A new algorithm developed by Chinese company Baidu Research is dramatically faster than prior methods and shown to boost the antibody response of mRNA vaccines by up to 128 times.
Baidu Research is the research arm of Baidu, one of the largest technology companies in China. Established in 2014, it has since then been involved in various research activities such as natural language processing (NLP), machine learning, computer vision, robotics, and other areas of artificial intelligence.
Scientists have invented a simple metallic coating treatment for clothing or wearable textiles, which can repair itself, repel bacteria, and even monitor a person’s electrocardiogram (ECG) heart signals.
This is according to a press release by Flinders University published last month.
The inventors of the new coating say the conductive circuits created by liquid metal (LM) particles can transform wearable electronics due to the fact that the ‘breathable’ electronic textiles have special connectivity powers to ‘autonomously heal’ themselves even when cut.
Language and speech are how we express our inner thoughts. But neuroscientists just bypassed the need for audible speech, at least in the lab. Instead, they directly tapped into the biological machine that generates language and ideas: the brain.
Using brain scans and a hefty dose of machine learning, a team from the University of Texas at Austin developed a “language decoder” that captures the gist of what a person hears based on their brain activation patterns alone. Far from a one-trick pony, the decoder can also translate imagined speech, and even generate descriptive subtitles for silent movies using neural activity.
Here’s the kicker: the method doesn’t require surgery. Rather than relying on implanted electrodes, which listen in on electrical bursts directly from neurons, the neurotechnology uses functional magnetic resonance imaging (fMRI), a completely non-invasive procedure, to generate brain maps that correspond to language.
An Indiegogo crowdfunding campaign for the Segway Navimow robot lawn mower with VisionFence will soon launch in North America. The device can use integrated sensors to detect lawn edges and obstacles and navigate in areas of weak signal. Other features include EFLS positioning and adjustable cutting height.
Coding & Productivity Tools suggests that other artificial intelligence (AI) tools are superior to ChatGPT in certain ways, yet they are not widely utilized. The video aims to showcase these tools and their unique features that make them stand out from ChatGPT, a widely known and popular AI tool. Delve into the features and benefits of these AI tools, explaining why they are better than ChatGPT and how they can enhance productivity in coding and other areas. In the video, you will find out why these tools have not gained widespread adoption despite their advantages over ChatGPT, perhaps discussing factors such as marketing or accessibility. Today’s video will likely be informative for those interested in AI tools and how they can improve productivity and efficiency in various fields.00:00 — Intro.
00:57 — Autonomous AI
01:16 — AgentGPT
04:41 — Ora.sh.
05:38 — Meetcody.ai.
07:11 — Jasper.
09:08 — literallyanything.io.
10:57 — My thoughts on AI
12:03 — Outro#BETTERThanChatGPT #tiffintech
What can I say? I found that thoroughly entertaining, and the animation style to be a little jerky but engrossing. The AI tools used to create this short are Elevenlabs, Runwayml’s GEN2, and ChatGPT-4.
This is interesting. The thing that stuck with me was the fact that the “mass” appearance and texture is consist in the different vignettes, what allows it to be the character it was intended to be as per the script. I wonder if this was achieved by frame referencing the prompt of additional vignettes with was originally created.
Some of the big AI tech companies (Google, Microsoft, OpenAI, and Anthropic) sat with Vice-President Kamala Harris for two hours on Thursday. President Biden stopped by the meeting, telling the execs “What you’re doing has enormous potential and enormous danger.” An “independent exercise” at DEF CON 31, a major hacker event in August, will provide a transparent public assessments of how well existing generative AI systems meet the Biden administration’s AI Bill of Rights blueprint.
Is it possible to get ahead of unintended consequences?