Research in Deep Learning started as early as the 1960s, though the term itself was coined in 1986. With accurate predictions becoming the need of the hour, the amount of computing available and the massive data being collected, Deep Learning became the preferred algorithms at least over the last 5 years or so. As the complexity of problems arose, Deep Learning became the answer for problems that involved heavy datasets. A few millions of rows of supervised learning could effectively be crunched by ensemble tree based algorithms itself. However, for problems like computer vision or speech-to- text, deep learning was the answer.

Research in Deep Learning started as early as the 1960s, though the term itself was coined in 1986. With accurate predictions becoming the need of the hour, the amount of computing available and the massive data being collected, Deep Learning became the preferred algorithms at least over the last 5 years or so. As the complexity of problems arose, Deep Learning became the answer for problems that involved heavy datasets. A few millions of rows of supervised learning could effectively be crunched by ensemble tree based algorithms itself. However, for problems like computer vision or speech-to- text, deep learning was the answer.

AP – Samsung's new smartphone illustrates the limits of innovation at a time when hardware advances have slowed. The new phone, the Galaxy Note 9, will be faster and will last longer without a recharge. But while earth-shattering new features are in short supply, it will carry an earth-shattering price tag: $1,000. The minor improvements reflect a smartphone industry that has largely pushed the limits on hardware. Major changes tend to come every few years rather than annually, and this isn't the year for anything revolutionary in the Note.

Thursday's announcement in New York comes about a month before Apple is expected to unveil new iPhones. There's been speculation -- unconfirmed by Apple -- that all new iPhones will ditch the home button and fingerprint sensor and rely entirely on facial-recognition technology found in the iPhone X. The Note 9 will still have a fingerprint sensor on the back of the phone. In a jab at Apple, Samsung executives also frequently emphasize that their phones have standard headphone jacks, which newer iPhones no longer do.

Significant advances in artificial intelligence over the past few years have broadened AI's reach into industries such as healthcare, finance and even retail. Businesses and consumers alike are benefiting from the rise of big data and the growth of AI techniques like deep learning and natural language processing. But we're still only scratching the surface of what is possible with AI, and the full impact of the technology may be years away. In the near-future, however, AI advances will give rise to increasingly powerful applications like personal assistants with more robust utility in the workplace and in our personal lives. These assistants could provide personalized information, help us make more informed decisions, and perhaps even provide physical assistance.

Significant advances in artificial intelligence over the past few years have broadened AI's reach into industries such as healthcare, finance and even retail. Businesses and consumers alike are benefiting from the rise of big data and the growth of AI techniques like deep learning and natural language processing. But we're still only scratching the surface of what is possible with AI, and the full impact of the technology may be years away. In the near-future, however, AI advances will give rise to increasingly powerful applications like personal assistants with more robust utility in the workplace and in our personal lives. These assistants could provide personalized information, help us make more informed decisions, and perhaps even provide physical assistance.

Significant advances in artificial intelligence over the past few years have broadened AI's reach into industries such as healthcare, finance and even retail. Businesses and consumers alike are benefiting from the rise of big data and the growth of AI techniques like deep learning and natural language processing. But we're still only scratching the surface of what is possible with AI, and the full impact of the technology may be years away. In the near-future, however, AI advances will give rise to increasingly powerful applications like personal assistants with more robust utility in the workplace and in our personal lives. These assistants could provide personalized information, help us make more informed decisions, and perhaps even provide physical assistance.