With concerns around generative AI ever-present, Google has announced an expansion of its Vulnerability Rewards Program (VRP) focused on AI-specific attacks and opportunities for malice. As such, the company released updated guidelines detailing which discoveries qualify for rewards and which fall out of scope. For example, discovering training data extraction that leaks private, sensitive information falls in scope, but if it only shows public, nonsensitive data, then it wouldn't qualify for a reward. Last year, Google gave security researchers $12 million for bug discoveries. Google explained that AI presents different security issues than their other technology -- such as model manipulation and unfair bias -- requiring new guidance to mirror this.

Google has announced it is offering NVIDIA Tesla V100 GPUs for its HPC and machine learning cloud customers. But how will the company square this with its TPU cloud offering? Google's deployment of the V100 follows that of Amazon, IBM, and Microsoft, who have offered this GPU in their respective clouds for some time. Amazon was the first provider to make it available to cloud customers, when it rolled out its V100 instances in October 2017. The V100 is currently NVIDIA's most advanced accelerator, offering 7.5 teraflops of double precision performance for HPC and 125 teraflops of tensor mixed precision performance for machine learning.

"Developing a custom model often requires rare expertise and extensive resources," said Fei-Fei Li, Google Cloud AI's chief scientist. So her team developed a drag-and-drop interface. Users can just upload labeled photos of the items they want to be recognize. Jia Li, Cloud AI's head of R&D, says that a model can be created in a day with just a few examples of each item it needs to recognize. "The smallest quantity we've tried so far is like tens of images," she says.

Google is rolling out a flurry of products in Indonesia. Chief among the new additions are YouTube Go and Google Assistant. The announcements (made at its second annual Google for Indonesia event) tie into the web giant's plan to get its apps to the "next billion" internet users. Until now, this strategy has mainly focused on India. But, it seemed inevitable that Google would expand its reach to more emerging (mobile-first) countries.

Both Amazon and Google are advancing their efforts in machine learning, a type of artificial intelligence that lets computers learn without being explicitly programmed. It's often associated with cloud computing, because it requires the considerable computing power the cloud makes easily available. Amazon's efforts will get a boost when Alexander Smola, a professor in the machine-learning department at Carnegie Mellon University, leaves that position July 1 to head Amazon's cloud machine-learning platform. Smola revealed his plans in this blog post. "This is a terrific task, and it was an offer that I could not turn down," Smola wrote.