It may be that time of the year when new year resolutions start to fizzle, but Google seems to be just getting started.The tech giant has been building tools and services to bring in the benefits of artificial intelligence (AI) to its users. The company has begun upping its arsenal of AI-powered products with a string of new releases this month alone.

Here is a list of the top products launched by Google in January 2020.

Although first introduced in 2014, the latest iterations of sequence-to-sequence (seq2seq) AI models have strengthened the capability of key text-generating tasks including sentence formation and grammar correction. Googles LaserTagger, which the company has open-sourced, speeds up the text generation process and reduces the chances of errors

Compared to traditional seq2seq methods, LaserTagger computes predictions up to 100 times faster, making it suitable for real-time applications. Furthermore, it can be plugged into an existing technology stack without adding any noticeable latency on the user side because of its high inference speed. These advantages become even more pronounced when applied at a large scale.

The company has expanded its Coral lineup by unveiling two new Coral AI products Coral Dev Board Mini and Coral Accelerator Module. Announced ahead of the Consumer Electronics Show (CES) this year, the latest addition to the Coral family followed a successful beta run of the platform in October 2019.

The Coral Accelerator Module is a multi-chip package that encapsulates the companys custom-designed Edge Tensor Processing Unit (TPU). The chip inside the Coral Dev Board is designed to execute multiple computer vision models at 30 frames per second or a single model at over 100fps. Users of this technology have said that it is easy to integrate into custom PCB designs.

Coral Accelerator Module, a new multi-chip module with Google Edge TPU.

Google has also released the Coral Dev Board Mini which provides a smaller form-factor, lower-power, and a cost-effective alternative to the Coral Dev Board.

Caption: The Coral Dev Board Mini is a cheaper, smaller and lower power version of the Coral Dev Board

Officially announced in March 2019, the Coral products were intended to help developers work more efficiently by reducing their reliance on connections to cloud-based systems by creating AI that works locally.

Chatbots are one of the hottest trends in AI owing to its tremendous growth in applications. Google has added to the mix with its human-like multi-turn open-domain version. Meena has been trained in an end-to-end fashion on data mined from social media conversations held in the public domain with a totalling 300GB+ text data. Furthermore, it is massive in size with 2.6B parameter neural network and has been trained to minimize perplexity of the next token.

Furthermore, Googles human evaluation metric called Sensibleness and Specificity Average (SSA) also captures the key elements of a human-like multi-turn conversation, making this chatbot even more versatile. In a blog post, Google had claimed that Meena can conduct conversations that are more sensible and specific than existing state-of-the-art chatbots.

Plugged as an important development of Googles Transformer the novel neural network architecture for language understanding Reformer is intended to handle context windows of up to 1 million words, all on a single AI accelerator using only 16GB of memory.

Google had first mooted the idea of a new transformer model in a research paper in collaboration with UC Berkeley in 2019. The core idea behind this model was self-attention, and the ability to attend to different positions of an input sequence to compute a representation of that sequence elaborated in one of our articles.

Today, Reformer can process whole books concurrently and that too on a single gadget, thereby exhibiting great potential.

Google has time and again reiterated its commitment to the development of AI. Seeing it as more profound than fire or electricity, it firmly believes that this technology can eliminate many of the constraints we face today.

The company has also delved into research anchored around AI that is spread across a host of sectors, whether it be detecting breast cancer or protecting whales or other endangered species.

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Top Machine Learning Projects Launched By Google In 2020 (Till Date) - Analytics India Magazine

Speechmatics and Soho2 have today announced their partnership to deliver consulting services to their customers, and a new product offering Speech2.

Soho2 has significant depth in delivering machine-learning driven solutions to market. The new product from Soho2 will give companies in legal, compliance and contact centers the invaluable ability to analyze voice data garnered from calls. Speech2 enables companies to bring new levels of flexibility to data analysis for high-volume, real time or recorded voice data through mission-critical, accurate speech recognition.

Using AI and machine learning, the solution will deliver an unparalleled ability to derive insight from voice data and also manage risk. The product can be deployed in any customer-managed environment to enable control over personal or sensitive data to be retained.

As part of the new product offering, Speechmatics - a UK leader in any context speech recognition technology - will transcribe voice data into accurate, contextual understanding for analysis. Speech2 will allow businesses to identify and address risks, as well as pinpoint missing sales opportunities. The product can also identify cases of fraud, while the legal industry can identify risks with the data, and even aid with event reconstruction.

