Elon Musk's Neuralink, the venture working to bridging the gap between potential superhuman artificial intelligence (AI) and the human brain itself, is finally providing an update on the research it's been doing since its formation in 2016. The event will take place on July 16th in San Francisco for a select audience, and a live stream will be provided as well, according to the company's official Twitter account. "We're having an event next Tuesday in San Francisco to share a bit about what we've been working on the last two years, and we've reserved a few seats for the internet," the company posted. "It will also be livestreamed, for those who don't have the chance to come!" An update on Neuralink's research activity was teased in September last year by Musk during a live interview.

One of the biggest problems health plans face is dirty data, says Jordan Bazinsky, executive vice president and administrative officer at Atlanta-based Cotiviti. The healthcare solutions and analytics company reports having "several hundred" health insurance companies among its clientele, including 24 of the top 25 plans, he says. "Dirty data is one of the key problems that blocks health plans from finding insights from data," Bazinsky says. "You might be able to push data real-time, but if you can't trust the underlying kernel of data--all the other things can't be trusted." According to Bazinsky, Cotiviti uses data analytics to help payers achieve financial health through payment accuracy that is appropriate to the care delivered.

To take advantage of emerging software tools that incorporate artificial intelligence, healthcare organizations first need to overcome a variety of challenges. Some leading-edge organizations are beginning to do just that, focusing on machine learning, a subset of artificial intelligence (AI) that encompasses statistical methods in which computer systems recognize patterns or correlations in data by ingesting large sets of training data. They improve their performance, or "learn," over time as they incorporate new data; revising their approach as needed without human programmers updating the rules. In the healthcare industry, most machine learning applications are in the research stage. "There is not a ton of clinical use," according to Brian Edwards, independent validation consultant for AI vendors.

Among the many achievements of machine learning in recent years, some of the most striking are the victories of the machine against human players in games, such as Google's DeepMind group's conquest of Go in 2016. In such milestones, researchers are often guided by theoretical math that says there can be an optimal strategy to be found, given a good algorithm and enough compute. But what do you do when theory breaks down? Two researchers at Carnegie Mellon University and Facebook went back to the drawing board to solve "heads-up no-limit Texas hold'em," the most popular form of multiplayer poker in the world. Theory isn't computable for this form of the card game, so they designed some elegant search strategies for their computer program, "Pluribus," to beat the best human players in 10,000 hands of poker.

Please join Ericsson's IoT Studio for an evening event, "Unlocking the Value: Machine Learning and IoT," on July 16, 2019. We look forward to hosting you at D-Fifteen, Ericsson's innovation and collaboration space in Santa Clara for an evening of discussion on how IoT and Machine Learning work together to create business value. At this event, you will have the opportunity to learn from experts, network with your peers, enjoy refreshments and participate in a raffle for the chance to win an Apple Watch. We will feature a panel of Machine Learning experts from top companies representing the end-to-end IoT technology stack. The panel will be moderated by Daniel Elizalde, Ericsson's VP, Head of IoT for North America and will focus on practical insights that can be applied to companies today.

A clam shell may be a familiar find on the beach, but its intricate curves and markings tell a rich tale. For centuries, biologists have collected, drawn, measured and compared the shells of bivalve species, pursuing knowledge about how the environment and behavior shape biodiversity. Now, University of Chicago scientists are combining high-resolution 3-D imaging with new geometric deep learning approaches to reveal a fuller version of the story hidden in shells. Prof. David Jablonski has pioneered the study of the evolution and extinction dynamics in marine life for nearly four decades. But over the last two years, his research group has moved into the third dimension, using a campus micro-CT scanner to create 3-D images of more than 3,000 shells from clams, oysters, mussels, and other members of the bivalve class collected by scientists and museums around the world.

While accelerators have been around for some time to boost the performance of simulation and modeling applications, accelerated computing didn't gain traction for most people until the commercialization of the Tesla line of GPUs for general computing by Nvidia. This year marked the tenth annual Nvidia GPU Technology Conference (GTC). I have been to all but one starting with the inaugural event in 2009. Back then it was a much smaller group. Attendance has leaped 10X with this year's meeting attracting over 9,000 participants.

LG Electronics has tapped Dr. Darin Graham as the head of the LG Artificial Intelligence (AI) Lab in Toronto. Graham is an expert on AI networks and will be responsible for strengthening LG's North American AI capacity through strategic partnerships with industry and academia in Canada. Previously, Graham helped establish founding operations of the Vector Institute, a world-renowned artificial intelligence research organization. Further, he brings over 20 years of experience in leading innovative projects that bring creative ideas to the market. Graham has led several international research and development programs and was pivotal in building Canada's AI ecosystem.

The cylindrical vessel sports a futuristic design like a surfaced submarine, it's sleek hull sculpted to slice through waves with ease. But step on board and things are out of the ordinary. The living quarters have been removed. Cars may dominate today's discussion about the future of autonomous transportation but some of the world's largest maritime companies are betting big on autonomous shipping. Within the next decade, driverless ships like the one just described could be hauling cargo around the world.

Facial recognition is a booming business! It has transformed the way we live in 2019, opening up exciting possibilities and posing new dangers. At present, we use facial recognition when unlocking a smartphone or laptop, but it will soon play a major role in everything right from booking a taxi to ordering food. Facial recognition is a form of biometric authentication that uses body measurements to verify your identity. It identifies people by measuring the unique shape and structure of the face.