The speech-to-text technology has made our lives easy. Now that there are a lot of use cases in our daily life for this technology too, we need it even more. It lets us save time and effort, and provides the required information in a matter of minutes. Tech giants like Google and Amazon are exploring and empowering this field of speech recognition technologies with the help of their Google Speech and Amazon Transcribe products. Amazon launched Alexa in 2014 and more than 100m of its Echo and Dot gadgets are available in homes around the world today. Alexa is considered to be the most Intelligent Of All DPAs.

It's time for big business to embrace the public chain – as a coordination tool, rather than as a place to carry out large-scale financial transactions. The group has come up with a new way of using the public ethereum mainnet to connect firms' internal systems for resource planning. Generative adversarial networks (GANs) -- two-part AI models consisting of a generator that creates samples and a discriminator that attempts to differentiate between the generated samples and real-world samples -- have been applied to tasks ranging from video, artwork, and music synthesis to drug discovery and misleading media detection. They've also made their way into ecommerce, as Amazon revealed in a blog post this morning. Frontline healthcare employees -- nurses, call center agents, among others -- have one of the toughest jobs in America.

At the offices of startup Vicarious in Union City, where the San Francisco Bay Area's sprawl abuts rolling hills, 10 robot arms tirelessly place travel-sized beauty products into bins on a conveyor belt. Each gray arm ends in a suction-cup-tipped finger that makes a high-pitched whine as it plucks items such as antiperspirant or hand lotion from crowded boxes. Google Cloud today announced the beta launch of Cloud AI Platform Pipelines, a new enterprise-grade service that is meant to give developers a single tool to deploy their machine learning pipelines, together with tools for monitoring and auditing them. "When you're just prototyping a machine learning (ML) model in a notebook, it can seem fairly straightforward," Google notes in today's announcement. "But when you need to start paying attention to the other pieces required to make an ML workflow sustainable and scalable, things become more complex."

Oracle recently announced the availability of Cloud Data Science PlatformAccording to Oracle, the key differentiating factor for its data science platform is team collaboration features and tight integration with a variety of data sources available in OCI. According to Oracle, the key differentiating factor for its data science platform is team collaboration features and tight integration with a variety of data sources available in OCI. Being a cybersecurity analyst at a large company today is a bit like looking for a needle in a haystack -- if that haystack were hurtling toward you at fiber optic speed. Every day, employees and customers generate loads of data that establish a normal set of behaviors. An attacker will also generate data while using any number of techniques to infiltrate the system; the goal is to find that "needle" and stop it before it does any damage.

Just think about the amount of text and voice data that we send or receive each day. Why not make this data meaningful with this huge amount of data and doing something cool? Now we have programs which can use our language to perform additional cool functions. Such systems are based on the combination of artificial intelligence and computational linguistics and are combined under the term NLP -- Natural Language Processing. A Tractica report on the demand for natural language processing (NLP) predicts that the total market size for NLP software, hardware, and services will be at least $22.3 billion by 2025.

Apple's efforts towards AI have always been focused on Siri and its advancements. But lately, people have noticed that Apple is rather quiet about any future products or services as there was no mention from Apple about AI or Machine Learning at WWDC 2019. Is the company focusing on AI as much as it was previously? And are we going to see any more AI technology launched in the coming years? These are the questions many analysts and Apple lovers are pondering on these days.

We have seen many applications of AI in industry sectors but in regards to the entertainment niche, Artificial Intelligence continues to diversify day by day operations. Video Games are an essential part of almost every person out there, after a tiring day of work, we all relax with a video game whether it is on our handheld device or dedicated gaming rig. The goal of Artificial Intelligence in video games is not limited to competitive gameplay but rather it intends to create the most enjoyable AI for players to compete with. The inclusion of AI in games dates back to the early 90s when Wolfstein 3D came out but the AI non-player character (NPC) was at the beginning level at that time. It implemented simple concepts such as to evade the player's attacks and attack when the appropriate time came, all in an enclosed finite state machine.

The German government is facing a bill of around $887,000 (800,000 euros) for failing to upgrade to Windows 10 ahead of the Windows 7 end of support date last week. German newspaper Handelsblatt reports that the German Federal Ministry is looking to secure at least 33,000 machines still running Windows 7, which involves paying Microsoft a fee per device for a year of extended security protection. Lego is releasing an official International Space Station kit, which includes a scale model of the orbital platform, along with a miniature dockable Space Shuttle, a deployable satellite and two astronaut mini figurines. The kit is made up of 864 pieces, and celebrates the science station's more than 20 years in operation. It was originally suggested through Lego's Ideas platform, which crowdsources ideas from the Lego fan community.

Since the beginning of computing, AI has always been the end target, and with modern cognitive computing models, we seem to be getting closer and closer to that goal every day. Due to the amalgamation of cognitive science and based on the fundamental principle of simulating the cycle of human thought, cognitive AI applications are expected to have far-reaching impacts not only on our private lives but also on industries such as medicine, banking and more. The benefits of cognitive technology are well and truly a step further than conventional AI systems. While the basic use case of artificial intelligence is to apply the best algorithm for solving a problem, cognitive computing tries to mimic human intelligence and logical abilities by evaluating a set of variables. The cognitive computing process uses a mixture of artificial intelligence, machine learning, neural networks, sentiment analysis, natural language processing, and contextual awareness to solve everyday problems just as human beings do.

Sony is the latest company to dip its toes into AI-powered music. The company revealed this week that its researchers have created a machine learning model that can create kick-drum tracking. MIT computer scientists are hoping to accelerate the use of artificial intelligence to improve medical decision-making, by automating a key step that's usually done by hand -- and that's becoming more laborious as certain datasets grow ever-larger. What's the point of teaching a computer how to knit? MIT researchers found it goes beyond just some nice gloves and scarves, to a window into deep learning forms of artificial intelligence.