Natural Language Processing-Based Quantification of the Mental State of Psychiatric Patients

ML Psychiatry

Psychiatric practice routinely uses semistructured and/or unstructured free text to record the behavior and mental state of patients. Many of these data are unstructured, lack standardization, and are difficult to use for analysis. Thus, it is difficult to quantitatively analyze a patient’s illness trajectory over time and his or her responsiveness to treatment, and it is also difficult to compare different patients quantitatively. In this article, experts in the field of psychiatry, along with machine learning models, have …

Read More

SEER: Simulative Emotional Expression Robot

SEER Robot

“SEER” is a humanoid robotic head developed as an artistic work by Takayuki Todo. It explores the significance of gaze and facial expression in the sphere of human-machine research. Takayuki Todo is interested in how people establish an emotional relationship with humanoid robots. As the discipline of robotics has shown for years, a realistic similarity to the human form alone is not able to break down the distance between a human and a machine.

Read More

The origin of Robot Arm Programming Languages

Robot Arm

This short blog post is about the origin of languages for describing tasks in automation, in particular for industrial robot arms. Three people who have passed away, but were key players were Doug Ross, Victor Scheinman, and Richard (Lou) Paul, not as well known as some other tech stars, but very influential in their fields. Here, I must rely not on questions to them that I should have asked in the past, but from personal recollections and online sources.

Read More

Design by numbers, drawing with code

The data have taken the role of our hands in the digital world. How do we keep the language of our physicality, or rather how to bring back the use of our hands in the digital era?
We have already accepted that everything is united under the same code, that we live in a common environment, that we share the same language. The physicality becomes more and more immaterial.

Read More

Thought-detection: AI has infiltrated our last bastion of privacy

Thought detection

Our thoughts are private – or at least they were. New breakthroughs in neuroscience and artificial intelligence are changing that assumption, while at the same time inviting new questions around ethics, privacy, and the horizons of brain/ computer interaction. Research published last week from Queen Mary University in London describes an application of a deep neural network that can determine a person’s emotional state by analyzing wireless signals that are used like radar. In this research…

Read More

How effective is natural language processing in clinical trials?

Natural Language Processing

NLP is one of the fastest adopted business technologies in the world, only two years after Google first released its pre-trained Bidirectional Encoder Representations from Transformers (BERT). BERT provides a state-of-the-art output on 11 NLP tasks, and has a deeper sense of language context than any other language model developed before. In the last three years, NLP has made more progress than any other subfield of AI and estimates predict that the worldwide NLP market size will reach $43 billion by 2025, compared to $11 billion in 2019. 

Read More

Meet Angela Sheffield, the female veteran working in STEM to shape artificial intelligence for nuclear weapons detection

Angela Sheffield NISA

Artificial intelligence (AI) is a fascinating concept that has brought us movie villains, chess-playing supercomputers, and most recently, deepfake videos that can manipulate audio and video like never before. But what does something like AI this have to do with nuclear weapons and (NNSA)? 

Read More

CYE raises $120 million for security that uses hackers and AI

Cye five men standing

The soaring number of cyberattacks in recent years has propelled a massive expansion of potential solutions as startups and incumbent security providers jostle to address the market opportunity. But Tel Aviv-based CYE believes it has developed a way to cut through that clutter with a solution that uses artificial intelligence to probe for technical weaknesses and human hackers to test a company’s overall security resilience.

Read More

Edge Authentication and Token-Agnostic Identity Propagation

Microservice Technology

As most developers can attest, dealing with security protocols and identity tokens, as well as user and device authentication, can be challenging. Imagine having multiple protocols, multiple tokens, 200M+ users, and thousands of device types, and the problem can explode in scope. A few years ago, we decided to address this complexity by spinning up a new initiative, and eventually a new team, to move the complex handling of user and device authentication, and various security protocols and tokens, to the edge of the network, managed by a set of centralized services, and a single team. In the process, we changed end-to-end identity propagation within the network of services to use a cryptographically-verifiable token-agnostic identity object.

Read More

Kong raises $100 million for software that scales cloud infrastructure

As APIs and microservices become critical tools to drive innovation and automation for a wider range of companies, they are also creating new management challenges. Enterprises are attracted by their potential to create greater flexibility but must find ways to coordinate these cloud-based services. Kong, one of the new breed of companies trying to address this problem…

Read More

IBM quantum computing development roadmap envisions applications running 100 times faster

IBM believes it has an achievable timetable to advance its quantum hardware to reach the power and reliability that will allow for commercial applications within 5 years. The challenge then is enabling the tools and the environment to let companies and developers start experimenting with writing the applications that will allow them to harness this power.

Read More

Paper – Ethical Management of Artificial Intelligence

With artificial intelligence (AI) becoming increasingly capable of handling highly complex tasks, many AI-enabled products and services are granted a higher autonomy of decision-making, potentially exercising diverse influences on individuals and societies. While organizations and researchers have repeatedly shown the blessings of AI for humanity, serious AI-related abuses and incidents have raised pressing ethical concerns.

Read More

Fourth quarter and 2020 annual review of Artificial Intelligence and Automated Systems

In 2020, companies and regulators faced unprecedented challenges as they navigated the COVID-19 crisis and a rapidly evolving set of issues and policy proposals on the regulation of Artificial Intelligence and Automated Systems (“AI”). After a slow start, the second half of 2020 saw a noticeable surge in AI-related regulatory and policy proposals as well as growing international coordination. We may be seeing an inflection point in AI governance, and 2021 is poised to bring consequential legislative and policy changes.

Read More

How to get the most out of Machine Learning Models

To enhance the model accuracy and avoid the regular split of the data disadvantages, we need to add more generalization to the split process. In this strategy, we are repeating the train_test_split multiple times randomly. For each split or fold, the accuracy is calculated then the algorithm aggregate the accuracies calculated from each split and averages them.

Read More
1 2