George Tziahanas, Managing Partner of Soho2, said: Our experience demonstrates the potential for great innovation in machine learning, delivering huge commercial value to enterprises across industries. We teamed up with Speechmatics to ensure our latest services and product deliver the best speech recognition technology on the market. The partnership enables us to innovate with voice securely which is crucial to our customers and industries.

Jeff Palmer, VP of Sales at Speechmatics, added: Speech2 will deliver unparalleled insights and risk management abilities, using Speechmatics any-context speech recognition engine. Soho2 also brings depth in services that deliver high-value machine learning solutions, which will benefit their customer-base. Were excited to be working with Soho2 and seeing how their customers derive value from their voice data and view it with a renewed sense of curiosity.

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Speechmatics and Soho2 apply machine learning to analyse voice data - Finextra

NEW YORK, Feb. 3, 2020 /PRNewswire/ --

Report Includes:- A general framework for deep Reinforcement Learning (RL) also known as a semi-supervised learning model in machine learning paradigm

Read the full report: https://www.reportlinker.com/p05843529/?utm_source=PRN

- Assessing the breadth and depth of RL applications in real-world domains, including increased data efficiency and stability as well as multi-tasking- Understanding of the RL algorithm from different aspects; and persuade the decision makers and researchers to put more efforts on RL research

Reasons for Doing This Report:These days, machine learning (ML), which is a subset of computer science, is one of the most rapidly growing fields in the technology world.It is considered to be a core field for implementing artificial intelligence (AI) and data science.

The adoption of data-intensive machine learning methods like reinforcement learning is playing a major role in decision-making across various industries such as healthcare, education, manufacturing, policing, financial modelling and marketing.The growing demand for more complex machine working is driving the demand of learning-based methods in the ML field.

Reinforcement learning also presents a unique opportunity to address the dynamic behavior of systems.This study was conducted in order to understand the current state of reinforcement learning and track its adoption along various verticals, and it seeks to put forth ways to fully exploit the benefits of this technology.This study will serve as a guide and benchmark for technology vendors, manufacturers of the hardware that supports AI, as well as the end users who will finally use this technology.

Decisionmakers will find the information useful in developing business strategies and in identifying areas for research and development.

Read the full report: https://www.reportlinker.com/p05843529/?utm_source=PRN

About Reportlinker ReportLinker is an award-winning market research solution. Reportlinker finds and organizes the latest industry data so you get all the market research you need - instantly, in one place.

__________________________ Contact Clare: clare@reportlinker.com US: (339)-368-6001 Intl: +1 339-368-6001

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Reinforcement Learning: An Introduction to the Technology - Yahoo Finance

AI and machine learning are the kind of buzzwords that generate a lot of interest; hence, they get thrown around all the time. But what do they actually mean? And are they as instrumental to the future of cybersecurity as many believe?

When a large set of data is involved, having to analyze it all by hand seems like a nightmare. Its the kind of work that one would describe as boring and tedious. Not to mention the fact it would take a lot of staring at the screen to find what youve set out to discover.

The great thing about machines and technology is that unlike humans it never gets tired. Its also better geared for being able to notice patterns. Machine learning is what you get when you reach the point of teaching your tools on how to spot patterns. The AI helps you interpret it all better and make the solution self-sufficient.

Cybersecurity solutions (antivirus scanners in particular) are all about spotting a pattern and planning the right response. These scanners rely on heuristic modeling. It gives them the ability to recognize a piece of code as malicious, even though it might be the case that no one has flagged it as such before. In essence, it has plenty to do with teaching the software to recognize and alert you when something is out of the ordinary.

As soon as something oversteps the threshold of tolerance, it triggers an alarm. From there on out, the rest is up to the user. For instance, the user may instruct the antivirus software to move the infected file to quarantine. It can do so with or without human intervention.

Applying AI to cybersecurity solutions is taking things up a notch. Without it, the option of having the software learn on its own by observing would not be possible.

Imagine having an entity working in the background that knows you so well that it can predict your every move. It might be slight nuances. For example, the way you move your mouse or the parts of the web youre browsing on a frequent basis. Even the order of the applications you launch upon logging in.

Without having to introduce yourself, the AI would get to know you and your habits pretty well. Thus, it would form a digital fingerprint of you. It sounds scary, but it could come in handy. For instance, it could raise the alarm if an unauthorized individual ever gets access to your PC.

