For its first phones of 2024, Samsung focused so much on its "Galaxy AI" features that, physically, the Galaxy S24 series doesn't appear to be much different than the S23. Once again, the company's phones aren't different enough to justify upgrading from their predecessors, especially knowing that the S23 series, Z Fold 5, Z Flip 5 and Tab S9 will be getting at least some of these AI features later this year. There's also competition from the Google Pixel 8 series, which offer many of the same new features from a more established AI company. Still, that doesn't mean we should dismiss the Galaxy S24 series altogether. Samsung's AI efforts may be an indicator of smartphone features to come.

The German Parliament in Berlin is said to have approved a new law on autonomous driving in the country. According to a media report, the new regulation, which is currently awaiting the President's signature, will allow companies to start making money from autonomous driving services. The new regulation is aimed to spur future development in technology as well. Autonomous vehicles will require humans to oversee the operations. A trained technician will monitor the autonomous vehicle from a remotely located command centre, eliminating the need to have a person at the driver's seat.

Machine learning and Artificial intelligence have taken over data centers by storm. As racks begin to fill with ASICs, FPGAs, GPUs, and supercomputers, the face of the hyper-scale server farm seems to change. These technologies are known to provide exceptional computing power to train machine learning systems. Machine learning is a process that involves tremendous amounts of data-crunching, which is a herculean task in itself. The ultimate goal of this tiring process is to create applications that are smart and also to improve services that are already in everyday use. Artificial intelligence is already in use, one can easily see the use in Facebook's news-feed.

Do you use artificial intelligence (AI)? It might sound like a high-brow discussion for coders and data scientists, but AI is everywhere. If you use an Amazon Echo, you use AI. If you use Facebook or Netflix, AI is used on you. AI is a catch-all term for several different technologies – including machine learning, neural networks, voice recognition and natural language processing – but they all have one thing in common (or should do); they allow machines to learn how to respond to your needs.

Real-world artificial-intelligence applications are popping up in unexpected places--and much sooner than you might think. While winning a game of Go might be impressive, machine intelligence is also evolving to the point where it can be used by more people to do more things. That's how four engineers with almost zero knowledge of Japanese were able to create software, in just a few months, that can decipher handwriting in the language. The programmers at Reactive Inc. came up with an application that recognizes scrawled-out Japanese with 98.66 percent accuracy. The 18-month-old startup in Tokyo is part of a growing global community of coders and investors who are harnessing the power of neural networks to put AI to far more practical purposes than answering trivia or winning board games.

Real-world artificial-intelligence applications are popping up in unexpected places--and much sooner than you might think. While winning a game of Go might be impressive, machine intelligence is also evolving to the point where it can be used by more people to do more things. That's how four engineers with almost zero knowledge of Japanese were able to create software, in just a few months, that can decipher handwriting in the language. The programmers at Reactive Inc. came up with an application that recognizes scrawled-out Japanese with 98.66 percent accuracy. The 18-month-old startup in Tokyo is part of a growing global community of coders and investors who are harnessing the power of neural networks to put AI to far more practical purposes than answering trivia or winning board games.

Real-world artificial-intelligence applications are popping up in unexpected places--and much sooner than you might think. While winning a game of Go might be impressive, machine intelligence is also evolving to the point where it can be used by more people to do more things. That's how four engineers with almost zero knowledge of Japanese were able to create software, in just a few months, that can decipher handwriting in the language. The programmers at Reactive Inc. came up with an application that recognizes scrawled-out Japanese with 98.66 percent accuracy. The 18-month-old startup in Tokyo is part of a growing global community of coders and investors who are harnessing the power of neural networks to put AI to far more practical purposes than answering trivia or winning board games.