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Apr 1, 2022

Meta AI Team Open-Sources Mephisto: A New Platform For Open And Collaborative Way Of Collecting Data To Train ML Models

Posted by in category: robotics/AI

Training datasets are very important for experimenting with varied data to train new AI models. However, many commonly used public data sets contain labeling errors. This makes it challenging to train robust models, particularly for novel tasks. Many researchers use techniques such as employing a variety of data quality control procedures to overcome these shortcomings. However, there is no centralized repository consisting of examples of using these strategies.

Meta AI researchers have recently released Mephisto. It is a new platform to collect, share, and iterate on the most promising approaches to collecting training datasets for AI models. Researchers can exchange unique collecting strategies with Mephisto in a reusable and iterable format. It also allows them to change out components and quickly locate the exact annotations required, minimizing the barrier to custom task creation.

The team uncovers many common pathways for driving a complex annotation activity from concept to data collection in Mephisto. In addition to improving the quality of datasets, Mephisto also enhances the experience of the researchers and annotators who created the data set.

Mar 31, 2022

Artificial synapse created using capacitors

Posted by in category: robotics/AI

A new approach to in-memory computing proposes a new set up to create an artificial synapse that can both store and process data.

In this blossoming era of AI, efficient computational approaches to processing and storing large amounts of data are required. However, current computer designs have inherent performance limitations.

In recent years, research has been focused on the development of alternative computing architectures that mimic the brain. These devices, called neuromorphic computers, circumvent many of the issues associated with the traditional von Neumann architecture, which has been around since 1945 and is composed of processing and memory units.

Mar 31, 2022

Moon Rabbit partners with Foresight to accelerate longevity ideas into reality

Posted by in category: life extension

Speculate to accumulate lifespan – how crypto-conglomerate Moon Rabbit is going bigger and better for everyone.

Mar 31, 2022

Battery breakthrough doubles lifespan of electric car batteries

Posted by in categories: bioengineering, computing, nanotechnology, sustainability, transportation

Engineers have discovered a way to more than double the lifespan of batteries used in smartphones and electric cars.

The battery breakthrough was successfully demonstrated by researchers at the University of Queensland in Australia, who increased the lifespan of a lithium-ion (li-ion) battery from several hundred charge/ discharge cycles, to more than 1,000.

“Our process will increase the lifespan of batteries in many things, from smartphones and laptops, to power tools and electric vehicles,” said Professor Lianzhou Wang from the Australian Institute for Bioengineering and Nanotechnology.

Mar 31, 2022

Meta’s AI luminary LeCun explores deep learning’s energy frontier

Posted by in categories: physics, robotics/AI

So-called energy-based models, which borrow concepts from statistical physics, may lead the way to ‘abstract prediction,’ says Yann LeCun, allowing for a ‘unified world model’ for AI capable of planning.

Mar 31, 2022

Hyper-CEST NMR technique reveals missing structure of a novel container molecule

Posted by in categories: biotech/medical, chemistry

Using the Hyper-CEST NMR technique, the team led by Leif Schröder from the Leibniz-Forschungsinstitut für Molekulare Pharmakologie (FMP) and the Deutsches Krebsforschungszentrum (DKFZ) has managed to reveal two previously little researched variants of a type of transport container from the class of metal–organic polyhedra (MOPs). The researchers want to use this knowledge to develop a novel type of contrast agent in MR (magnetic resonance) imaging.

The concept of a modular construction system proves useful in many applications for assembling complex structures for specific functions from individual, repeated sub-units. In chemistry, the principle can be used to construct a self-assembling network from smaller molecular units that acts as a transport container of a defined size. For example, several can be linked with . These MOPs (metal–organic polyhedra) are used, for instance, to capture or to pave the way for more effective chemotherapeutic agents by loading them with certain drugs, which they then release in the tumor. Several aspects of the behavior of these structures have not yet been adequately explored. This is partly because there are not always appropriate techniques available to observe the loading and unloading of these MOPs at the —often, no differences can be measured between the empty and loaded variants for either the container or its contents.

In cooperation with a team from the University of Oulu in Finland, Leif Schröder’s research group has now investigated MOPs that spontaneously assemble in solution from iron ions and an organic compound to form tetrahedra. In the process, the organic struts can be attached differently to the iron “nodes.” Essentially, this influences the properties of MOPs, such as their capacity to kill tumor cells. In the case of the MOP under study, however, it was previously thought that only one of the three theoretically predicted variants existed. The other two variants were considered too unstable because no were able to detect them. Using a new method of (hyper-CEST NMR), Schröder’s team member Jabadurai Jayapaul has now succeeded in demonstrating that these previously unknown variants do exist.

