In this post, we continue revealing BigML customer success stories that we kicked off with our last post detailing how a number of startups are basing their smart applications and services on the BigML platform. Those companies have profited from adopting BigML rather than taking the costly and risky approach of trying to build their […]
AI detecting the worst images the internet has to offer
Awesome, not awesome. #Awesome“Using just the language in millions of old scientific papers, a machine learning algorithm was able to make completely new scientific discoveries…Using just the words found in scientific abstracts, the algorithm was able to understand concepts such as the periodic table and the chemical structure of molecules. The algorithm linked words that were […]
Registration Open for 2nd Edition of Machine Learning School in Seville: March 26-27, 2020
Based on the successful reception of our First Edition, BigML, in collaboration with the EOI Business School, is launching the Second Edition of our Machine Learning School in Seville, which will take place on March 26 and 27, 2020. The #MLSEV will be an introductory two-day course optimized to learn the basic Machine Learning concepts and […]
Under the hood of the U.S. military’s facial recognition system
Awesome, not awesome. #Awesome“More women in India die from cervical cancer than in any other country. This preventable disease kills around 67,000 women in India every year, more than 25% of the 260,000 deaths worldwide…[a new] AI model can now differentiate between normal and abnormal [Pap] smear slides with accuracy and is currently under validation in […]
BigML Customer Success Highlights – Part 1
Our post on the 100,000 registered customers milestone this summer included an infographic of sample use cases being explored by BigML users, which naturally span many different sectors and industries. Today, we’d like to start a series of posts that further highlight a subset of those business problems to give our readers some clues on […]
Twitter blocking political ads and machine learning
Awesome, not awesome. #Awesome“…[I]t will be a while before more powerful machine-learning models will be able to predict your mental and physical reactions to a song with any precision… But the researchers are excited about how such models could be applied: to design music for specific individuals, to create highly evocative movie soundtracks, or to help […]
Monitoring 200 million kids to improve AI algorithms
Awesome, not awesome. #Awesome“AI is also helping Wrege unravel some other long-held elephant mysteries — like whether they have a language and how sophisticated it might be…Wrege envisions a time when it will be able to distinguish the sounds of distress or danger in the calls recorded in the forest [using a neural network]. Eventually maybe they’d be […]
Using machine learning to exploit poor populations
Awesome, not awesome. #Awesome“Doctors can detect heart failure from a single heartbeat with 100% accuracy using a new artificial intelligence-driven neural network…“[t]he application of organizational neuroscience, and specifically of neural network approaches to healthcare issues promises to open breakthrough frontiers for both clinical research and practice.”” — Nicholas Fearn, Journalist Learn More from Forbes > #Not Awesome“The rising use […]
Accelerating Machine Learning Adoption in the Automotive Industry
A few weeks ago, I had the chance to participate in the Ford Innovation Day organized by BigML partner Thirdware. The two-day event included innovation projects ranging from conversational agents to predictive maintenance systems leveraging Machine Learning. My presentation was titled the same as the title of this blog post, thus mainly concentrating on the […]
Did a human write this?
Awesome, not awesome. #Awesome“[H]ow can we defend and protect ourselves against the inevitable [natural] disasters to come?…Machine-learning technologies can help decision makers more accurately answer urgent questions such as: When will the disaster hit? How destructive will it be? What areas will be hit hardest, and how many people live and work in these areas? What […]