Of course, observing your behavior is not the end of what employment of AI and machine learning can do. Why not do the same thing for computer processes?

Imagine having to monitor what programs are running in the background yourself. Tracking how much resources they consume all day, every day, by hand. It doesnt sound enjoyable now, does it? But its the work AI excels at.

Without lifting a finger, youd have a powerful watchdog that would start barking as soon as something is out of the ordinary. For instance, it could alert you about malicious operating system behaviors. You would know right away about crypto mining malware or other types of threats affecting your computer.

The smart malware designers make it so that your systems CPU usage gets off the charts only when youre not using the PC. Theres no way to spot such a thing while youre away from the keyboard. Unless you have AI-powered cybersecurity solutions to track it all for you 24/7.

Webmasters keep trying to fend off bot traffic and automated scripts. These are used for automatic data scraping and similar activities. For instance, someone could write a script to harvest every bit of contact details on the website. They can then send unsolicited offers to all those contacts. Even when they dont scrape contacts, no one wants bot traffic because it consumes valuable server resources and slows everything down for legitimate browsers. Thus, it harms the user experience.

The simple solution is to block a range of IP addresses. But by using a VPN (you can read more about it here) server or a proxy, a script can get around the obstacle. Now lets introduce some AI into the equation. By observing every browsers activity, it would be able to recognize repetitive behavior. It would associate it with an IP address thats currently browsing, then flag it. Sure, a script may discard an IP address and try with a new one. But the fingerprint left by its activities would remain since its rather much pattern-based. In the end, the new IP could be flagged much faster by automated observation.

Since they came to be, AI and machine learning have changed the world of cybersecurity forever. As time goes on, they will keep getting more and more refined. Its a matter of question when it will reach the point of becoming your cybersecurity watchdog, tailored to your needs.

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The Role of AI and Machine Learning in Cybersecurity - Analytics Insight

Dallas-Fort Worth has more than 40 higher learning institutions, each with programs that incorporate on-the-job training and monitor the pulse of our rapidly changing technological landscape.

While North Texas houses tons of major corporations, another factor that makes it so formidable is the hub of learning establishments that have long called the area home. Fortunately, with so many local universities, North Texas has fostered a collection of pioneer programs in high-level facilities that monitor the pulse of our rapidly changing technological landscape.

These programs create an employment pipeline that funnels the best and brightest to top companies across the stateand beyond. Heres a few of them.

At the University of Texas at Dallas, the Center for Applied AI and Machine Learning, within the Department of Computer Science, focuses on applying artificial intelligence and machine learning to create viable industry solutions and educate the next generation of scientists. Upon graduation, students often go into finance, logistics, healthcare, or software security and companies where they end up might include Amazon, Facebook, Google, Microsoft, AT&T, JPMorgan Chase, Samsung, Dell, and many others, says Sriraam Natarajan, associate professor and director of the Center for Machine Learning.

While the Center for Applied AI and Machine Learning functions as a service arm that provides opportunities for students, the Center for Machine Learning functions as a research arm, facilitating faculty members development of algorithms while supporting educational activity and community outreach.

We have a great faculty, and on top of that, were expanding the program, Natarajan says. Were looking at the most recent trends in machine learning, and aligning our courses so that they match what the industry needs.

The Department of Information Science at UNT, [emailprotected], and the Department of Computer Science & Engineering at UTA also offer courses, specializations, and concentrations in machine learning and artificial intelligence that help train students for cutting-edge jobs including software engineering, data engineering, application development, and programming.

Software engineering is one field that opens doors in nearly every industry across the globe.

Every company is a tech company, says Duane Dankesreiter, Senior Vice President of Research and Innovation for the Dallas Regional Chamber. You may be a big bank, but you need data analytics and software engineering to succeed.

At the University of Texas at Arlington, software engineering students collaborate with local companies to hone their skills for the future while, at the University of North Texas, students test their mettle by solving practical problems. The Erik Jonsson School of Engineering and Computer Science at the University of Texas at Dallas is ranked eighth in the country for software engineering research, and boasts cutting-edge forays into semiconductor design, wireless networking, organic electronics, and medical imaging. The schools internship and cooperative education program places 12,000 students at local tech companies annually.