Mar 31, 2022

DeepMind Mafia, DishBrain, PRIME, ZooKeeper AI, Instant NeRF

Posted by in categories: biological, climatology, robotics/AI, supercomputing

Mar 31, 2022


Our 91st episode with a summary and discussion of last week’s big AI news!
Outline:

Continue reading “DeepMind Mafia, DishBrain, PRIME, ZooKeeper AI, Instant NeRF” »

Mar 31, 2022

Axiom Space Ax-1: Launch date, mission plans, and what comes next

Posted by in category: space

Axiom Space has bold plans to send private citizens into space, as a stepping stone to developing a complete private space station.

Mar 31, 2022

CRISPR/Cas9-engineered Gad1 elimination in rats leads to complex behavioral changes: implications for schizophrenia

Posted by in categories: biotech/medical, genetics, neuroscience

GABAergic dysfunctions have been implicated in the pathogenesis of schizophrenia, especially the associated cognitive impairments. The GABA synthetic enzyme glutamate decarboxylase 67-kDa isoform (GAD67) encoded by the GAD1 gene is downregulated in the brains of patients with schizophrenia. Furthermore, a patient with schizophrenia harboring a homozygous mutation of GAD1 has recently been discovered. However, it remains unclear whether loss of function of GAD1 leads to the symptoms observed in schizophrenia, including cognitive impairment. One of the obstacles faced in experimental studies to address this issue is the perinatal lethality of Gad1 knockout (KO) mice, which precluded characterization at the adult stage. In the present study, we successfully generated Gad1 KO rats using CRISPR/Cas9 genome editing technology.

Mar 31, 2022

Behavioral Consequences of a Combination of Gad1 Haplodeficiency and Adolescent Exposure to an NMDA Receptor Antagonist in Long-Evans Rats

Posted by in categories: biotech/medical, existential risks, neuroscience

Glutamate decarboxylase 67-kDa isoform (GAD67), which is encoded by the GAD1 gene, is one of the key enzymes that produce GABA. The reduced expression of GAD67 has been linked to the pathophysiology of schizophrenia. Additionally, the excitatory glutamatergic system plays an important role in the development of this disorder. Animal model studies have revealed that chronic blockade of NMDA-type glutamate receptors can cause GABAergic dysfunction and long-lasting behavioral abnormalities. Based on these findings, we speculated that Gad1 haplodeficiency combined with chronic NMDA receptor blockade would lead to larger behavioral consequences relevant to schizophrenia in a rat model. In this study, we administered an NMDAR antagonist, MK-801 (0.2 mg/kg), to CRISPR/Cas9-generated Gad1+/− rats during adolescence to test this hypothesis. The MK-801 treated Gad1+/− rats showed a shorter duration in each rearing episode in the open field test than the saline-treated Gad1+/+ rats. In contrast, immobility in the forced swim test was increased and fear extinction was impaired in Gad1+/− rats irrespective of MK-801 treatment. Interestingly, the time spent in the center region of the elevated plus-maze was significantly affected only in the saline-treated Gad1+/− rats. Additionally, the MK-801-induced impairment of the social novelty preference was not observed in Gad1+/− rats. These results suggest that the synergistic and additive effects of Gad1 haplodeficiency and NMDA receptor blockade during adolescence on the pathogenesis of schizophrenia may be more limited than expected. Findings from this study also imply that these two factors mainly affect negative or affective symptoms, rather than positive symptoms.

γ-Aminobutyric acid (GABA) is a primary inhibitory neurotransmitter in the central nervous system (Obata, 2013). Post-mortem brain studies on schizophrenia have shown that GABAergic disturbances are part of the pathophysiology of the disorder (Lewis and Sweet, 2009). In particular, the expression level of the GABA-synthesizing enzyme glutamate decarboxylase 67-kDa isoform (GAD67) is lower in the cerebral cortex of patients with schizophrenia than in that of healthy subjects (Guidotti et al., 2000; Volk et al., 2000; Hashimoto et al., 2003; Hashimoto et al., 2008; Curley et al., 2011). GAD67 is encoded by the GAD1 gene, whose SNPs are also suggested to be risk factors for schizophrenia (Addington et al., 2005). We previously reported that Gad1−/− rats displayed some schizophrenia-relevant behaviors, including working memory, which is important for the functional outcome of schizophrenia (Fujihara et al., 2020a).