- Alphabet chairman Eric Schmidt says the US is at risk of falling behind in the race to develop cutting-edge artificial intelligence.
- “They are going to use this technology for both commercial and military objectives, with all sorts of implications,” said Schmidt, referencing a Chinese policy document outlining the country’s ambition to become the global leader in AI by 2030.
- Schmidt reiterated several familiar talking points in this debate, primarily that the US is failing to invest in basic research, and that a restrictive immigration policy hobbles the country’s ability to attract AI talent from overseas.
- In his talk, Schmidt also touched on the benefits that artificial intelligence could offer the US military, giving the example of vision systems.
- Instead, research institutions like AI Now say companies need to employ more non-technical people in the development of artificial intelligence.
Alphabet chairman Eric Schmidt says the US is at risk of falling behind in the race to develop cutting-edge artificial intelligence.
Continue reading “Eric Schmidt says America needs to ‘get its act together’ in AI competition with China”
- Deploying Deep Learning at Scale for better data science and making inferences from data
- Error rates for trained humans is 5% and now deep learning is at 3% for image and speech tasks.
- Naveen explores the benefits of deep learning over other machine-learning techniques, recent advances in the field, the deep learning workflow, challenges in developing and deploying deep learning-based solutions, and the need for standardized tools for building and scaling deep learning solutions.
- Stacked auto-encoders, Multi-layer perceptron and Deep belief networks are more fringe models.
- In August, 2016, Intel is bolstering its artificial intelligence efforts by acquiring Nervana Systems for $400 million, a two-year-old startup considered among the leaders in developing machine learning technology.
Continue reading “Next Big Future: Deploying Deep Learning at Scale for better data science and making inferences from data”
- Uber’s first self-driving cars will start picking up passengers this month
- Ford and Baidu put $150M behind LiDAR for self-driving cars
- Ford also noted their previously-annouced investment in Civil Maps to augment their 3D mapping capability.
- Ford acquires SAIPS for self-driving machine learning and computer vision tech
- Ford outlined a few of the ways it’s aiming to ship driverless cars by 2021 , and part of the plan involves acquisitions.
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@EladRatson: “∙@Ford acquires #Israel🇮🇱 #MachineLearning startup SAIPS for its driver-less car🚘 R&D team
Ford outlined a few of the ways it’s aiming to ship driverless cars by 2021, and part of the plan involves acquisitions. CEO Mark Fields revealed at a press..
Ford acquires SAIPS for self-driving machine learning and computer vision tech