In this post, we shall cover a few of the top, open-source artificial intelligence (AI) tools for the Linux ecosystem. Currently, AI is one of the ever advancing fields in science and technology, with a major focus geared towards building software and hardware to solve every day life challenges in areas such as health care, education, security, manufacturing, banking and so much more. Below is a list of a number of platforms designed and developed for supporting AI, that you can utilize on Linux and possibly many other operating systems. Remember this list is not arranged in any specific order of interest. Deeplearning4j is a commercial grade, open-source, plug and play, distributed deep-learning library for Java and Scala programming languages.

Artificial intelligence (A.I.) and machine learning are burning topics within the tech community, and while we are likely decades away from Artificial General Intelligence, deep learning technologies are charting new territories in medicine, education, and ways in which consumers can interact with brands. Within the past quarter alone, tech giants like Alphabet, Salesforce, Nvidia, Amazon, and IBM have made major investments into A.I. technology by acquiring smaller machine learning companies, hiring dedicated A.I. research teams in house, or successfully partnering with startups tackling the space. Their investments validate that deep learning is no longer a new fad, but a technology that businesses must either include in their products and services or risk being outpaced by competitors that do. While advancements in machine learning and A.I. are exciting and pose many benefits to people and businesses, its increased functionality in our daily lives raises some regulatory and socioeconomic concerns. Facebook was excoriated recently after turning over its Trending section to algorithms, which proceeded to promote false and inappropriate news stories without the human former curators.

Paul McCartney and Ringo Starr are the only two surviving members of The Beatles, but if they ever want to take the show back on the road, this AI would probably be a welcome addition. Sony CSL Research Labratory is releasing an album next year of songs written entirely by artificial intelligence. Of them, this derivative work could be the title track. The music for'Daddy's Car,'was written entirely by AI and put together by French composer Benoît Carré. Carré also wrote the lyrics and arranged the harmonies.

Developing new drugs to help cure diseases is a challenge some of the world's sharpest minds are focused on. It's also something that's enormously expensive and time-consuming -- with new drugs sometimes taking years, and costing hundreds of millions of dollars, to bring to market. That's where a United Kingdom-based company called BenevolentAI wants to help -- and it's using the world's most advanced deep learning supercomputer to do so. The first company in Europe to use Nvidia's state-of-the-art DGX-1 computer, the idea is to utilize cutting-edge chemical modeling algorithms to come up with ways to treat serious diseases faster than was previously thought possible. "We're taking giant corpuses of data, hundreds of millions of documents and structured data sources, and using it to discover relationships between chemicals, diseases and information about the body," Derek Wise, vice president of engineering at BenevolentAI, told Digital Trends.

LinkedIn wants to become more useful to workers by adding personalized news feeds, helpful messaging "bots" and recommendations for online training courses, as the professional networking service strives to be more than just a tool for job-hunting. The new services will arrive just as LinkedIn itself gains a new boss -- Microsoft -- which is paying 26 billion to acquire the Silicon Valley company later this year. LinkedIn said the new features, which it showed off to reporters Thursday, were in the works before the Microsoft takeover was announced in June. But LinkedIn CEO Jeff Weiner said his company hopes to incorporate some of Microsoft's technology as it builds more things like conversational "chat bots," or software that can carry on limited conversations, answer questions and perform tasks like making reservations. Chat bots are a hot new feature in the consumer tech world, where companies like Facebook, Apple and Google are already racing to offer useful services based on artificial intelligence. As a first step, LinkedIn says it will soon introduce a bot that could help someone schedule a meeting with another LinkedIn user, by comparing calendars and suggesting a convenient time and meeting place.

If you just consider how sports data was presented or what was available five years ago, the amount of data is simply exploding,

Developing a computer that can be as decisive and intelligent as humans is on IBM's mind, and it's making progress toward achieving that goal. IBM's computer chip called TrueNorth is designed to emulate the functions of a human brain. The company is now running tests and benchmarking TrueNorth to demonstrate how fast and power efficient the chips can be compared to today's computers. The results of the head-to-head contest are impressive. IBM says TrueNorth can engage in deep learning and make decisions based on associations and probabilities, much like human brains.

Apple released its new Mac operating system, Sierra, earlier this week, which is available to all Mac users as a free download through Apple's Mac App Store. The update notably adds Siri to the Mac and also many of the features from iOS 10, including enriched messages. That's a new name change from Apple, but loyal Mac users will find everything pretty familiar. Sierra is a big update, and there are lots of little things that you may not necessarily find on your own, hiding just below the surface. Here are a handful to help you get the most of the update.

Apple is on a machine learning company buying spree. After buying Perceptio at the end of 2015 and Turi just a few months ago, Apple has now acquired an India/US-based machine learning team, Tuplejump. We'd been hearing rumors of another acquisition in this space by Apple for some time. Apple buys smaller technology companies from time to time, and we generally do not discuss our purpose or plans. That's okay -- as with most machine learning companies, they're not exactly a household name (unless you've got a data scientist in your house, I guess.)

When it comes to diseases like cancer, much can be read into the language we use. For instance, there's a great deal of debate about whether military terminology like "battling" cancer are useful, or suggest that the disease is a fight that only the strongest can win. Likewise, Silicon Valley's tech companies in recent years have unveiled moonshot initiatives they claim will someday "cure" diseases like cancer. When announcing a 3 billion investment into life sciences research, Mark Zuckerberg described his goal to cure the disease within his daughter's lifetime. We've been using such terminology for decades, but is it helpful?