If you consider Google is the leader globally in artificial intelligence, DeepMind is their crown jewel.
When they moved the DeepMind Health unit, the healthcare subsidiary, into their main company — that broke a pledge that ‘data will not be connected to Google accounts’ — you knew Google was cutting corners.
Google’s AI Supremacy is an Existential Threat
Bigger than the Department of Justice going after Google for antitrust is the harm DeepMind could do to the future of artificial intelligence. They are arguably the leader in deep learning. The choices they make will decide many things about the fate of humanity in an AI-centric world.
The next real interface after smart phones is the neural interface and a Google powered neural interface (beyond ear buds and Voice AI) will power the next era of augmented humans. Read More
Monthly Archives: June 2019
Top 45 Artificial Intelligence Companies
Artificial intelligence has exploded in the past few years, with dozens of AI startups and major AI initiatives by big name firms alike. The New York Times estimates there are 45 AI firms working on chips alone, not to mention the dozens of AI software companies working on machine learning, deep learning and AI projects.
AI is driving significant investment from venture capitalist firms, giant firms like Microsoft and Google, academic research, and job openings across a multitude of sectors. All of this is documented in the AI Index, produced by Stanford University’s Human-Centered AI Institute. Read More
What is DataOps and Why It’s Critical to the Data Monetization Value Chain
In my previous blog “How DevOps Drives Analytics Operationalization and Monetization”, I discussed the critical and complementary role of DevOps to operationalize and monetize the analytics that came out of the Data Science development process. While the combination of Design Thinking and Data Science accelerate the creation of more effective, more predictive analytic modules (where analytic modules are packaged, reusable and extensible analytic modules), it’s the combination of Data Science and DevOps that drives analytic model operationalization and monetization. Read More
Tech companies are enabling a “machine of deportation” say leading immigrant rights advocates
In the past year, many major tech companies such as Amazon, Palantir, Salesforce, and Microsoft have come under scrutiny for selling software to US federal immigration agencies. That’s because those agencies have been responsible for enforcing some of the controversial immigration policies that separate families at the border, detain children, and deport people seeking refuge back to dangerous places.
Jonathan Ryan, CEO of immigrant legal aid and services organization RAICES, and Erika Andiola, the organization’s chief advocacy officer, are making the case that tech companies need to realize the moral consequences of the industry’s complicity — and their ability to stop what many view is blatantly unethical treatment of refugees. Read More
Rock Paper Scissors robot wins 100% of the time
The newest version of a robot from Japanese researchers can not only challenge the best human players in a game of Rock Paper Scissors, but it can beat them — 100% of the time. In reality, the robot uses a sophisticated form a cheating which both breaks the game itself (the robot didn’t “win” by the actual rules of the game) and shows the amazing potential of the human-machine interfaces of tomorrow. Read More
Researchers discover “Fishwrap” influence campaign recycling old terror news
Researchers at Recorded Future have uncovered what appears to be a new, growing social media-based influence operation involving more than 215 social media accounts. While relatively small in comparison to influence and disinformation operations run by the Russia-affiliated Internet Research Agency (IRA), the campaign is notable because of its systematic method of recycling images and reports from past terrorist attacks and other events and presenting them as breaking news—an approach that prompted researchers to call the campaign “Fishwrap.”
The campaign was identified by researchers applying Recorded Future’s “Snowball” algorithm, a machine-learning-based analytics system that groups social media accounts as related. Read More
AI Software Reveals the Inner Workings of Short-Term Memory
Research by neuroscientists at the University of Chicago shows how short-term, working memory uses networks of neurons differently depending on the complexity of the task at hand.
The researchers used modern artificial intelligence (AI) techniques to train computational neural networks to solve a range of complex behavioral tasks that required storing information in short term memory. The AI networks were based on the biological structure of the brain and revealed two distinct processes involved in short-term memory. One, a “silent” process where the brain stores short-term memories without ongoing neural activity, and a second, more active process where circuits of neurons fire continuously. Read More
Locale-agnostic Universal Domain Classification Model in Spoken Language Understanding
In this paper, we introduce an approach for leveraging available data across multiple locales sharing the same language to 1) improve domain classification model accuracy in Spoken Language Understanding and user experience even if new locales do not have sufficient data and 2) reduce the cost of scaling the domain classifier to a large number of locales. We propose a locale-agnostic universal domain classification model based on selective multi-task learning that learns a joint representation of an utterance over locales with different sets of domains and allows locales to share knowledge selectively depending on the domains. The experimental results demonstrate the effectiveness of our approach on domain classification task in the scenario of multiple locales with imbalanced data and disparate domain sets. The proposed approach outperforms other baselines models especially when classifying locale-specific domains and also low-resourced domains. Read More
The 3 critical AI research questions
AI is dramatically enhancing industries, products, and core capabilities. But to make AI truly ubiquitous, it needs to run on end devices within a tight power and thermal budget. To learn more about the research that is advancing AI adoption, don’t miss this VB Live event featuring Qualcomm’s Senior Director of Engineering, Jilei Hou, and analystJack Gold.
“We’re not anywhere near a steady state with AI,” says Jack Gold, tech analyst and founder and president of J. Gold Associates. “AI is starting to take off, but we’re nowhere near the top of the hockey stick.” Read More
5 Key Learnings To Set-up A High Impact AI Strategy
How to get started and develop an AI Strategy in your organization that actually works.
In our 1 hour webinar with Master Inventor and Fortune Global 500 advisor Neil Sahota who has helped more than 1000 organizations to build AI solutionsand AI Expert Rudradeb Mitra, we talked how to get started with AI, what characterizes a high-performing team and how to build ethical and trustworthy A.I. Solutions. How to get started and develop an AI Strategy in your organization that actually works. Read More
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