Genius.
March 2019 Workshop
Category: robotics/AI – Page 1,363
Marketing is one of the areas of business operations where it is widely predicted that artificial intelligence (AI) will drive enormous change. In fact, a McKinsey study found that, along with sales, it is the single business function where it will have the most financial impact. This means that if you’re a marketer and you’re not using AI, you’re missing out on the benefits of what is possibly the most transformational technology.
Actually, though, the chances that there are people out there doing marketing today and not using AI in any shape or form is somewhat unlikely.
Artificial intelligence is currently transforming marketing. Here, we look at the most exciting opportunities when it comes to using AI in marketing and explore where they are already being tapped.
The research is still a ways away from helping people who can’t communicate through speech.
An artificial intelligence can decode words and sentences from brain activity with surprising — but still limited — accuracy. Using only a few seconds of brain activity data, the AI guesses what a person has heard. It lists the correct answer in its top 10 possibilities up to 73 percent of the time, researchers found in a preliminary study.
The AI’s “performance was above what many people thought was possible at this stage,” says Giovanni Di Liberto, a computer scientist at Trinity College Dublin who was not involved in the research.
Developed by Facebook’s parent company, Meta, the AI could eventually be used to help people who can’t communicate through speech, typing or gestures.
Tang Yu will help in enabling a more effective risk management system.
A Chinese metaverse company has appointed a robot as its CEO! Yes, you read it right. It may sound straight out of a Sci-Fi movie but it is true. Chinese company, NetDragon Websoft develops and operates multiplayer online games and also makes mobile applications.
Recently, the Chinese gaming company announced the appointment of its new CEO ‘Ms. Tang Yu’. And…the CEO is an AI-powered virtual humanoid robot. Tang Yu has been appointed as the CEO of the company’s principal subsidiary, Fujian NetDragon Websoft. It has become the world’s first robot to hold an executive position.
In his new role at Inworld AI, John Gaeta aims to create more realistic AI characters for the metaverse.
Were you unable to attend Transform 2022? Check out all of the summit sessions in our on-demand library now! Watch here.
Artificial intelligence (AI) has been steadily influencing business processes, automating repetitive and mundane tasks even for complex industries like construction and medicine.
While AI applications often work beneath the surface, AI-based content generators are front and center as businesses try to keep up with the increased demand for original content. However, creating content takes time, and producing high-quality material regularly can be difficult. For that reason, AI continues to find its way into creative business processes like content marketing to alleviate such problems.
Cloostermans will become part of Amazon Robotics, Amazon’s division focused on automating aspects of its warehouse operations. The unit was formed after Amazon acquired Kiva Systems, a manufacturer of warehouse robots, for $775 million a decade ago.
Amazon continues to launch new machines in warehouses. In June, the company unveiled a package ferrying machine called Proteus, which it referred to as its first fully autonomous mobile robot. It’s also deployed other robots that can help sort and move packages.
In a blog post, Ian Simpson, vice president of Global Robotics at Amazon, said the company is investing in robotics and other technology to make its warehouses safer for employees.
Uber and Nuro signed a 10-year deal to use robot delivery pods to deliver food and other items in two cities: Mountain View and Houston.
Vocal biomarkers have become a buzzword during the pandemic, but what does it mean and how could it contribute to diagnostics?
What if a disease could be identified over a phone call?
Vocal biomarkers have amazing potential in reforming diagnostics. As certain diseases, like those affecting the heart, lungs, vocal folds or the brain can alter a person’s voice, artificial intelligence (A.I.)-based voice analyses provide new horizons in medicine.
Using biomarkers for diagnosis and remote monitoring can also be used for COVID-screening. So is it possible to diagnose illnesses from the sound of your voice?
Vocal biomarkers give us new opportunities in prevention also.
Let’s have a look at where this technology stands today.
At this year’s Conference on Machine Learning and Systems (MLSys), we and our colleagues presented a new auto-scheduler called DietCode, which handles dynamic-shape workloads much more efficiently than its predecessors. Where existing auto-encoders have to optimize each possible shape individually, DietCode constructs a shape-generic search space that enables it to optimize all possible shapes simultaneously.
We tested our approach on a natural-language-processing (NLP) task that could take inputs ranging in size from 1 to 128 tokens. When we use a random sampling of input sizes that reflects a plausible real-world distribution, we speed up the optimization process almost sixfold relative to the best prior auto-scheduler. That speedup increases to more than 94-fold when we consider all possible shapes.
Despite being much faster, DietCode also improves the performance of the resulting code, by up to 70% relative to prior auto-schedulers and up to 19% relative to hand-optimized code in existing tensor operation libraries. It thus promises to speed up our customers’ dynamic-shaped machine learning workloads.