announce that the doors of our New York office are officially open. With global headquarters in Austin, Texas and EMEA headquarters in London, DISCO is creating footholds in markets that are not only critical locations for the legal industry, but also provide access to top talent. DISCO is aggressively growing its sales, marketing, engineering, professional services, and human resources teams, and will build its New York office to accommodate multiple functions to best meet the needs of employees and customers.

As artificial intelligence and machine learning technologies continue to be developed, they may become powerful tools in many fields, including that of medicine. AI, complementing human experience and judgement, has already shown promise as a prognostic tool. Recent research using an AI program to help identify, from the results of chest scans, the risk of lung cancer is an example of the technique in action. Lung cancer is the second most common form of cancer worldwide, according to the World Cancer Research Fund. In Australia, it is the leading cause of cancer deaths and Cancer Australia estimates lung cancer accounted for 17.7% of all deaths from cancer in 2021.

As a result, companies have gone through a decade's worth of digital transformation in just a matter of months, with the pandemic forcing them to refresh archaic processes with AI, machine learning, and data science technologies. Such technological advancements will continue to evolve and further establish themselves as a critical component to managing complex logistical landscapes – from improving efficiency and mitigating the effects of a global labour shortage, to identifying more robust and dependable ways to move commodities. In a world where uncertainty is the only certainty, AI-enabled order and inventory visibility across shipments will also be vital to'keep the wheels in motion.' Most importantly, to provide real-time updates on changes to arrival times and to identify potential disruptions before and as they occur. Take the recent congestion issues at the Port of Los Angeles, for example.

The course material of this course is available freely. But for the certificate, you have to pay. In this course, you will learn the foundational TensorFlow concepts such as the main functions, operations, and execution pipelines. This course will also teach how to use TensorFlow in curve fitting, regression, classification, and minimization of error functions. You will understand different types of Deep Architectures, such as Convolutional Networks, Recurrent Networks, and Autoencoders.

It is hard, looking at the current technological landscape, to believe that artificial intelligence may actually be facing a reckoning that could cause investment in the field to dry up. Yet increasingly, the sentiment being expressed by those who work most with AI is that we may be heading for a wall. There are several solid reasons for this concern. Alan Morrison recently noted that what is more recently referred to as Artificial Intelligence can be divided into about five different buckets. The first, from within the realm of Data Science, is the use of stochastic (probability-based) algorithms used in conjunction with large data sets to perform what amounts to predictive analytics.

The fourth industrial revolution has been a game-changer, with the global economy's expansion driving the adoption of new technologies across sectors. Manufacturers are using AI software in product design, production, supply chain, and logistics. AI analytics and data are helping in improving product quality and efficiency. Advances in machine learning, artificial intelligence (AI), and Big Data have initiated an algorithm-based era. Today companies are able to automate multiple tasks, cutting down on errors as well as downtime and expenditures associated with them using AI.