Anita Sarkeesian Hates Talking About Gamergate—but She Has To
A decade ago, she was the target of a harassment campaign for her feminist critiques of video games. With That Time When, she can put it behind her.
This Personalized Crispr Therapy Is Designed to Attack Tumors
In a small study, researchers modified patients’ immune cells to target their particular cancer—but it only worked for a third of volunteers.
Mimicking life: Breakthrough in non-living materials
Researchers have discovered a new process that uses fuel to control non-living materials, similar to what living cells do. The reaction cycle can easily be applied to a wide range of materials and its rate can be controlled — a breakthrough in the emerging field of such reactions. The discovery is a step towards soft …
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Scientists articulate new data standards for AI models
Aspiring bakers are frequently called upon to adapt award-winning recipes based on differing kitchen setups. Someone might use an eggbeater instead of a stand mixer to make prize-winning chocolate chip cookies, for instance.
Smarter sensor sniffs out target gases
A chemical sensor endowed with artificial intelligence can learn to detect certain gases in the air with high sensitivity and selectivity. The device, developed at KAUST, uses machine learning to differentiate the gases according to the way they induce slight temperature changes in the sensor as they interact with it.
Sometimes it’s bad for AI to be too curious
It’s a dilemma as old as time. Friday night has rolled around, and you’re trying to pick a restaurant for dinner. (Assuming there’s still reservations since you waited until the last minute to book). Anyways, should you go to your most beloved watering hole, or try a new establishment, in the hopes of discovering something …
Is this a deer I see? Socially aware AI adapts by asking questions of humans
As good as they’ve become, artificial intelligence agents are still largely only as good as the data upon which they were trained. They don’t know what they don’t know. In the real world, people faced with unfamiliar situations and surroundings adapt by watching what others around them are doing and by asking questions. When in …
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MAEEG: Masked Auto-encoder for EEG Representation Learning
This paper was accepted at the Workshop on Learning from Time Series for Health at NeurIPS 2022. Decoding information from bio-signals such as EEG, using machine learning has been a challenge due to the small data-sets and difficulty to obtain labels. We propose a reconstruction-based self-supervised learning model, the masked auto-encoder for EEG (MAEEG), for …
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Seeing through hardware counters: a journey to threefold performance increase
By Vadim Filanovsky and Harshad Sane In one of our previous blogposts, A Microscope on Microservices we outlined three broad domains of observability (or “levels of magnification,” as we referred to them) — Fleet-wide, Microservice and Instance. We described the tools and techniques we use to gain insight within each domain. There is, however, a class of problems …
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Approaches to long-term planning with IBM Planning Analytics
In our collective rush to react to ever-changing marketplace dynamics and shifts in the economy, it’s easy to focus on short-term plans, to the neglect of long-term planning. Today’s leaders need to have several plans – short-term, medium-term, and long-term. Different plans for different needs How do these plans differ? A short-term plan is designed …
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