With the modern world inextricably linked to technology, information security will only become more important as the future races forward and these concerns are top-of-mind for everyone from corporate leaders to everyday individuals. The Cyber Security Research and Education Institute at the University of Texas at Dallas is poised to address these concerns by conducting advanced cybersecurity research and providing inclusive education and training to enable the next generation of cyber security professionals to respond to the cyber threats of tomorrow. Additionally, faculty at Texas A&M University-Commerce is working to solve issues and concerns that revolve around resilience, risk awareness, and cyber-physical security.

Art and tech overlap more with each passing day. SMUs Simmons School of Education and Human Development utilizes augmented reality and virtual reality in its teaching projects. The University of Texas at Dallas houses one of the few motion capture and virtual reality laboratories in the country, and its applications range from gaming to military training scenarios to education and medical research. At UTDs ATEC School, students incorporate AR and VR into their capstone projects, like the fashion photographer who created an interactive magazine. The photos were digitally coated, and readers could use their phones to access video footage of the fashion models discussing their #metoo moments.

Augmented reality is emerging as a new and popular media form, Balsamo says. It involves new technologies, so our faculty and students are investigating how we can use AR in interesting ways that help us as human beings.

A pressing need for medical advancements in various disciplines is an expected side effect of a climbing population and across-the-board increased life expectancy. The University of Texas Southwestern Medical Center conducts research across a variety of fields, including cancer, heart disease, and neuroscience. With an award-winning staff, more than 200 laboratories, and annual funding of around $470 million, the Center trains around 3600 health professionals every year.

In the Biology Department at Texas Womens University, researchers conduct pioneering investigations into pain management, and at the University of North Texass Bio Discovery Institute, researchers work with bio-based materials to discover their potential applications in construction, transportation, and healthcare. The UNT Health Science Center contains six schools that tackle forward-looking disciplines, like forensic genetics and Alzheimers research. Notable is UNTHSCs School of Medicine, a joint collaboration with Texas Christian University that aims to create empathetic, globally conscious medical leaders.

A version of this story was originally published in Dallas Innovates: The [Tech] Talent Issue.

Dallas Innovates: The [Tech] Talent Issue, a special edition of the Dallas Innovates Magazine, looks at how companies in Dallas-Fort Worth are attracting and retaining the best talent. Startups, corporates, nonprofits, and organizations work hard to create a strong culture, promote diversity, and implement training programs that can help achieve success.

Sign up to keep your eye on whats new and next in Dallas-Fort Worth, every day.

Musings on innovation from the region's paradigm-shifting companies and organizations.

A new generation of innovators is taking its place in Dallas-Fort Worth lore, creating the next wave of great companies, services, and ideas.

No matter which of our six buckets you look atstartup, enterprise, invention, education, innovation, or creativeyou're sure to find leaders capable of disrupting industries, benefiting society, or changing the world.

Dallas Innovates, Every Day: Here's your briefing on ideas and innovation in North Texas.

From Toyota's city of the future to Ericsson's connected cars, AT&T's 5G phone lineup to Polte's tracking devices, the region was well-represented at this year's annual Consumer Electronics Show.

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Jobs of the Future: The Hottest Areas of Tech Education Dallas Innovates - dallasinnovates.com

Learning Automated Trading Can Give You a Major Investing Advantage

Technology has changed everything, including the way people invest. There is always risk inherent in investing but fin-tech like quantitative and algorithmic trading can make life a little easier on investors who have the technical expertise to get a competitive advantage. Whether you're a regular investor or interested in starting out, you owe it to yourself to learn some of the fin-tech that's changing the industry, and QuantInsti: Quantitative Trading for Beginners Bundle can help.

In this seven-course bundle, you'll get a comprehensive fin-tech education. You'll start with an introduction to algorithmic trading, that is, programming a computer to take certain trading actions in response to market data. From there, you'll learn how to use machine learning tools like Python to automate your trading to limit your losses and maximize your gains. You'll even get access to an Interactive brokers platform to practice automating your trading and learn momentum trading skills for forex markets. By the end of the training, you'll be fully ready to trade on your own or ace a quant Interview to work for someone else.

Start investing like a modern genius. Sold separately, the courses of QuantInsti: Quantitative Trading for Beginners Bundle would go for over $500, but you can get them all for just $49 today.

Related:Learning Automated Trading Can Give You a Major Investing Advantage3 Bad Investing Habits You Should Drop Before It's Too LateMake Smarter Investment Decisions with These Courses

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Learning Automated Trading Can Give You a Major Investing Advantage - The Advocate