In the News
Why AI and machine learning are drifting away from the cloud
Cloud computing isn’t going anywhere, but some companies are shifting their machine learning data and models to their own machines they manage in-house. Adopters are spending less money and getting better performance.
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In The News
Ghost in the drum machine: How creative AI is kicking off a paradigm shift in music
Using OpenAI’s Jukebox, which draws from a repertoire of more than a million songs to generate music and vocals, the pair began trading song ideas back and forth via cassette tape during the pandemic. This is not ‘the computer’ making music – the AI is based on a million songs, thousands of hours of...
Aisera lands $90M to automate customer service requests with AI
Aisera, a startup developing what it describes as an “AI-driven” support ticketing system, today announced that it raised $90 million in Series D funding led by Goldman Sachs with participation from Zoom, True Ventures, Menlo Ventures, Norwest Venture Partners, Icon Ventures, Khosla Ventures, First Round Capital and others.
Book Review : Why Machines will Never Rule the World
The book’s core argument is that an artificial intelligence that could equal or exceed human intelligence—sometimes called artificial general intelligence (AGI)—is for mathematical reasons impossible. It offers two specific reasons for this claim: Human intelligence is a capability of a complex...
Applied use cases
Can artificial intelligence really help us talk to the animals?
A California-based organisation wants to harness the power of machine learning to decode communication across the entire animal kingdom. While Raskin acknowledges there will be a higher likelihood of rich, symbolic communication among social animals – for example primates, whales and dolphins – the...
No code, no problem—we try to beat an AI at its own game with new tools
Over the past year, machine learning and artificial intelligence technology have made significant strides. Specialized algorithms, including OpenAI's DALL-E, have demonstrated the ability to generate images based on text prompts with increasing canniness.
Andrew Hopkins of Exscientia: the man using AI to cure disease
The British scientist’s company employs artificial intelligence to drastically cut the time of drug development
Regulation needed for AI, technology environmental impact
To implement effective government regulation of technologies like AI and cloud computing, more data on the technologies' environmental impacts is needed.
Resisting Dehumanization in the Age of “AI”
Experience of being subjected to acts that express lack of perception of one's humanity and/or deny human experience or human rights Fully human • Entitled to all rights recognized as human rights https://bit.ly/EMB-blog1 Digital Physiognomy (see Agüera y Arcas, Mitchell & Todorov 2017) •...
How AI Conferences Can Foster a Responsible Research Culture
Together, they considered what conference organizers could do to encourage the habit of reflecting on potential downstream impacts of AI research among authors submitting papers for conference review. “Through our collaboration with CIFAR and Ada Lovelace Institute on the workshop and resulting...
5 Trends Dominating the Robotics Sector
When referring to ‘robotics’, there are six main categories that are included under this term: Industrial Robots Collaborative Robots (cobots) Mobile Robots Unmanned Aerial Vehicle Systems (UAVs) Consumer Robots Exoskeletons USA Receives Most VC Funding There is a growing eagerness among investors...
How an AI managed to confuse humans in an imitation game
Researchers from the Italian Institute of Technology have trained an artificially intelligent computer program to pass a nonverbal Turing test. By behaving like humans would, such as changing up its reaction times while participating in an interactive shape and color-matching game, the AI was able...
Human- or object-like? Cognitive anthropomorphism of humanoid robots
The overall goal of the present research was to expand the knowledge about the human perception of robots. In doing so, we adopted an experimental psychological perspective on robotics (see ) and sought to uncover the cognitive roots underlying the anthropomorphism of these nonhuman agents.
Developing a reporting guideline for artificial intelligence-centred diagnostic test accuracy studies: the STARD-AI protocol
STARD-AI will be the product of an extensive evidence generation process that is led by multiple stakeholders (clinician scientists, computer scientists, journal editors, Enhancing Quality and Transparency of Health ResearchNetwork representatives, reporting guideline developers,
MultiNeRF: A Code Release for Mip-NeRF 360, Ref-NeRF, and RawNeRF
Our script is simply a thin wrapper for COLMAP--if you have run COLMAP yourself, all you need to do to load your scene in NeRF is ensure it has the following format: my_dataset_dir/images/ <--- all input images my_dataset_dir/sparse/0/ <--- COLMAP sparse reconstruction files (cameras, images,...
‘New era in digital biology’: AI reveals structures of nearly all known proteins
What a difference a year makes. Twelve months ago, the artificial intelligence (AI) company DeepMind stunned many scientists with the release of predicted structures for some 350,000 proteins, part of the work recognized as Science’s 2021 Breakthrough of the Year.