If you are looking for an answer to the question What is Artificial Intelligence? and you only have a minute, then here's the definition the Association for the Advancement of Artificial Intelligence offers on its home page: "the scientific understanding of the mechanisms underlying thought and intelligent behavior and their embodiment in machines."
However, if you are fortunate enough to have more than a minute, then please get ready to embark upon an exciting journey exploring AI (but beware, it could last a lifetime) …
Nvidia is acquiring autonomous vehicle mapping company DeepMap to bolster the capabilities available of its DRIVE software. DeepMap's technology utilizes crowdsourced data from vehicle sensors to build high-definition maps that update continuously as the car drives. Ali Kani, vice president and general manager of Automotive at Nvidia, said DeepMap has "a proven track record and are entrepreneurial, nimble and engineering-focused. DeepMap meets a deep need in the industry, and together we will develop and extend these capabilities." Nvidia said it plans to continue working with DeepMap's partner ecosystem while also investing in new capabilities and services.
Chipmaker Nvidia is acquiring DeepMap, the high-definition mapping startup announced. The company said its mapping IP will help Nvidia's autonomous vehicle technology sector, Nvidia Drive. "The acquisition is an endorsement of DeepMap's unique vision, technology and people," said Ali Kani, vice president and general manager of Automotive at Nvidia, in a statement. "DeepMap is expected to extend our mapping products, help us scale worldwide map operations and expand our full self-driving expertise." One of the biggest challenges to achieving full autonomy in a passenger vehicle is achieving proper localization and updated mapping information that reflects current road conditions.
NVIDIA is to acquire DeepMap, a company that makes high-definition mapping technology for self-driving cars. "DeepMap is expected to extend our mapping products, help us scale worldwide map operations and expand our full self-driving expertise," said NVIDIA VP Ali Kani. DeepMap provides maps with high levels of precision. NVIDIA points out that maps accurate to within a few meters are fine for turn-by-turn GPS directions, but autonomous vehicles require greater accuracy. "They must operate with centimeter-level precision for accurate localization, [so that] an AV can locate itself in the world," NVIDIA wrote in a blog post.
Banks use AI to determine whether to extend credit, and how much, to customers. Radiology departments deploy AI to help distinguish between healthy tissue and tumors. And HR teams employ it to work out which of hundreds of resumes should be sent on to recruiters. These are just a few examples of how AI is being adopted across industries. And with so much at stake, businesses and governments adopting AI and machine learning are increasingly being pressed to lift the veil on how their AI models make decisions.
Unlike Alexa and Google Assistant, Siri has been limited to only Apple devices since it was introduced nearly a decade ago. That's changing this year, though -- Apple just announced that third-party devices would be able to take advantage of Siri as part of an update to the company's HomeKid system. Apple showed someone summoning Siri on an Ecobee thermostat. But based on the brief demo, it sounds like these third-party devices won't be full-fledged devices running Siri themselves. Instead, it'll relay the command to a HomePod mini which will then send the request. Apple specifically said that third-party companies won't be able to see those Siri commands.
As we increasingly move to use mixed reality (MR) as our predominant way to interact, the related headset will eventually evolve from an occasional use-focused device to something worn throughout the day. While this move to a more comprehensive mixed reality experience is still out toward the end of the decade, it will begin the blend of natural and virtual elements to no longer need things like signs as any surface can become a display platform. You might not even need a surface, granted spam likely would become a far more significant problem in that future timeframe, and tools blocking that change would become far more attractive. This advancement suggests that by 2050 our perceived universe will blend real physical devices and virtual elements, making it increasingly difficult to tell one from the other.
The last couple of weeks brought new gadgets from Apple, Google and others. We got to work testing the new Apple TV 4K, which Devindra Hardawar says is much better than the previous model based on the remote alone. Billy Steele listened to the new Pixel Buds A-Series, which are just as comfortable as last year's version and cost $80 less. Devindra also tested the NVIDIA RTX 3080 Ti, which provided him with some excellent ray tracing performance but will probably be difficult to get your hands on. And Mat Smith cleaned his apartment with the high-end Dyson V15, which uses lasers to help get your floors spotless.
We're pleased to announce that Plotly and NVIDIA are partnering to bring GPU-accelerated Artificial Intelligence (AI) & Machine Learning (ML) to a vastly wider audience of business users. By integrating the Plotly Dash frontend with the NVIDIA RAPIDS backend, we are offering one of the highest performance AI & ML stacks available in Python today. This is all open-source and accessible in a few lines of Python code. Once you've created a Dash RAPIDS app on your desktop, get it into the hands of business users by uploading it to DEK. No IT or devops team required .
NVIDIA NeMo is a conversational AI toolkit built for researchers working on automatic speech recognition (ASR), natural language processing (NLP), and text-to-speech synthesis (TTS). The primary objective of NeMo is to help researchers from industry and academia to reuse prior work (code and pretrained models and make it easier to create new conversational AI models. NeMo is an open-source project, and we welcome contributions from the research community. The 1.0 update brings significant architectural, code quality, and documentation improvements as well as a plethora of new state-of-the-art neural networks and pretrained checkpoints in several languages. NeMo is a PyTorch ecosystem project that relies heavily on two other projects from the ecosystem: PyTorch Lightning for training and Hydra for configuration management.
When considering the Apple TV 4K, you have to admire Apple's tenacity. Despite overwhelming evidence that most people prefer sub-$50 streaming dongles--or whatever software is built into their smart TVs--Apple is still sticking it out with a $179 streaming box. The company deigns not to sully its living-room experience with anything less than the fastest processors, the finest build materials, and the most bells and whistles--including the ability to operate as a HomeKit smart home hub and as a Thread border router. This review, however, will focus on the device's media-streaming prowess. The result is admittedly exquisite.